Resource support application verification method and device

Abstract

The invention relates to a resource support application verification method and device. The method comprises the steps of obtaining enterprise feature data of each enterprise in response to verification requests of a plurality of enterprises for resource support application; processing the characteristic data of each enterprise, and determining verification index data of each enterprise; according to the characteristic data of each enterprise and the verification index data, enterprise quantification information of the resource support application of each enterprise is determined; and according to the quantitative information of each enterprise, determining a verification result of the resource support application of each enterprise. By adopting the method, the accuracy of the verification result of the resource support application of the enterprise can be improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a resource support application verification method and device. Background Art

[0002] Resources generally refer to various materials such as material resources, financial resources, and human resources, and are the basis for major companies to carry out various tasks. Generally, from individuals to teams and even the entire company, they will more or less face the situation of seeking additional resource support from outside.

[0003] In the related art, when multiple enterprises apply for resource support at the same time, it is necessary to verify the application conditions of the multiple enterprises, and determine whether each enterprise can successfully apply for resource support based on the verification results.

[0004] However, in the related art, when verifying resource support applications of various enterprises, there is a technical problem that the accuracy of the verification results is low. Summary of the invention

[0005] Based on this, it is necessary to provide a resource support application verification method and device to address the above technical issues, which can improve the accuracy of verification results.

[0006] In a first aspect, the present application provides a resource support application verification method, comprising:

[0007] In response to verification requests from multiple enterprises for resource support applications, obtain enterprise characteristic data of each enterprise;

[0008] Process the characteristic data of each enterprise and determine the verification index data of each enterprise;

[0009] Determine the quantitative information of each enterprise for resource support application based on the characteristic data of each enterprise and the verification indicator data;

[0010] Based on the quantitative information of each enterprise, the verification results of each enterprise's application for resource support are determined.

[0011] In the resource support application verification method provided in the embodiment of the present application, by responding to the verification requests of multiple enterprises for resource support applications, the enterprise characteristic data of each enterprise is obtained, and then the characteristic data of each enterprise is processed to determine the verification index data of each enterprise, and the enterprise quantitative information of each enterprise for resource support applications is determined according to the characteristic data of each enterprise and the verification index data, and the verification result of each enterprise for resource support applications is determined according to the quantitative information of each enterprise. In this method, when it is necessary to verify multiple resource support applications, the verification index data of each enterprise is obtained according to the enterprise characteristic data of each enterprise, so that each enterprise can be quantitatively evaluated according to the verification index data and enterprise characteristic data of each enterprise to obtain the enterprise quantitative information of each enterprise for resource support applications, and then the verification result of each enterprise for resource support applications can be determined according to the enterprise quantitative information, which is equivalent to quantitatively evaluating each enterprise through the relevant data of each enterprise, obtaining the enterprise quantitative information of each enterprise for resource support applications, and determining the verification result of each enterprise for resource support applications from a more objective perspective, thereby improving the accuracy of the verification result.

[0012] In one embodiment, the characteristic data of each enterprise is processed to obtain verification index data of each enterprise, including:

[0013] Determine the correlation coefficient between multiple data items in the characteristic data of each enterprise according to the characteristic data of each enterprise;

[0014] Determine the key indicator data of each enterprise based on the correlation coefficient between multiple data items in the characteristic data of each enterprise;

[0015] Perform feature processing on the key indicator data of each enterprise to obtain the verification indicator data of each enterprise.

[0016] In the resource support application verification method provided in the embodiment of the present application, the correlation coefficient between multiple data items in the characteristic data of each enterprise is determined based on the characteristic data of each enterprise, and then the key indicator data of each enterprise is determined based on the correlation coefficient between multiple data items in the characteristic data of each enterprise, and finally the key indicator data of each enterprise is subjected to feature processing to obtain the verification indicator data of each enterprise. In this method, by determining the correlation coefficient between multiple data items in the characteristic data of each enterprise, the key indicator data of each enterprise can be determined based on the correlation coefficient, so as to quickly obtain the verification indicator data of each enterprise by feature processing of the key indicator data, which provides an optional way to determine the verification indicator data of each enterprise.

[0017] In one embodiment, the key indicator data of each enterprise is determined based on the correlation coefficient between multiple data items in the characteristic data of each enterprise, including:

[0018] For any two data items, if the correlation coefficient between the two data items is greater than a preset coefficient threshold, one of the two data items is removed;

[0019] The remaining data item of the two data items is determined as the verification index of each enterprise, and the numerical value corresponding to the verification index is determined as the index value of the verification index;

[0020] The verification indicators of each enterprise and the indicator values ​​of the verification indicators are determined as the key indicator data of each enterprise.

[0021] In the resource support application verification method provided in the embodiment of the present application, for any two data items, if the correlation coefficient between the two data items is greater than a preset coefficient threshold, one of the two data items is removed, and the remaining data items in the two data items are determined as the verification indicators of each enterprise, and the numerical value corresponding to the verification indicator is determined as the indicator value of the verification indicator, and then the verification indicator of each enterprise and the indicator value of the verification indicator are determined as the key indicator data of each enterprise. In this method, an optional way to quickly determine the key indicator data is provided; by removing one of the two data items according to the correlation coefficient, and then determining the remaining data items as the verification indicators of each enterprise, and determining the numerical value corresponding to the verification indicator as the indicator value of the verification indicator, the obtained verification indicators and the indicator value of the verification indicators constitute the key indicator data of each enterprise, so that by using the correlation coefficient to remove data items, the amount of sample data can be reduced, and the verification efficiency of resource support applications can be improved.

[0022] In one embodiment, feature processing is performed on the key indicator data of each enterprise to obtain verification indicator data of each enterprise, including:

[0023] Performing data scaling processing on the indicator value of each verification indicator to obtain the scaled indicator value of each verification indicator;

[0024] According to a preset indicator value threshold, a minimization indicator value in the scaling indicator value of each verification indicator is positively processed to obtain a positive indicator value of each verification indicator;

[0025] The positive index value of each verification index is standardized to obtain the standardized index value of each verification index, and the standardized index value of each verification index is determined as the verification index data of each enterprise.

[0026] In the resource support application verification method provided in the embodiment of the present application, the index value of each verification index is subjected to data scaling processing to obtain the scaling index value of each verification index, and then the minimization index value in the scaling index value of each verification index is subjected to positive processing according to the preset index value threshold to obtain the positive index value of each verification index, and then the positive index value of each verification index is subjected to standardization processing to obtain the standardized index value of each verification index, and the standardized index value of each verification index is determined as the verification index data of each enterprise. In this method, by performing data scaling processing, positive processing and standardization processing on the index value of each verification index, and then determining the verification index data according to the data after feature processing, the data quality of the verification index data can be improved, and then the accuracy of the verification result can be improved.

[0027] In one embodiment, the quantitative information of each enterprise for applying for resource support is determined based on the characteristic data of each enterprise and the verification indicator data, including:

[0028] Determine the application condition level of each enterprise based on the characteristic data of each enterprise and the application conditions supported by the target resources;

[0029] Determine the quantitative value of each enterprise's application conditions based on the data of each verification indicator;

[0030] The enterprise quantitative information of each enterprise is determined according to the application condition level of each enterprise and the quantitative value of the application conditions of each enterprise.

[0031] In the resource support application verification method provided in the embodiment of the present application, the application condition level of each enterprise is determined according to the characteristic data of each enterprise and the application conditions supported by the target resource, and then the application condition quantification value of each enterprise is determined according to each verification index data, and then the enterprise quantitative information of each enterprise is determined according to the application condition level of each enterprise and the application condition quantification value of each enterprise. In this method, an optional way to quickly determine the quantitative information of an enterprise is provided; by determining the application information level of each enterprise according to the enterprise characteristic data of each enterprise, and determining the application condition quantification value of each enterprise according to the verification index data of each enterprise, the obtained application condition level and application condition quantification value are the enterprise quantitative information, which provides data support for the subsequent determination of the verification results of the resource support application of each enterprise.

[0032] In one embodiment, the application condition level of each enterprise is determined based on the characteristic data of each enterprise and the application conditions supported by the target resources, including:

[0033] For any enterprise, the preset data comparison rules are used to compare the enterprise characteristic data with the application conditions;

[0034] If the enterprise's enterprise characteristic data all meet the application conditions, the enterprise's application condition level is determined to be high;

[0035] If one of the enterprise characteristic data does not meet the application conditions, the enterprise's application condition level is determined to be low.

[0036] In the resource support application verification method provided in the embodiment of the present application, for any enterprise, the enterprise characteristic data of the enterprise is compared with the application conditions using the preset data comparison rules. If the enterprise characteristic data of the enterprise all meet the application conditions, the enterprise's application condition level is determined to be a high level. If there is one data in the enterprise characteristic data of the enterprise that does not meet the application conditions, the enterprise's application condition level is determined to be a low level. In this method, the enterprise's application condition level is determined by comparing the enterprise characteristic data with the application conditions. If the enterprise characteristic data all meet the application conditions, the enterprise's application condition level is determined to be a high level. Otherwise, it is a low level. The application condition level is determined by comparing the enterprise characteristic data with the application conditions, which improves the efficiency of determining the application condition level.

[0037] In one embodiment, the verification indicator data of each enterprise includes standardized indicator values ​​of multiple verification indicators of each enterprise; and according to each verification indicator data, the quantitative value of the application condition of each enterprise is determined, including:

[0038] Determine the indicator probability of each verification indicator according to the standardized indicator value of each verification indicator and the sum of the standardized indicator values;

[0039] According to the indicator probability of each verification indicator and the number of enterprises of each enterprise, the indicator information entropy of each verification indicator is determined;

[0040] According to the indicator information entropy and standardized indicator value of each verification indicator, the quantitative value of the application conditions of each enterprise is determined.

[0041] In the resource support application verification method provided in the embodiment of the present application, the indicator probability of each verification indicator is determined according to the standardized indicator value of each verification indicator and the sum of the standardized indicator values, and then the indicator information entropy of each verification indicator is determined according to the indicator probability of each verification indicator and the number of enterprises of each enterprise, and then the application condition quantitative value of each enterprise is determined according to the indicator information entropy and the standardized indicator value of each verification indicator. In this method, the indicator probability of each verification indicator is first calculated according to the standardized indicator value of each verification indicator, and then the indicator information entropy of each verification indicator is calculated according to the calculated indicator probability, which provides data support for determining the application condition quantitative value of each enterprise, and more objective data can be used to determine the verification results of each enterprise's resource support application, which improves the reliability and accuracy of the verification results.

[0042] In one embodiment, the quantitative value of the application conditions of each enterprise is determined according to the indicator information entropy and the standardized indicator value of each verification indicator, including:

[0043] Determine the indicator weight of each verification indicator according to the indicator information entropy of each verification indicator;

[0044] According to the indicator weight and standardized indicator value of each verification indicator, as well as the maximum standardized indicator value and the minimum standardized indicator value, the optimal solution distance and the worst solution distance of each enterprise are determined;

[0045] According to the optimal solution distance and the worst solution distance of each enterprise, the quantitative value of the application conditions of each enterprise is determined.

[0046] In the resource support application verification method provided in the embodiment of the present application, the indicator weight of each verification indicator is determined according to the indicator information entropy of each verification indicator, and then the optimal solution distance and the worst solution distance of each enterprise are determined according to the indicator weight and the standardized indicator value of each verification indicator, as well as the maximum standardized indicator value and the minimum standardized indicator value, and finally the quantitative value of the application conditions of each enterprise is determined according to the optimal solution distance and the worst solution distance of each enterprise. In this method, the indicator weight of each verification indicator is first determined according to the indicator information entropy of each verification indicator, and the optimal solution distance and the worst solution distance of each enterprise can be calculated according to the indicator weight, and then the quantitative value of the application conditions of each enterprise is quickly determined according to the optimal solution distance and the worst solution distance of each enterprise, which is equivalent to quantitatively scoring each enterprise by measuring the distance between each verification indicator and the positive and negative ideal solutions in the enterprise, so as to obtain the quantitative value of the application conditions of each enterprise, and provide data support for determining the verification results of each enterprise's resource support application.

[0047] In one embodiment, the enterprise quantitative information of each enterprise includes the application condition level and the application condition quantitative value of each enterprise; according to the quantitative information of each enterprise, the verification result of the resource support application of each enterprise is determined, including:

[0048] For any enterprise, if the enterprise's application condition level is high, the enterprise's application condition level and application condition quantitative value will be determined as the verification result of the enterprise's resource support application;

[0049] If the application condition level of an enterprise is low, the application condition level of the enterprise will be determined as the verification result of the enterprise's application for resource support.

[0050] In the resource support application verification method provided in the embodiment of the present application, for any enterprise, if the enterprise's application condition level is a high level, the enterprise's application condition level and the application condition quantification value are determined as the verification result of the enterprise's resource support application, and if the enterprise's application condition level is a low level, the enterprise's application condition level is determined as the verification result of the enterprise's resource support application. In this method, when the enterprise's application condition level is a high level, the enterprise's application condition level and the application condition quantification value are determined as the verification result of the enterprise's resource support application, so that the relevant departments can be provided with a basis for the issuance of resource support, and when the enterprise's application condition level is a low level, the enterprise's application condition level is directly determined as the verification result of the enterprise's resource support application, providing an optional way to quickly determine the verification result.

[0051] In one embodiment, obtaining enterprise characteristic data of each enterprise includes:

[0052] Sending data acquisition requests to multiple third-party platforms; the data acquisition requests include corporate identification information of each enterprise;

[0053] Receive data sent by each third-party platform based on each enterprise's identification information;

[0054] The data sent by each third-party platform is determined as the enterprise characteristic data of each enterprise.

[0055] In the resource support application verification method provided in the embodiment of the present application, a data acquisition request is sent to multiple third-party platforms, and the data acquisition request includes the enterprise identification information of each enterprise, and then the data sent by each third-party platform according to the enterprise identification information is received, and then the data sent by each third-party platform is determined as the enterprise characteristic data of each enterprise. In this method, by sending data acquisition requests to multiple third-party platforms, each third-party platform can feedback the data of each enterprise to the computer device based on the enterprise identification information of each enterprise carried in the data acquisition request. The feedback data is the enterprise characteristic data of each enterprise, which provides an optional way to quickly obtain enterprise characteristic data.

[0056] In a second aspect, the present application also provides a resource support application verification device, including:

[0057] A data acquisition module, for responding to verification requests from multiple enterprises for resource support applications, and acquiring enterprise characteristic data of each enterprise;

[0058] The first determination module is used to process the characteristic data of each enterprise and determine the verification index data of each enterprise;

[0059] The second determination module is used to determine the enterprise quantitative information of each enterprise for resource support application based on the characteristic data of each enterprise and the verification indicator data;

[0060] The third determination module is used to determine the verification result of each enterprise's application for resource support based on the quantitative information of each enterprise.

[0061] In a third aspect, the present application also provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in any one of the embodiments of the first aspect when executing the computer program.

[0062] In a fourth aspect, the embodiments of the present application further provide a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps in any one of the embodiments of the first aspect are implemented.

[0063] In a fifth aspect, the embodiments of the present application further provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps in any one of the embodiments in the first aspect are implemented.

[0064] The resource support application verification method and device obtain the enterprise characteristic data of each enterprise by responding to the verification requests of resource support applications from multiple enterprises, and then process the characteristic data of each enterprise to determine the verification index data of each enterprise, and determine the enterprise quantitative information of each enterprise applying for resource support according to the characteristic data of each enterprise and the verification index data, and determine the verification result of each enterprise applying for resource support according to the quantitative information of each enterprise. In this method, when it is necessary to verify multiple resource support applications, the verification index data of each enterprise is obtained according to the enterprise characteristic data of each enterprise, so that each enterprise can be quantitatively evaluated according to the verification index data and enterprise characteristic data of each enterprise to obtain the enterprise quantitative information of each enterprise applying for resource support, and then the verification result of each enterprise applying for resource support can be determined according to the enterprise quantitative information, which is equivalent to quantitatively evaluating each enterprise through the relevant data of each enterprise, obtaining the enterprise quantitative information of each enterprise applying for resource support, and determining the verification result of each enterprise applying for resource support from a more objective perspective, thereby improving the accuracy of the verification result. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0066] Figure 1is an internal structure diagram of a computer device in one embodiment;

[0067] Figure 2 A schematic diagram of a process flow of a resource support application verification method in one embodiment;

[0068] Figure 3 A schematic diagram of a process for determining verification indicator data in one embodiment;

[0069] Figure 4 A schematic diagram of a process for determining key indicator data in an embodiment;

[0070] Figure 5 A schematic diagram of a process for determining verification indicator data in another embodiment;

[0071] Figure 6 A schematic diagram of a process for determining quantitative information of an enterprise in one embodiment;

[0072] Figure 7 A schematic diagram of a process for determining an application condition level in one embodiment;

[0073] Figure 8 A schematic diagram of a process for determining a quantitative value of an application condition in one embodiment;

[0074] Fig. 9 A schematic diagram of a process for determining a quantitative value of an application condition in another embodiment;

[0075] Fig.10 A schematic diagram of a process for determining a verification result in one embodiment;

[0076] Fig.11 A schematic diagram of a process for obtaining enterprise characteristic data in one embodiment;

[0077] Fig.12 A schematic diagram of a flow chart of a resource support application verification method in another embodiment;

[0078] Fig.13 A schematic diagram of the structure of a resource support application verification device in an embodiment. DETAILED DESCRIPTION

[0079] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0080] The resource support application verification method provided in the embodiment of the present application can be applied to a computer device. The computer device can be a server, and its internal structure diagram can be as follows: Figure 1As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a resource support application verification method. Those skilled in the art can understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0081] Resources generally refer to various materials such as material resources, financial resources, and human resources, which are the basis for major companies to carry out various tasks. Generally, from individuals to teams and even the entire company, they will more or less face the situation of seeking additional resource support from outside.

[0082] For example, for small and medium-sized enterprises that have difficulties in production and operation but have markets for their products, promising projects, and competitive technologies, relevant departments will usually provide resource support. Enterprises with resource support needs can apply to relevant departments for resource support.

[0083] In the related art, when multiple enterprises apply for resource support at the same time, it is necessary to verify the application conditions of the multiple enterprises, and determine whether each enterprise can successfully apply for resource support based on the verification results.

[0084] However, in the related art, when verifying resource support applications of various enterprises, there is a technical problem that the accuracy of the verification results is low.

[0085] Based on this, the present application provides a resource support application verification method. When multiple resource support applications need to be verified, the verification index data of each enterprise is obtained based on the enterprise characteristic data of each enterprise, so that each enterprise can be quantitatively evaluated based on the verification index data and enterprise characteristic data of each enterprise to obtain the enterprise quantitative information of each enterprise's resource support application, and then the verification result of each enterprise's resource support application can be determined based on the enterprise quantitative information. This is equivalent to quantitatively evaluating each enterprise through the relevant data of each enterprise, obtaining the enterprise quantitative information of each enterprise's resource support application, and determining the verification result of each enterprise's resource support application from a more objective perspective, thereby improving the accuracy of the verification result.

[0086] It should be noted that the beneficial effects brought about by the embodiments of the present application or the technical problems solved are not limited to this one, but may also include other implicit or related problems. For details, please refer to the description of the following embodiments.

[0087] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0088] In an exemplary embodiment, Figure 2 As shown, a resource support application verification method is provided, which is applied to Figure 1 The computer device in the example is used to illustrate, including the following steps 201 to 204. Among them:

[0089] S201, in response to verification requests from multiple enterprises for resource support applications, obtaining enterprise characteristic data of each enterprise.

[0090] Among them, enterprise characteristic data include basic enterprise information, annual enterprise report, basic information of actual controlling shareholder, legal representative information, business scope, annual tax declaration information, basic employee information, employee insurance information, enterprise intellectual property information, etc. On the one hand, these data can be obtained from websites, which usually include basic information disclosed by various enterprises, such as basic enterprise information, legal representative information, business scope, etc. On the other hand, they can be obtained from other systems, for example, annual tax declaration information of various enterprises can be obtained from the tax system, enterprise intellectual property information of various enterprises can be obtained from the intellectual property management system, and employee insurance information of various enterprises can be obtained from the human resources and social security system.

[0091] The verification request for resource support applications from multiple enterprises refers to the request that is triggered when the resource support applications from multiple enterprises need to be verified in the verification application of the computer device. Naturally, after receiving the verification request, the computer device needs to verify the resource support applications from multiple enterprises to obtain the verification results of the resource support applications from each enterprise. For example, when an enterprise develops a new product, it needs the support of human, material and financial resources. Human and material resources can be applied for from the administrative department within the enterprise, and financial resources can be applied for by the enterprise to relevant departments for enterprise subsidies. When an enterprise has a demand for resource support application, it can send an application request to the department that provides resource support, and then when the department receives the enterprise's application, it needs to verify the enterprise's resource support application.

[0092] In one embodiment, the request is triggered by a user in a verification application through a computer device interface; wherein the triggering method includes but is not limited to external input device click, voice control, touch screen trigger, etc., and the embodiment of the application does not limit the triggering method. It should be noted that the user here can refer to the staff of the department that provides resource support.

[0093] In another embodiment, the request is triggered according to a preset automatic program; for example, if the computer device receives application information from multiple enterprises, it automatically triggers the multiple enterprises to make resource support application verification requests according to a preset program; or, after the computer device receives application information from multiple enterprises, if the received application information reaches a certain threshold, and / or, when the application is in an idle state, it automatically triggers the multiple enterprises to make resource support application verification requests according to a preset program. The embodiment of the present application does not limit the triggering method of the multiple enterprises making resource support application verification requests.

[0094] Exemplarily, when a computer device receives verification requests from multiple enterprises for resource support applications, it can obtain basic information of each enterprise from a website and send data acquisition requests for each enterprise to multiple third-party systems to obtain other information of each enterprise from multiple third-party systems, and then determine the basic information of each enterprise obtained from the website and the other information of each enterprise obtained from the third-party system as the enterprise characteristic data of each enterprise.

[0095] S202, processing the characteristic data of each enterprise to determine the verification index data of each enterprise.

[0096] After receiving the enterprise characteristic data of each enterprise, the computer device can perform characteristic processing on the enterprise characteristic data of each enterprise to obtain verification index data of each enterprise. The verification index data refers to data composed of indicators used to measure whether each enterprise can successfully apply for resource support.

[0097] For example, the enterprise characteristic data of each enterprise can be cleaned to remove abnormal data, and then the enterprise characteristic data can be normalized and standardized to obtain verification indicator data of each enterprise.

[0098] S203, determining the enterprise quantitative information for each enterprise to apply for resource support based on the characteristic data of each enterprise and the verification indicator data.

[0099] After determining the verification index data of each enterprise, the computer equipment can score each enterprise in combination with the enterprise characteristic data of each enterprise to obtain the enterprise quantitative information of each enterprise for resource support application. Among them, the enterprise quantitative information refers to the quantitative result obtained by quantitatively scoring the application conditions of the enterprise.

[0100] In one embodiment, the computer device can score each enterprise according to a preset scoring strategy, combined with the enterprise characteristic data and verification indicator data of each enterprise, to obtain an enterprise scoring value for each enterprise. The enterprise scoring value is the enterprise quantitative information for each enterprise to apply for resource support.

[0101] In another embodiment, the computer device can input the enterprise characteristic data and verification index data of each enterprise into a pre-trained enterprise evaluation model, and the enterprise evaluation model processes the enterprise characteristic data and verification index data of each enterprise to obtain quantitative enterprise information for each enterprise to apply for resource support.

[0102] Among them, the enterprise evaluation model can be a pre-trained neural network model. Optionally, the enterprise evaluation model can be constructed by using network models such as error back propagation neural network, recurrent neural network, deep neural network and convolutional neural network.

[0103] S204: Determine the verification result of each enterprise's application for resource support based on the quantitative information of each enterprise.

[0104] After determining the enterprise quantitative information of each enterprise applying for resource support, the computer equipment can determine the verification result of each enterprise's application for resource support based on the enterprise quantitative information.

[0105] Exemplarily, the computer device may compare the enterprise quantitative information of each enterprise applying for resource support with a preset threshold, and determine the verification result of each enterprise applying for resource support based on the comparison result of the enterprise quantitative information and the preset threshold. For example, for any enterprise, if the enterprise quantitative information of the enterprise is less than the preset threshold, the verification result of the enterprise applying for resource support is determined to be that the enterprise has not passed the verification; if the enterprise quantitative information of the enterprise is greater than or equal to the preset threshold, the verification result of the enterprise applying for resource support is determined to be that the enterprise has passed the verification.

[0106] In the resource support application verification method provided in the embodiment of the present application, by responding to the verification requests of multiple enterprises for resource support applications, the enterprise characteristic data of each enterprise is obtained, and then the characteristic data of each enterprise is processed to determine the verification index data of each enterprise, and the enterprise quantitative information of each enterprise for resource support applications is determined according to the characteristic data of each enterprise and the verification index data, and the verification result of each enterprise for resource support applications is determined according to the quantitative information of each enterprise. In this method, when it is necessary to verify multiple resource support applications, the verification index data of each enterprise is obtained according to the enterprise characteristic data of each enterprise, so that each enterprise can be quantitatively evaluated according to the verification index data and enterprise characteristic data of each enterprise to obtain the enterprise quantitative information of each enterprise for resource support applications, and then the verification result of each enterprise for resource support applications can be determined according to the enterprise quantitative information, which is equivalent to quantitatively evaluating each enterprise through the relevant data of each enterprise, obtaining the enterprise quantitative information of each enterprise for resource support applications, and determining the verification result of each enterprise for resource support applications from a more objective perspective, thereby improving the accuracy of the verification result.

[0107] Based on the above embodiment, an embodiment is provided to illustrate the process of processing the characteristic data of each enterprise and determining the verification index data of each enterprise.

[0108] In an exemplary embodiment, Figure 3 As shown, the characteristic data of each enterprise is processed to obtain the verification index data of each enterprise, including:

[0109] S301, determining the correlation coefficient between multiple data items in the characteristic data of each enterprise according to the characteristic data of each enterprise.

[0110] The computer device may adopt a correlation analysis algorithm to analyze the correlation between multiple data items in each enterprise characteristic data, and obtain the correlation coefficient between multiple data items in each enterprise characteristic data.

[0111] For example, a correlation analysis algorithm may be used to calculate the Pearson correlation coefficient between every two data items, wherein the computer formula of the Pearson correlation coefficient is shown in the following formula (1).

[0112] (1)

[0113] in, , are the means of the data items x and y respectively; , are the i-th observed values ​​of x and y respectively, where the observed values ​​refer to the data of previous years; The value is between -1 and 1. The larger the absolute value of the correlation coefficient, the greater the correlation between the two. The closer the absolute value is to 1, the more completely correlated the two are. The closer the absolute value is to 0, the more no linear correlation there is between the two. If the correlation coefficient is positive, it is a positive correlation. If the correlation coefficient is negative, it is a negative correlation.

[0114] S302, determining key indicator data of each enterprise according to the correlation coefficient between multiple data items in the characteristic data of each enterprise.

[0115] After obtaining the correlation coefficient between multiple data items in the characteristic data of each enterprise, the computer device can remove one of the two data items with greater correlation according to the correlation coefficient, and then determine the remaining data items and the values ​​corresponding to the remaining data items as the key indicator data of each enterprise. Among them, the key indicator data refers to the data composed of the key indicators of each enterprise's resource support application, wherein the key indicators are composed of the remaining data items after removing the same data items from the above multiple data items.

[0116] S303, performing feature processing on the key indicator data of each enterprise to obtain verification indicator data of each enterprise.

[0117] After determining the key indicator data of each enterprise, the computer equipment performs feature processing on the key indicator data of each enterprise, and determines the feature-processed data as the verification indicator data of each enterprise.

[0118] Among them, the feature processing method may include one or more of outlier processing, normalization processing, standardization processing, and forward processing.

[0119] In the resource support application verification method provided in the embodiment of the present application, the correlation coefficient between multiple data items in the characteristic data of each enterprise is determined based on the characteristic data of each enterprise, and then the key indicator data of each enterprise is determined based on the correlation coefficient between multiple data items in the characteristic data of each enterprise, and finally the key indicator data of each enterprise is subjected to feature processing to obtain the verification indicator data of each enterprise. In this method, by determining the correlation coefficient between multiple data items in the characteristic data of each enterprise, the key indicator data of each enterprise can be determined based on the correlation coefficient, so as to quickly obtain the verification indicator data of each enterprise by feature processing of the key indicator data, which provides an optional way to determine the verification indicator data of each enterprise.

[0120] Based on the above embodiment, an embodiment is provided to illustrate the process of determining the key indicator data of each enterprise according to the correlation coefficient between multiple data items in the characteristic data of each enterprise.

[0121] In an exemplary embodiment, Figure 4As shown, according to the correlation coefficients between multiple data items in the characteristic data of each enterprise, the key indicator data of each enterprise is determined, including:

[0122] S401: For any two data items, if the correlation coefficient between the two data items is greater than a preset coefficient threshold, one of the two data items is removed.

[0123] For any two data items, the computer device can obtain a preset coefficient threshold, and then compare the correlation coefficient between the two data items with the coefficient threshold. If the correlation coefficient between the two data items is greater than the coefficient threshold, one of the two data items is removed.

[0124] S402, determining the remaining data item of the two data items as the verification index of each enterprise, and determining the numerical value corresponding to the verification index as the index value of the verification index.

[0125] After removing one of the two data items, the other data item can be used as a verification indicator for each enterprise.

[0126] For any two data items, the computer device can use the remaining data item of the two data items as a verification indicator, and determine the value corresponding to the verification indicator as the indicator value of the verification indicator. After removing one of the data items from all data items in the characteristic data of each enterprise in the above manner, multiple verification indicators of each enterprise can be obtained, and the values ​​of the multiple verification indicators are the indicator values ​​corresponding to the multiple verification indicators.

[0127] S403, determining the verification indicators of each enterprise and the indicator values ​​of the verification indicators as key indicator data of each enterprise.

[0128] After obtaining all the verification indicators of each enterprise, the computer device determines all the verification indicators and the indicator values ​​of each verification indicator as the key indicator data of each enterprise. As shown in Table 1 below, the key indicator data composed of the verification indicators and the indicator values ​​of the verification indicators of each enterprise.

[0129] Table 1 Key indicator data

[0130]

[0131] In the resource support application verification method provided in the embodiment of the present application, for any two data items, if the correlation coefficient between the two data items is greater than a preset coefficient threshold, one of the two data items is removed, and the remaining data items in the two data items are determined as the verification indicators of each enterprise, and the numerical value corresponding to the verification indicator is determined as the indicator value of the verification indicator, and then the verification indicator of each enterprise and the indicator value of the verification indicator are determined as the key indicator data of each enterprise. In this method, an optional way to quickly determine the key indicator data is provided; by removing one of the two data items according to the correlation coefficient, and then determining the remaining data items as the verification indicators of each enterprise, and determining the numerical value corresponding to the verification indicator as the indicator value of the verification indicator, the obtained verification indicators and the indicator value of the verification indicators constitute the key indicator data of each enterprise, so that by using the correlation coefficient to remove data items, the amount of sample data can be reduced, and the verification efficiency of resource support applications can be improved.

[0132] Based on the above embodiment, an embodiment is provided to illustrate the process of performing feature processing on the key indicator data of each enterprise to obtain the verification indicator data of each enterprise.

[0133] In an exemplary embodiment, Figure 5 As shown, the key indicator data of each enterprise is processed with features to obtain the verification indicator data of each enterprise, including:

[0134] S501, performing data scaling processing on the indicator value of each verification indicator to obtain the scaled indicator value of each verification indicator.

[0135] The computer device can scale the maximum value index in the verification index to a range consistent with other indexes to obtain the scaled index value of each verification index.

[0136] Still taking the data in Table 1 as an example, the index value of the "R&D investment" indicator is scaled, and the resulting data is shown in Table 2 below.

[0137] Table 2 Scaling index values ​​of each verification index

[0138]

[0139] S502 , according to a preset indicator value threshold, performing positive processing on the minimization indicator value in the scaling indicator value of each verification indicator to obtain the positive indicator value of each verification indicator.

[0140] Among them, the forward processing is to uniformly transform the indicators into maximization indicators.

[0141] The computer device can convert the minimization index in the scaling index value of each verification index into the maximization index value according to the preset index value threshold and the positive calculation formula, and obtain the positive index value of each verification index. Among them, the positive computer formula is x1=|Mx|; where x is the original verification index value; M is the index value threshold; x1 is the index value after positive processing.

[0142] For example, still taking the verification indicators in Table 1 as an example, the verification indicator of "the number of problems such as the company's historical breach of trust and disputes involved in cases" is a minimization indicator. In order to facilitate unified calculation and processing, it needs to be positively processed. The positive indicator values ​​of each verification indicator are shown in Table 3 below.

[0143] Table 3 Positive index values ​​of each verification index

[0144]

[0145] S503, standardize the positive index value of each verification index to obtain the standardized index value of each verification index, and determine the standardized index value of each verification index as the verification index data of each enterprise.

[0146] After obtaining the positive index value of each verification index, the computer device can perform standardization processing on the positive index value of each verification index to determine the verification index data of each enterprise based on the standardized data.

[0147] Exemplarily, the computer device may use the following formula (2) to perform standardization processing in combination with the positive index value of each verification index to determine the verification index data of each enterprise.

[0148] (2)

[0149] in, is the jth verification indicator of the i-th enterprise, n is the number of indicators of the same type, is the index value after standardization.

[0150] Still taking the verification indicators in Table 1 as an example, the standardized indicator values ​​obtained after standardizing the positive indicator values ​​of each verification indicator are shown in Table 4 below.

[0151] Table 4 Standardized index values ​​of each validation index

[0152]

[0153] In the resource support application verification method provided in the embodiment of the present application, the index value of each verification index is subjected to data scaling processing to obtain the scaling index value of each verification index, and then the minimization index value in the scaling index value of each verification index is subjected to positive processing according to the preset index value threshold to obtain the positive index value of each verification index, and then the positive index value of each verification index is subjected to standardization processing to obtain the standardized index value of each verification index, and the standardized index value of each verification index is determined as the verification index data of each enterprise. In this method, by performing data scaling processing, positive processing and standardization processing on the index value of each verification index, and then determining the verification index data according to the data after feature processing, the data quality of the verification index data can be improved, and then the accuracy of the verification result can be improved.

[0154] Based on any of the above embodiments, an embodiment is provided to illustrate the process of determining the enterprise quantitative information of each enterprise for resource support application based on the characteristic data of each enterprise and the verification indicator data.

[0155] In an exemplary embodiment, Figure 6 As shown, based on the characteristic data of each enterprise and the verification indicator data, the quantitative information of each enterprise for applying for resource support is determined, including:

[0156] S601, determining the application condition level of each enterprise according to the characteristic data of each enterprise and the application conditions supported by the target resources.

[0157] Among them, target resource support refers to a resource support that each enterprise wants to apply for. Application conditions are the conditions that need to be met to apply for target resource support, such as whether the enterprise is a high-tech enterprise, whether the number of employees in the enterprise is more than 100, whether the enterprise has been registered for two years, etc. The application condition level refers to the level at which the enterprise meets the application conditions for target resource support, where a high level means that the enterprise meets all the conditions in the application conditions, and a low level means that the enterprise does not meet all the conditions in the application conditions.

[0158] Exemplarily, for any enterprise, the computer device can compare the enterprise characteristic data of the enterprise with the application conditions supported by the target resources to determine whether the enterprise meets all the application conditions. If so, the application condition level of the enterprise is determined to be high; if not, the application condition level of the enterprise is determined to be low.

[0159] S602, determining the quantitative value of the application conditions of each enterprise according to the verification indicator data.

[0160] The quantitative value of application conditions refers to the score obtained by quantitatively scoring the company's compliance with the application conditions.

[0161] For any enterprise, the computer equipment can use a preset quantitative scoring strategy, combined with the enterprise's verification indicator data to perform quantitative scoring, and obtain the quantitative value of the enterprise's application conditions.

[0162] S603, determining the enterprise quantitative information of each enterprise according to the application condition level of each enterprise and the application condition quantitative value of each enterprise.

[0163] After determining the application condition level of each enterprise and the application condition quantification value of each enterprise, the computer device determines the application condition level of each enterprise and the application condition quantification value of each enterprise as the enterprise quantification information of each enterprise.

[0164] In the resource support application verification method provided in the embodiment of the present application, the application condition level of each enterprise is determined according to the characteristic data of each enterprise and the application conditions supported by the target resource, and then the application condition quantification value of each enterprise is determined according to each verification index data, and then the enterprise quantitative information of each enterprise is determined according to the application condition level of each enterprise and the application condition quantification value of each enterprise. In this method, an optional way to quickly determine the quantitative information of an enterprise is provided; by determining the application information level of each enterprise according to the enterprise characteristic data of each enterprise, and determining the application condition quantification value of each enterprise according to the verification index data of each enterprise, the obtained application condition level and application condition quantification value are the enterprise quantitative information, which provides data support for the subsequent determination of the verification results of the resource support application of each enterprise.

[0165] Based on the above embodiment, an embodiment is provided to illustrate the process of determining the application condition level of each enterprise according to the characteristic data of each enterprise and the application conditions supported by the target resources.

[0166] In an exemplary embodiment, Figure 7 As shown, the application condition level of each enterprise is determined based on the characteristic data of each enterprise and the application conditions supported by the target resources, including:

[0167] S701, for any enterprise, using preset data comparison rules, compare the enterprise characteristic data of the enterprise with the application conditions.

[0168] For any enterprise, the computer equipment can use the big data comparison and analysis method based on the silent authentication method to compare the enterprise characteristic data of the enterprise with the application conditions supported by the target resources to determine the application condition level of the enterprise.

[0169] Among them, the big data comparison and analysis processing method includes pre-set data comparison rules, such as cross-comparison of data from multiple channels, and then compares the enterprise characteristic data and application conditions of the enterprise through the preset data comparison rules.

[0170] S702: If the enterprise characteristic data of the enterprise all meet the application conditions, then determine that the application condition level of the enterprise is a high level.

[0171] After the computer equipment compares the enterprise characteristic data of the enterprise with the application conditions, if the enterprise characteristic data of the enterprise meets the application conditions, it is determined that the enterprise meets the application conditions supported by the target resources, and then determines that the application condition level of the enterprise is high.

[0172] S703: If there is one item in the enterprise characteristic data of the enterprise that does not meet the application conditions, the application condition level of the enterprise is determined to be a low level.

[0173] After the computer equipment compares the enterprise characteristic data of the enterprise with the application conditions, if there is one item in the enterprise characteristic data of the enterprise that does not meet the application conditions, it is determined that the enterprise does not meet the application conditions supported by the target resources, and then determines that the application condition level of the enterprise is low.

[0174] In the resource support application verification method provided in the embodiment of the present application, for any enterprise, the enterprise characteristic data of the enterprise is compared with the application conditions using the preset data comparison rules. If the enterprise characteristic data of the enterprise all meet the application conditions, the enterprise's application condition level is determined to be a high level. If there is one data in the enterprise characteristic data of the enterprise that does not meet the application conditions, the enterprise's application condition level is determined to be a low level. In this method, the enterprise's application condition level is determined by comparing the enterprise characteristic data with the application conditions. If the enterprise characteristic data all meet the application conditions, the enterprise's application condition level is determined to be a high level. Otherwise, it is a low level. The application condition level is determined by comparing the enterprise characteristic data with the application conditions, which improves the efficiency of determining the application condition level.

[0175] Based on the above embodiment, an embodiment is provided to illustrate the process of determining the quantitative value of the application conditions of each enterprise according to the verification indicator data.

[0176] In an exemplary embodiment, Figure 8 As shown, based on the data of each verification indicator, the quantitative value of the application conditions of each enterprise is determined, including:

[0177] S801, determining the indicator probability of each verification indicator according to the standardized indicator value of each verification indicator and the sum of the standardized indicator values.

[0178] In the embodiment of the present application, the verification indicator data of each enterprise includes standardized indicator values ​​of multiple verification indicators of each enterprise.

[0179] The computer equipment can calculate the sum of the standardized indicator values ​​based on the standardized indicator values ​​of each verification indicator in each verification indicator data, and then use a preset indicator probability calculation formula, combined with the standardized indicator value of each verification indicator and the sum of the standardized indicator values, to determine the indicator probability of each verification indicator, so as to provide data support for the subsequent determination of the quantitative value of the application conditions of each enterprise.

[0180] Exemplarily, the following formula (3) may be used to determine the indicator probability of each verification indicator in combination with the standardized indicator value of each verification indicator.

[0181] (3)

[0182] in, is the standardized indicator value; is the indicator probability; i is the number of verification indicators; j is the number of enterprises.

[0183] Still taking the verification indicators in Table 1 as an example, according to the standardized indicator value of each verification indicator and the sum of the standardized indicator values, the indicator probability of each verification indicator is determined as shown in Table 5 below.

[0184] Table 5 Probability of each verification indicator

[0185]

[0186] S802: Determine the indicator information entropy of each verification indicator according to the indicator probability of each verification indicator and the number of enterprises of each enterprise.

[0187] After determining the indicator probability of each verification indicator, the computer device can calculate the indicator information entropy of each verification indicator in combination with the number of enterprises of each enterprise.

[0188] Exemplarily, the computer device may adopt the following formula (4) to determine the indicator information entropy of each verification indicator by combining the indicator probability of each verification indicator and the number of enterprises of each enterprise.

[0189] (4)

[0190] in, is the information entropy of the jth verification indicator; n is the corresponding number of enterprises; information entropy represents the degree of chaos in a data source. The greater the degree of chaos, the greater the entropy, and vice versa.

[0191] In the embodiment of the present application, still taking the verification indicators in Table 1 as an example, the indicator information entropy of each verification indicator is calculated as .

[0192] S803, determining the quantitative value of the application conditions of each enterprise according to the indicator information entropy and the standardized indicator value of each verification indicator.

[0193] After determining the indicator information entropy of each verification indicator, the computer device can use a preset quantitative scoring strategy to combine the indicator information entropy of each verification indicator and the standardized indicator value to determine the quantitative value of the application conditions of each enterprise.

[0194] In the resource support application verification method provided in the embodiment of the present application, the indicator probability of each verification indicator is determined according to the standardized indicator value of each verification indicator and the sum of the standardized indicator values, and then the indicator information entropy of each verification indicator is determined according to the indicator probability of each verification indicator and the number of enterprises of each enterprise, and then the application condition quantitative value of each enterprise is determined according to the indicator information entropy and the standardized indicator value of each verification indicator. In this method, the indicator probability of each verification indicator is first calculated according to the standardized indicator value of each verification indicator, and then the indicator information entropy of each verification indicator is calculated according to the calculated indicator probability, which provides data support for determining the application condition quantitative value of each enterprise, and more objective data can be used to determine the verification results of each enterprise's resource support application, which improves the reliability and accuracy of the verification results.

[0195] Based on the above embodiment, an embodiment is provided to illustrate the process of determining the quantitative value of the application conditions of each enterprise based on the indicator information entropy and the standardized indicator value of each verification indicator.

[0196] In an exemplary embodiment, Fig. 9 As shown, according to the indicator information entropy and standardized indicator value of each verification indicator, the quantitative value of the application conditions of each enterprise is determined, including:

[0197] S901, determining the indicator weight of each verification indicator according to the indicator information entropy of each verification indicator.

[0198] When determining the quantitative value of the application conditions of each enterprise, the computer equipment first determines the indicator weight of each verification indicator based on the indicator information entropy of each verification indicator.

[0199] Exemplarily, the computer device may use the following formula (5) and the indicator information entropy of each verification indicator to determine the indicator weight of each verification indicator.

[0200] (5)

[0201] Among them, m is the number of indicators for verification indicators, is the indicator weight.

[0202] In the embodiment of the present application, still taking the verification indicators in Table 1 as an example, the indicator weights of the verification indicators calculated are .

[0203] S902, determining the optimal solution distance and the worst solution distance of each enterprise according to the indicator weight and the standardized indicator value of each verification indicator, as well as the maximum standardized indicator value and the minimum standardized indicator value.

[0204] Among them, the optimal solution distance refers to the gap between each verification indicator in the enterprise and the optimal ideal solution; the worst solution distance refers to the gap between each verification indicator in the enterprise and the worst ideal solution; the optimal ideal solution refers to the best value that each verification indicator can achieve, and the worst ideal solution refers to the worst value that each verification indicator can achieve.

[0205] Exemplarily, the computer device may use the following formulas (6) and (7) to calculate the optimal solution distance and the worst solution distance of each enterprise in combination with the indicator weight of each verification indicator.

[0206] (6)

[0207] (7)

[0208] in, is the maximum standardized index value, that is, the maximum value among all standardized index values; is the minimum standardized index value, that is, the minimum value among all standardized index values; is the optimal solution distance of the i-th enterprise; is the worst solution distance of the ith enterprise.

[0209] In the embodiment of the present application, still taking the verification indicators in Table 1 as an example, the calculated optimal solution distance and the worst solution distance of each enterprise are shown in Table 6 below.

[0210] Table 6 The optimal solution distance and the worst solution distance of each enterprise

[0211]

[0212] S903, determining the quantitative value of the application conditions of each enterprise according to the optimal solution distance and the worst solution distance of each enterprise.

[0213] After determining the optimal solution distance and the worst solution distance of each enterprise, the computer device can normalize the optimal solution distance and the worst solution distance of each enterprise to obtain the quantitative value of the application conditions of each enterprise.

[0214] For example, the computer device can use the following formula (8) to normalize the optimal solution distance and the worst solution distance of each enterprise to obtain the quantitative value of the application conditions of each enterprise.

[0215] (8)

[0216] in, is the quantitative value of the application conditions of the i-th enterprise.

[0217] In the embodiment of the present application, still taking the verification indicators in Table 1 as an example, the quantized values ​​of the application conditions obtained after normalization are 0.280, 0.629, 0.601 and 0.584 respectively.

[0218] In the resource support application verification method provided in the embodiment of the present application, the indicator weight of each verification indicator is determined according to the indicator information entropy of each verification indicator, and then the optimal solution distance and the worst solution distance of each enterprise are determined according to the indicator weight and the standardized indicator value of each verification indicator, as well as the maximum standardized indicator value and the minimum standardized indicator value, and finally the quantitative value of the application conditions of each enterprise is determined according to the optimal solution distance and the worst solution distance of each enterprise. In this method, the indicator weight of each verification indicator is first determined according to the indicator information entropy of each verification indicator, and the optimal solution distance and the worst solution distance of each enterprise can be calculated according to the indicator weight, and then the quantitative value of the application conditions of each enterprise is quickly determined according to the optimal solution distance and the worst solution distance of each enterprise, which is equivalent to quantitatively scoring each enterprise by measuring the distance between each verification indicator and the positive and negative ideal solutions in the enterprise, so as to obtain the quantitative value of the application conditions of each enterprise, and provide data support for determining the verification results of each enterprise's resource support application.

[0219] Based on any of the above embodiments, an embodiment is provided to illustrate the process of determining the verification result of each enterprise's application for resource support based on the quantitative information of each enterprise.

[0220] In an exemplary embodiment, Fig.10 As shown, based on the quantitative information of each enterprise, the verification results of each enterprise's resource support application are determined, including:

[0221] S1001, for any enterprise, if the application condition level of the enterprise is high, the application condition level and the application condition quantitative value of the enterprise are determined as the verification result of the enterprise's resource support application.

[0222] In the embodiment of the present application, the enterprise quantitative information of each enterprise includes the application condition level and the application condition quantitative value of each enterprise.

[0223] For any enterprise, when determining the verification result of the enterprise's application for resource support, the computer device determines the verification result of the enterprise's application for resource support based on the application condition level of the enterprise.

[0224] If the enterprise's application level is high, the enterprise's application condition level and application condition quantification value will be determined as the verification result of the enterprise's application for resource support, that is, the enterprise meets all application conditions for target resource support. The enterprise's application condition quantification value can be fed back to the relevant departments of target resource support to provide the relevant departments with a basis for issuing target resource support.

[0225] S1002: If the application condition level of the enterprise is low, the application condition level of the enterprise is determined as the verification result of the enterprise's application for resource support.

[0226] If the enterprise's application level is low, the enterprise's application condition level will be determined as the verification result of the enterprise's application for resource support, that is, if the enterprise does not meet the application conditions for the target resource support, the enterprise's application condition level will be directly fed back to the relevant departments. In this way, the relevant departments will determine that the enterprise does not meet the application conditions for the target resource support, and will not consider issuing resource support to it.

[0227] In the resource support application verification method provided in the embodiment of the present application, for any enterprise, if the enterprise's application condition level is a high level, the enterprise's application condition level and the application condition quantification value are determined as the verification result of the enterprise's resource support application, and if the enterprise's application condition level is a low level, the enterprise's application condition level is determined as the verification result of the enterprise's resource support application. In this method, when the enterprise's application condition level is a high level, the enterprise's application condition level and the application condition quantification value are determined as the verification result of the enterprise's resource support application, so that the relevant departments can be provided with a basis for the issuance of resource support, and when the enterprise's application condition level is a low level, the enterprise's application condition level is directly determined as the verification result of the enterprise's resource support application, providing an optional way to quickly determine the verification result.

[0228] Based on any of the above embodiments, an embodiment is provided to illustrate the process of obtaining the enterprise characteristic data of each enterprise.

[0229] In an exemplary embodiment, Fig.11 As shown, the enterprise characteristic data of each enterprise is obtained, including:

[0230] S1101, sending data acquisition requests to multiple third-party platforms; the data acquisition requests include corporate identification information of each enterprise.

[0231] The third-party platform may include but is not limited to the tax system, intellectual property management system, human resources system, etc. The enterprise identification information may include the enterprise name, enterprise logo, enterprise address, etc.

[0232] When obtaining the enterprise characteristic data of an enterprise, the computer device can obtain it from multiple third-party platforms, that is, it can send data requests to multiple third-party platforms, where the data acquisition request includes the enterprise identification information of each enterprise, so that the third-party platform can filter the relevant data of each enterprise based on the enterprise identification information of each enterprise.

[0233] S1102, receiving data sent by each third-party platform according to each enterprise identification information.

[0234] After receiving the data acquisition request sent by the computer device, each third-party platform filters out the data of each enterprise from the database according to the enterprise identification information of each enterprise carried in the data acquisition request, and sends it to the computer device. In this way, the computer device receives the data sent by each third-party platform according to the enterprise identification information.

[0235] S1103, determining the data sent by each third-party platform as the enterprise characteristic data of each enterprise.

[0236] After receiving the data sent by each third-party platform, the computer device determines the data sent by each third-party platform as the enterprise characteristic data of each enterprise.

[0237] In the resource support application verification method provided in the embodiment of the present application, a data acquisition request is sent to multiple third-party platforms, and the data acquisition request includes the enterprise identification information of each enterprise, and then the data sent by each third-party platform according to the enterprise identification information is received, and then the data sent by each third-party platform is determined as the enterprise characteristic data of each enterprise. In this method, by sending data acquisition requests to multiple third-party platforms, each third-party platform can feedback the data of each enterprise to the computer device based on the enterprise identification information of each enterprise carried in the data acquisition request. The feedback data is the enterprise characteristic data of each enterprise, which provides an optional way to quickly obtain enterprise characteristic data.

[0238] In addition, in an exemplary embodiment, the present application also provides an optional example of a resource support application verification method, such as Fig.12 As shown, the following steps may be included:

[0239] S1201, in response to verification requests from multiple enterprises for resource support applications, obtaining enterprise characteristic data of each enterprise.

[0240] S1202: Determine the correlation coefficient between multiple data items in the characteristic data of each enterprise according to the characteristic data of each enterprise.

[0241] S1203, determining key indicator data of each enterprise according to the correlation coefficient between multiple data items in the characteristic data of each enterprise.

[0242] S1204, performing feature processing on the key indicator data of each enterprise to obtain verification indicator data of each enterprise.

[0243] S1205, determining the application condition level of each enterprise based on the characteristic data of each enterprise and the application conditions supported by the target resources.

[0244] S1206: Determine the indicator probability of each verification indicator according to the standardized indicator value of each verification indicator and the sum of the standardized indicator values.

[0245] S1207, determining the indicator information entropy of each verification indicator according to the indicator probability of each verification indicator and the number of enterprises of each enterprise.

[0246] S1208, determining the quantitative value of the application conditions of each enterprise based on the indicator information entropy and the standardized indicator value of each verification indicator.

[0247] S1209: Determine the indicator weight of each verification indicator according to the indicator information entropy of each verification indicator.

[0248] S1210, determining the optimal solution distance and the worst solution distance of each enterprise according to the indicator weight and the standardized indicator value of each verification indicator, as well as the maximum standardized indicator value and the minimum standardized indicator value.

[0249] S1211, determining the quantitative value of the application conditions of each enterprise according to the optimal solution distance and the worst solution distance of each enterprise.

[0250] S1212, determining the enterprise quantitative information of each enterprise according to the application condition level of each enterprise and the application condition quantitative value of each enterprise.

[0251] S1213, determining the verification result of each enterprise's application for resource support based on the quantitative information of each enterprise.

[0252] The above-mentioned process of S1201-S1213 can refer to the description of the above-mentioned method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0253] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0254] Based on the same inventive concept, the embodiment of the present application also provides a resource support application verification device for implementing the resource support application verification method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more resource support application verification device embodiments provided below can refer to the limitations of the resource support application verification method above, and will not be repeated here.

[0255] In an exemplary embodiment, Fig.13 As shown, a resource support application verification device 1 is provided, comprising: a data acquisition module 10, a first determination module 20, a second determination module 30 and a third determination module 40, wherein:

[0256] The data acquisition module 10 is used to respond to the verification requests of multiple enterprises for resource support applications and acquire the enterprise characteristic data of each enterprise;

[0257] The first determination module 20 is used to process the characteristic data of each enterprise and determine the verification index data of each enterprise;

[0258] The second determination module 30 is used to determine the enterprise quantitative information of each enterprise for resource support application based on the characteristic data of each enterprise and the verification indicator data;

[0259] The third determination module 40 is used to determine the verification result of each enterprise's application for resource support based on the quantitative information of each enterprise.

[0260] In one embodiment, the first determining module 20 is further configured to:

[0261] Determine the correlation coefficient between multiple data items in the characteristic data of each enterprise according to the characteristic data of each enterprise;

[0262] Determine the key indicator data of each enterprise based on the correlation coefficient between multiple data items in the characteristic data of each enterprise;

[0263] Perform feature processing on the key indicator data of each enterprise to obtain the verification indicator data of each enterprise.

[0264] In one embodiment, the first determining module 20 is further configured to:

[0265] For any two data items, if the correlation coefficient between the two data items is greater than a preset coefficient threshold, one of the two data items is removed;

[0266] The remaining data item of the two data items is determined as the verification index of each enterprise, and the numerical value corresponding to the verification index is determined as the index value of the verification index;

[0267] The verification indicators of each enterprise and the indicator values ​​of the verification indicators are determined as the key indicator data of each enterprise.

[0268] In one embodiment, the first determining module 20 is further configured to:

[0269] Performing data scaling processing on the indicator value of each verification indicator to obtain the scaled indicator value of each verification indicator;

[0270] According to a preset indicator value threshold, a minimization indicator value in the scaling indicator value of each verification indicator is positively processed to obtain a positive indicator value of each verification indicator;

[0271] The positive index value of each verification index is standardized to obtain the standardized index value of each verification index, and the standardized index value of each verification index is determined as the verification index data of each enterprise.

[0272] In one embodiment, the second determining module 30 is further configured to:

[0273] Determine the application condition level of each enterprise based on the characteristic data of each enterprise and the application conditions supported by the target resources;

[0274] Determine the quantitative value of each enterprise's application conditions based on the data of each verification indicator;

[0275] The enterprise quantitative information of each enterprise is determined according to the application condition level of each enterprise and the quantitative value of the application conditions of each enterprise.

[0276] In one embodiment, the second determining module 30 is further configured to:

[0277] For any enterprise, the preset data comparison rules are used to compare the enterprise characteristic data with the application conditions;

[0278] If the enterprise's enterprise characteristic data all meet the application conditions, the enterprise's application condition level is determined to be high;

[0279] If one of the enterprise's characteristic data does not meet the application conditions, the enterprise's application condition level is determined to be low.

[0280] In one embodiment, the second determining module 30 is further configured to:

[0281] Determine the indicator probability of each verification indicator according to the standardized indicator value of each verification indicator and the sum of the standardized indicator values;

[0282] According to the indicator probability of each verification indicator and the number of enterprises of each enterprise, the indicator information entropy of each verification indicator is determined;

[0283] According to the indicator information entropy and standardized indicator value of each verification indicator, the quantitative value of the application conditions of each enterprise is determined.

[0284] In one embodiment, the second determining module 30 is further configured to:

[0285] According to the indicator information entropy of each verification indicator, the indicator weight of each verification indicator is determined; according to the indicator weight and standardized indicator value of each verification indicator, as well as the maximum standardized indicator value and the minimum standardized indicator value, the optimal solution distance and the worst solution distance of each enterprise are determined; according to the optimal solution distance and the worst solution distance of each enterprise, the quantitative value of the application conditions of each enterprise is determined.

[0286] In one embodiment, the third determining module 40 is further configured to:

[0287] For any enterprise, if the enterprise's application condition level is a high level, the enterprise's application condition level and the application condition quantitative value will be determined as the verification result of the enterprise's application for resource support; if the enterprise's application condition level is a low level, the enterprise's application condition level will be determined as the verification result of the enterprise's application for resource support.

[0288] In one embodiment, the data acquisition module 40 is further used for:

[0289] Sending data acquisition requests to multiple third-party platforms; the data acquisition requests include corporate identification information of each enterprise;

[0290] Receive data sent by each third-party platform based on each enterprise's identification information;

[0291] The data sent by each third-party platform is determined as the enterprise characteristic data of each enterprise.

[0292] Each module in the resource support application verification device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0293] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0294] In response to verification requests from multiple enterprises for resource support applications, obtain enterprise characteristic data of each enterprise;

[0295] Process the characteristic data of each enterprise and determine the verification index data of each enterprise;

[0296] Determine the quantitative information of each enterprise for resource support application based on the characteristic data of each enterprise and the verification indicator data;

[0297] Based on the quantitative information of each enterprise, the verification results of each enterprise's application for resource support are determined.

[0298] The implementation principles and technical effects of each step implemented by the processor in the embodiment of the present application are similar to the principles of the above-mentioned resource support application verification method, and will not be repeated here.

[0299] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0300] In response to verification requests from multiple enterprises for resource support applications, obtain enterprise characteristic data of each enterprise;

[0301] Process the characteristic data of each enterprise and determine the verification index data of each enterprise;

[0302] Determine the quantitative information of each enterprise for resource support application based on the characteristic data of each enterprise and the verification indicator data;

[0303] Based on the quantitative information of each enterprise, the verification results of each enterprise's application for resource support are determined.

[0304] The implementation principles and technical effects of the various steps implemented when the computer program in the embodiment of the present application is executed by the processor are similar to the principles of the above-mentioned resource support application verification method, and will not be repeated here.

[0305] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0306] In response to verification requests from multiple enterprises for resource support applications, obtain enterprise characteristic data of each enterprise;

[0307] Process the characteristic data of each enterprise and determine the verification index data of each enterprise;

[0308] Determine the quantitative information of each enterprise for resource support application based on the characteristic data of each enterprise and the verification indicator data;

[0309] Based on the quantitative information of each enterprise, the verification results of each enterprise's application for resource support are determined.

[0310] The implementation principles and technical effects of the various steps implemented when the computer program in the embodiment of the present application is executed by the processor are similar to the principles of the above-mentioned resource support application verification method, and will not be repeated here.

[0311] It should be noted that the personnel information (including but not limited to personnel equipment information, personnel personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the personnel or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0312] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0313] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0314] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A resource support application verification method, characterized in that: The method comprises: In response to verification requests from multiple enterprises for resource support applications, obtaining enterprise characteristic data of each of the enterprises; Processing the characteristic data of each enterprise to determine the verification index data of each enterprise; Determining the enterprise quantitative information of each of the enterprises applying for the resource support according to the characteristic data of each of the enterprises and the verification indicator data; Based on the quantitative information of each of the enterprises, the verification results of the resource support applications made by each of the enterprises are determined.

2. The method according to claim 1, characterized in that The processing of the characteristic data of each enterprise to obtain the verification index data of each enterprise includes: Determining, based on each of the enterprise characteristic data, a correlation coefficient between a plurality of data items in each of the enterprise characteristic data; Determining key indicator data of each of the enterprises according to correlation coefficients between multiple data items in the characteristic data of each of the enterprises; Feature processing is performed on the key indicator data of each of the enterprises to obtain verification indicator data of each of the enterprises.

3. The method according to claim 2, characterized in that Determining the key indicator data of each enterprise according to the correlation coefficient between the multiple data items in the characteristic data of each enterprise includes: For any two data items, if the correlation coefficient between the two data items is greater than a preset coefficient threshold, one of the two data items is removed; Determine the remaining data item of the two data items as the verification index of each of the enterprises, and determine the numerical value corresponding to the verification index as the index value of the verification index; The verification indicators of each of the enterprises and the indicator values ​​of the verification indicators are determined as key indicator data of each of the enterprises.

4. The method according to claim 3, characterized in that The feature processing of the key indicator data of each enterprise to obtain the verification indicator data of each enterprise includes: Performing data scaling processing on the indicator value of each verification indicator to obtain a scaled indicator value of each verification indicator; According to a preset indicator value threshold, a minimization indicator value in the scaling indicator value of each verification indicator is positively processed to obtain a positive indicator value of each verification indicator; The positive index value of each verification index is standardized to obtain a standardized index value of each verification index, and the standardized index value of each verification index is determined as the verification index data of each enterprise.

5. The method according to any one of claims 1 to 4, characterized in that: Determining the enterprise quantitative information of each enterprise applying for resource support based on each of the enterprise characteristic data and each of the verification indicator data includes: Determine the application condition level of each enterprise according to the characteristic data of each enterprise and the application conditions supported by the target resources; Determine the quantitative value of the application conditions of each enterprise according to the verification indicator data; The enterprise quantitative information of each of the enterprises is determined according to the application condition level of each of the enterprises and the application condition quantitative value of each of the enterprises.

6. The method according to claim 5, characterized in that Determining the application condition level of each enterprise according to the characteristic data of each enterprise and the application conditions supported by the target resources includes: For any enterprise, the enterprise characteristic data of the enterprise is compared with the application conditions using the preset data comparison rules; If the enterprise characteristic data of the enterprise all meet the application conditions, then the application condition level of the enterprise is determined to be high; If there is one piece of data in the enterprise characteristic data of the enterprise that does not meet the application condition, it is determined that the application condition level of the enterprise is a low level.

7. The method according to claim 5, characterized in that The verification indicator data of each enterprise includes standardized indicator values ​​of multiple verification indicators of each enterprise; the step of determining the quantitative value of the application conditions of each enterprise according to the verification indicator data includes: Determining the indicator probability of each of the verification indicators according to the standardized indicator value of each of the verification indicators and the sum of the standardized indicator values; Determining the indicator information entropy of each of the verification indicators according to the indicator probability of each of the verification indicators and the number of enterprises of each of the enterprises; According to the indicator information entropy and the standardized indicator value of each of the verification indicators, the quantitative value of the application conditions of each of the enterprises is determined.

8. The method according to claim 7, characterized in that Determining the quantitative value of the application conditions of each enterprise according to the indicator information entropy and the standardized indicator value of each verification indicator includes: Determining an indicator weight of each verification indicator according to the indicator information entropy of each verification indicator; Determine the optimal solution distance and the worst solution distance of each enterprise according to the indicator weight and the standardized indicator value of each verification indicator, as well as the maximum standardized indicator value and the minimum standardized indicator value; According to the optimal solution distance and the worst solution distance of each of the enterprises, the quantitative value of the application conditions of each of the enterprises is determined.

9. The method according to any one of claims 1 to 4, characterized in that: The enterprise quantitative information of each of the enterprises includes the application condition level and the application condition quantitative value of each of the enterprises; Determining the verification result of each enterprise's application for resource support based on the quantitative information of each enterprise includes: For any enterprise, if the application condition level of the enterprise is high, the application condition level and the application condition quantitative value of the enterprise are determined as the verification result of the resource support application of the enterprise; If the application condition level of the enterprise is low, the application condition level of the enterprise is determined as the verification result of the enterprise's application for resource support.

10. The method according to any one of claims 1 to 4, characterized in that: The obtaining of enterprise characteristic data of each enterprise includes: Sending data acquisition requests to multiple third-party platforms; the data acquisition requests include corporate identification information of each of the companies; Receiving data sent by each of the third-party platforms according to each of the enterprise identification information; The data sent by each of the third-party platforms is determined as the enterprise characteristic data of each of the enterprises.

11. A resource support application verification device, characterized in that: The device comprises: A data acquisition module, for responding to verification requests from multiple enterprises for resource support applications, and acquiring enterprise characteristic data of each of the enterprises; A first determination module is used to process the characteristic data of each enterprise and determine the verification index data of each enterprise; A second determination module is used to determine the enterprise quantitative information of each enterprise for applying for the resource support according to each of the enterprise characteristic data and each of the verification indicator data; The third determination module is used to determine the verification result of the resource support application of each of the enterprises according to the quantitative information of each of the enterprises.

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