A construction enterprise tax risk assessment method based on feature space
By using a feature space-based method for assessing tax risks in construction and installation enterprises, a set of change records is generated, virtual roles are created to simulate tax behavior, and a taxpayer influence relationship network is constructed. This solves the problem that existing systems cannot predict tax risks and achieves efficient risk assessment and early warning.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DEPPSHEN (XIAMEN) DATA TECH CO LTD
- Filing Date
- 2022-01-19
- Publication Date
- 2026-04-24
AI Technical Summary
Existing tax risk assessment systems are unable to predict potential risks based on minute changes in tax data, and they consume a significant amount of time and resources to determine corporate tax evasion.
By using a feature space-based tax risk assessment method for construction and installation enterprises, a set of change records is generated, virtual characters are created to simulate the enterprise's tax behavior in a simulated environment, assessment information is extracted and potential risk nodes are identified, a taxpayer influence relationship network is constructed, the risk level is assessed and early warnings are provided.
It enables efficient assessment of corporate tax risks, identifies potential risk points, improves risk levels, provides accurate tax risk warnings for enterprises, and ensures normal operation.
Smart Images

Figure CN116502883B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of risk assessment technology, specifically a method for assessing tax risks of construction and installation enterprises based on feature space. Background Technology
[0002] In the field of tax risk assessment, while existing tax risk assessment systems can assess tax risks, they also have many problems. These systems lack a data application platform. The internal and external information collected by tax authorities is insufficient for aggregation and systematic classification, failing to meet the data matching requirements in the assessment process, resulting in an incomplete assessment.
[0003] Currently, many enterprises engage in tax evasion (or simply tax avoidance). Determining whether an enterprise is evading taxes often requires significant time, manpower, and resources, and even then, accurate assessment is frequently impossible. An existing risk assessment system for SMEs (publication number CN105787793A) includes a collector, a historical database, a data extraction module, a historical basic data storage module, a historical result data storage module, a data acquisition module, a reliability judgment module, a risk calculation module, a historical assessment result comprehensive calculation module, and an assessment report generation module. The reliability judgment module is electrically connected to the data acquisition module, the historical database to the collector, the first data extraction module to the historical database, and the risk calculation module to the reliability judgment module and the historical basic data storage module. However, this system cannot predict potential risks based on minute changes in tax data. Therefore, we propose a feature space-based method for assessing tax risks for construction and installation enterprises. Summary of the Invention
[0004] The purpose of this invention is to provide a method for assessing tax risks of construction and installation enterprises based on feature space, so as to solve the problem that current systems cannot predict the occurrence of potential risks based on small changes in tax data.
[0005] To achieve the above objectives, the present invention provides the following technical solution:
[0006] A method for assessing the tax risk of construction and installation enterprises based on feature space, the method comprising:
[0007] Generate a set of change records based on the set of database operation records;
[0008] Virtual characters are created based on the target company's preferences. These virtual characters are displayed in a simulation display area, and a virtual environment is synthesized in the evaluation display area. The user company's tax behavior is simulated in the synthesized virtual environment to obtain tax risks.
[0009] Extract the evaluation request, and enable the virtual character to output evaluation information and evaluation results in the virtual environment;
[0010] The step of extracting the evaluation request and enabling the virtual character to output evaluation information and evaluation results in the virtual environment specifically includes:
[0011] Reverse read the set of database operation records of the test database between the initial time point and the target time point to which it is to be restored. When it is determined that there is a database operation record to be read in the set of database operation records, obtain the unique identifier in the database operation record and the reverse image of the operation corresponding to the unique identifier.
[0012] When the unique identifier is not found in the last change record set, the corresponding unique identifier and all value information after the operation are written into the last change record set based on the unique identifier and the subsequent mirror image.
[0013] Furthermore, the step of creating virtual characters based on the target enterprise's preferences specifically includes:
[0014] Using a set of change records as input, the virtual environment model identifies user login information and target input fields within the set of change records.
[0015] The virtual environment model is executed using user login information and target input fields as input.
[0016] At least one virtual environment is formed based on the virtual environment model, a target image containing the target enterprise is obtained from the enterprise's field of view, and the target image is synchronously displayed on the user's display terminal.
[0017] Furthermore, the specific steps for creating the virtual environment model are as follows:
[0018] Import virtual environment template;
[0019] The virtual environment plugin is invoked, and the virtual environment template is read to convert the virtual environment plugin into an executable program to create a standard virtual environment model;
[0020] Adjust the standard virtual environment model, use standard data as input, and perform multiple training runs of the standard virtual environment model. After multiple training runs, the virtual environment model is obtained.
[0021] Furthermore, the steps of extracting the evaluation request and enabling the virtual character to output evaluation information and evaluation results in the virtual environment specifically include:
[0022] Reverse read the set of database operation records of the test database between the initial time point and the target time point to which it is to be restored. When it is determined that there is a database operation record to be read in the set of database operation records, obtain the unique identifier in the database operation record and the reverse image of the operation corresponding to the unique identifier.
[0023] When the unique identifier is not found in the last change record set, the corresponding unique identifier and all value information after the operation are written into the last change record set based on the unique identifier and the subsequent mirror image.
[0024] Furthermore, the present invention also includes:
[0025] Acquire output evaluation information, monitor output evaluation information, analyze monitoring data generated by monitoring sub-nodes, and compare the analysis results with pre-set potential risk warning rules;
[0026] If the comparison results trigger potential risk rules, the potential risk sub-nodes are identified, thereby improving the risk level of the user enterprise.
[0027] Furthermore, specific steps to improve the risk level of user enterprises include:
[0028] Obtain the risk level of the user company, and use the corresponding risk level as input to execute the risk level prediction report model;
[0029] Obtain a risk level assessment report and determine the risk weights for each virtual character based on the risk level assessment report;
[0030] The impact of various risk weights on the tax risks of construction and installation enterprises is assessed, and the parameters of the virtual environment model are modified based on virtual roles.
[0031] Furthermore, it also includes generating tax risks for construction and installation enterprises, which include:
[0032] Building a network of taxpayer influence relationships;
[0033] Based on the taxpayer influence network, the taxpayer influence network is obtained by examining the relationships between related natural persons and enterprises and the transaction behavior between enterprises.
[0034] The taxpayer influence network is obtained based on the relationship between related natural persons and enterprises and the tax relationship of enterprises.
[0035] Furthermore, a taxpayer influence network is constructed based on the relationships between related natural persons and enterprises and the economic behavior between enterprises, representing the investment relationships, holding relationships, transaction relationships and board interlocking relationships between enterprises.
[0036] Furthermore, the various risk weights of the virtual role are determined by ranking all users and tax behaviors in the user relationship network to obtain a user credit risk ranking queue based on the impact of adverse credit events, and the various risk weights of the virtual role are evaluated.
[0037] Furthermore, the aforementioned tax risks for construction and installation enterprises also include:
[0038] Based on the enterprise tax database, the true tax relationship of enterprises is obtained by taking the relationships and tax relationships of related enterprises as inputs. Attached Figure Description
[0039] Figure 1 This is a schematic diagram illustrating the implementation process of the feature space-based tax risk assessment method for construction and installation enterprises provided in this embodiment of the invention.
[0040] Figure 2 This is a schematic diagram of the implementation process for creating virtual characters based on the preferences of a target enterprise, provided in an embodiment of the present invention.
[0041] Figure 3 This is a schematic diagram illustrating the implementation process of creating a virtual environment model provided in an embodiment of the present invention.
[0042] Figure 4 This is a schematic diagram illustrating the process of extracting the evaluation request, enabling the virtual character to output evaluation information in the virtual environment, and the evaluation effect, provided for an embodiment of the present invention.
[0043] Figure 5 This is a schematic diagram illustrating the process of improving the risk level of a user enterprise, as provided in an embodiment of the present invention.
[0044] Figure 6 This is a schematic diagram illustrating the process of generating tax risks for construction and installation enterprises, as provided in an embodiment of the present invention. Detailed Implementation
[0045] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0046] Currently, many enterprises engage in tax evasion (or simply tax avoidance). Determining whether an enterprise is evading taxes often requires significant time, manpower, and resources, and even then, accurate assessment is frequently impossible. Furthermore, existing prediction systems cannot predict potential risks based on minute changes in tax data. Therefore, we propose a feature space-based method for assessing tax risks in the construction and installation industry. In this embodiment, a set of change records is generated based on a database operation record set. Simultaneously, a virtual character is created based on the target enterprise's preferences. This virtual character is displayed in a simulated display area, and a virtual environment is synthesized in the assessment display area. The user enterprise's tax behavior is simulated in the synthesized virtual environment to obtain tax risks. Finally, the assessment request is extracted, and the virtual character outputs assessment information and the assessment results in the virtual environment.
[0047] The embodiments of the present invention can extract the evaluation request so that the virtual character outputs evaluation information and the evaluation effect in the virtual environment, while identifying potential risk sub-nodes, improving the risk level of user enterprises, providing early warning of tax risks for enterprises, and ensuring the normal operation of enterprises.
[0048] like Figure 1 As shown, an embodiment of the present invention provides a method for assessing the tax risk of construction and installation enterprises based on feature space. The method includes:
[0049] Step S1: Generate a set of change records based on the set of database operation records;
[0050] Step S2: Create a virtual character based on the target enterprise's preferences, display the virtual character in the simulation display area, and synthesize a virtual environment in the evaluation display area. Simulate the user enterprise's tax behavior in the synthesized virtual environment to obtain tax risks.
[0051] Step S3: Extract the evaluation request, and enable the virtual character to output evaluation information and evaluation results in the virtual environment.
[0052] An embodiment of the present invention also provides a method for implementing the creation of virtual characters based on target enterprise preferences, such as... Figure 2 As shown, the steps for creating virtual characters based on target enterprise preferences specifically include:
[0053] Step S201: Using the set of change records as input, the virtual environment model identifies the user login information and target input domain in the set of change records.
[0054] For example, the change record set is specifically input in terms of year, quarter, and month as basic units. It statistically analyzes corporate tax statistics for different time intervals. Based on the data processing system, it uses MATLAB curve fitting to filter and remove noisy and irrelevant data from the corporate tax statistics, and counts tax omissions and cleans dirty data and missing values. At the same time, it uses the tax data analysis tools provided in the MATLAB curve fitting program to perform smoothing processing using the cftool program. Then, it fits the tax data for each year, quarter, and month, filters the data, and performs post-processing work such as difference, extrapolation, difference, and integration after fitting.
[0055] Step S202: Using user login information and target input fields as input, execute the virtual environment model.
[0056] In this embodiment, user login information includes verification information, which is not limited to the user's dynamic commands, fixed command passwords, facial features, eye features, and fingerprint information. The user inputs the verification information through a self-service terminal. In this embodiment, the self-service terminal includes, but is not limited to, smartphones, tablets, desktop computers, self-service platforms, or interactive web login interfaces.
[0057] Step S203: Based on the virtual environment model, at least one virtual environment is formed, a target image containing the target enterprise is obtained from the enterprise's field of view, and the target image is synchronously displayed on the user's display terminal.
[0058] In this embodiment, the virtual environment not only includes the target enterprise's target impact, but also simulates socio-economic parameters, social development index, enterprise operating reports, enterprise transactions, and enterprise tax data. By simulating tax risks for the target enterprise in the virtual environment, the enterprise's tax risk level can be inferred.
[0059] Specifically, in this embodiment, when the virtual environment is working, 1, 2...n virtual tax environments are generated respectively. The first observation position of the first virtual tax environment is centered on the new enterprise. The parameters of the first virtual tax environment to the Nth virtual tax environment are increased sequentially, and the observation position is continuously changed. Then, taking the virtual tax environment as a rectangular screen as an example, the intersection of the diagonals of the rectangle in the virtual environment is the observation center, so that the target image is synchronously displayed on the user's display terminal.
[0060] An embodiment of the present invention also provides the virtual environment model creation steps, such as... Figure 3 As shown, the virtual environment model creation steps include:
[0061] Step S301: Import the virtual environment template.
[0062] In this embodiment, the virtual environment template includes, but is not limited to, text templates, video templates, and audio templates. Upon receiving the user-inputted parameters for the virtual environment, a tax virtual environment corresponding to the enterprise's tax environment is created based on a preset standard virtual environment template. The tax data is then transmitted to the tax virtual environment, and the tax virtual environment is controlled to run the tax data. Simultaneously, while the tax data is running based on the tax virtual environment, the tax virtual environment is monitored, including potential risks arising from interactions between the tax virtual environment and the lower-level machine, as well as the running data of the tax data.
[0063] Step S302: Invoke the virtual environment plugin, read the virtual environment template, and convert the virtual environment plugin into an executable program to create a standard virtual environment model.
[0064] For example, the virtual environment plugin is uploaded according to the actual business and the plugin development specifications. At the same time, when the virtual environment plugin is called, it matches and calls the plugin service interface, and the plugin service interface includes, but is not limited to, parsing the interface.
[0065] Step S303: Adjust the standard virtual environment model. Using standard data as input, perform multiple training sessions on the standard virtual environment model. After multiple training sessions, the virtual environment model is obtained.
[0066] For example, in this embodiment, training employs multiple training hosts. During operation, the first training host collaborates with other training hosts to obtain multiple sets of pseudo-random number seeds. Simultaneously, in each training process, the first training host can randomize the standard data set based on these pseudo-random number seeds to obtain an updated set of filenames, and then train the first data subset based on the updated labeled data set. Specifically, sending the standard data set from a designated training host to other training hosts reduces the bandwidth consumed by data training, lowers the load on the training system, and improves the accuracy of the data training system.
[0067] An embodiment of the present invention also provides a step of extracting the evaluation request so that the virtual character outputs evaluation information and the evaluation effect in the virtual environment, such as... Figure 4 As shown, the steps for extracting the evaluation request, enabling the virtual character to output evaluation information and the evaluation effect in the virtual environment include:
[0068] Step S401: Reverse read the set of database operation records of the test database between the initial time point and the target time point to which it is to be restored. When it is determined that there is a database operation record to be read in the set of database operation records, obtain the unique identifier in the database operation record and the reverse image of the operation corresponding to the unique identifier.
[0069] Step S402: When the unique identifier does not exist in the last change record set, write the corresponding unique identifier and all value information after the operation occurs into the last change record set according to the unique identifier and the subsequent mirror image.
[0070] An embodiment of the present invention also provides a method for assessing the tax risk of construction and installation enterprises based on feature space, such as... Figure 1 As shown, the feature space-based tax risk assessment method for construction and installation enterprises also includes:
[0071] Step S4: Obtain output evaluation information, monitor the output evaluation information, analyze the monitoring data generated by the monitoring sub-nodes, and compare the analysis results with the pre-set potential risk warning rules.
[0072] Step S5: Obtain the comparison results. If the comparison results trigger potential risk rules, identify potential risk sub-nodes and improve the risk level of the user enterprise.
[0073] An embodiment of the present invention also provides a specific method for improving the risk level of a user enterprise, such as... Figure 5 As shown, the specific measures to improve the risk level of user enterprises include:
[0074] Step S501: Obtain the risk level of the user company, and use the corresponding risk level as input to execute the risk level prediction report model.
[0075] Step S502: Obtain the risk level prediction report and determine the risk weights of the virtual character based on the risk level prediction report.
[0076] Step S503: Assess the impact of various risk weights on the tax risk of construction and installation enterprises, and modify the parameters of the virtual environment model based on the virtual role.
[0077] An embodiment of the present invention also provides a method for assessing the tax risk of construction and installation enterprises based on feature space, such as... Figure 6 As shown, the feature space-based tax risk assessment method for construction and installation enterprises further includes generating tax risks for construction and installation enterprises, which include:
[0078] Step S101: Construct a taxpayer influence relationship network.
[0079] For example, constructing a taxpayer influence network includes, but is not limited to, the company's internal employees, employees of the company's controlling shareholders, employees of the company's controlled subsidiaries, corresponding internal employees of the company, employees of the company's controlling shareholders, relatives of employees of the company's controlled subsidiaries, and corresponding companies, entities, and individuals who have transactions with the company.
[0080] By building a taxpayer influence network, we can obtain corporate tax information to the greatest extent, avoid corporate tax risks, and reduce corporate tax evasion and avoidance.
[0081] Step S102: Based on the taxpayer influence relationship network, obtain the taxpayer influence relationship network based on the relationship between related natural persons and enterprises and the transaction behavior between enterprises;
[0082] Step S103: Obtain the taxpayer influence relationship network based on the relationship between related natural persons and enterprises and the tax relationship of enterprises;
[0083] Step S104: Based on the enterprise tax database, using the relationship and the enterprise's tax relationship as input, obtain the enterprise's true tax relationship.
[0084] In this embodiment, the taxpayer influence relationship network is constructed based on the relationship between related natural persons and enterprises and the economic behavior between enterprises, representing the investment relationship, holding relationship, transaction relationship and board interlock relationship between enterprises.
[0085] In this embodiment, the various risk weights of the virtual character are determined by ranking all users and tax behaviors in the user relationship network to obtain a user credit risk ranking queue based on the impact of adverse credit events, and the various risk weights of the virtual character are evaluated.
[0086] This invention generates a set of change records based on a set of database operation records; simultaneously, it creates a virtual character based on the target enterprise's preferences, displays the virtual character in a simulated display area, and synthesizes a virtual environment in the evaluation display area. In this synthesized virtual environment, it simulates the user enterprise's tax behavior to obtain tax risks; finally, it extracts the evaluation request, causing the virtual character to output evaluation information and the evaluation results in the virtual environment.
[0087] The embodiments of the present invention can extract the evaluation request so that the virtual character outputs evaluation information and the evaluation effect in the virtual environment, while identifying potential risk sub-nodes, improving the risk level of user enterprises, providing early warning of tax risks for enterprises, and ensuring the normal operation of enterprises.
[0088] This invention also provides a readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the feature space-based tax risk assessment method for construction and installation enterprises.
[0089] For example, a computer program can be divided into one or more modules, one or more of which are stored in memory and executed by a processor to perform the present invention. One or more modules can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in a terminal device. For example, the aforementioned computer program can be divided into units or modules of the berth status display system provided in the various system embodiments described above.
[0090] Those skilled in the art will understand that the above description of the terminal device is merely an example and does not constitute a limitation on the terminal device. It may include more or fewer components than described above, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.
[0091] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. This processor is the control center of the terminal device, connecting various parts of the user terminal via various interfaces and lines.
[0092] The aforementioned memory can be used to store computer programs and / or modules. The aforementioned processor implements various functions of the aforementioned terminal device by running or executing the computer programs and / or modules stored in the memory, and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as information collection template display function, product information publishing function, etc.); the data storage area may store data created based on the use of the berth status display system (such as product information collection templates corresponding to different product types, product information that different product providers need to publish, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.
[0093] If the modules / units integrated into the terminal device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the modules / units in the systems of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the functions of the various system embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.
[0094] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0095] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.
Claims
1. A method for assessing tax risk of construction and installation enterprises based on feature space, characterized in that, The feature space-based tax risk assessment method for construction and installation enterprises includes: Generate a set of change records based on the set of database operation records; Virtual characters are created based on the target company's preferences. These virtual characters are displayed in the simulation display area, and a virtual environment is synthesized in the evaluation display area. The user company's tax behavior is simulated in the synthesized virtual environment to obtain tax risks. Extract the evaluation request, and enable the virtual character to output evaluation information and evaluation results in the virtual environment; The step of extracting the evaluation request and enabling the virtual character to output evaluation information and evaluation results in the virtual environment specifically includes: Reverse read the set of database operation records of the test database between the initial time point and the target time point to which it is to be restored. When it is determined that there is a database operation record to be read in the set of database operation records, obtain the unique identifier in the database operation record and the reverse image of the operation corresponding to the unique identifier. When the unique identifier is not found in the last change record set, the corresponding unique identifier and all value information after the operation are written into the last change record set based on the unique identifier and the subsequent mirror image.
2. The method for assessing the tax risk of construction and installation enterprises based on feature space according to claim 1, characterized in that, The steps for creating virtual characters based on target enterprise preferences specifically include: Using a set of change records as input, the virtual environment model identifies user login information and target input fields within the set of change records. The virtual environment model is executed using user login information and target input fields as input. At least one virtual environment is formed based on the virtual environment model, a target image containing the target enterprise is obtained from the enterprise's field of view, and the target image is synchronously displayed on the user's display terminal.
3. The method for assessing the tax risk of construction and installation enterprises based on feature space according to claim 2, characterized in that, The specific steps for creating the virtual environment model are as follows: Import virtual environment template; The virtual environment plugin is invoked, and the virtual environment template is read to convert the virtual environment plugin into an executable program to create a standard virtual environment model; Adjust the standard virtual environment model, use standard data as input, and perform multiple training runs of the standard virtual environment model. After multiple training runs, the virtual environment model is obtained.
4. The method for assessing the tax risk of construction and installation enterprises based on feature space according to claim 1, characterized in that, Also includes: Acquire output evaluation information, monitor output evaluation information, analyze monitoring data generated by monitoring sub-nodes, and compare the analysis results with pre-set potential risk warning rules; If the comparison results trigger potential risk rules, the potential risk sub-nodes are identified, thereby improving the risk level of the user enterprise.
5. The method for assessing the tax risk of construction and installation enterprises based on feature space according to claim 4, characterized in that, The specific steps to improve the risk level of user enterprises include: Obtain the risk level of the user company, and use the corresponding risk level as input to execute the risk level prediction report model; Obtain a risk level assessment report and determine the risk weights for each virtual character based on the risk level assessment report; The impact of various risk weights on the tax risks of construction and installation enterprises is assessed, and the parameters of the virtual environment model are modified based on virtual roles.
6. The method for assessing the tax risk of construction and installation enterprises based on feature space according to claim 4, characterized in that, This also includes generating tax risks for construction and installation enterprises, which include: Construct a network of taxpayer influence relationships; Based on the taxpayer influence network, the taxpayer influence network is obtained by examining the relationships between related natural persons and enterprises and the transaction behavior between enterprises. The taxpayer influence network is obtained based on the relationship between related natural persons and enterprises and the tax relationship of enterprises.
7. The method for assessing the tax risk of construction and installation enterprises based on feature space according to claim 6, characterized in that, The taxpayer influence network is constructed based on the relationship between related natural persons and enterprises and the economic behavior between enterprises, representing the investment relationship, holding relationship, transaction relationship and board lock-in relationship between enterprises.
8. The method for assessing the tax risk of construction and installation enterprises based on feature space according to claim 7, characterized in that, The risk weights of the virtual role are determined by ranking all users in the user's relationship network and their tax behavior, resulting in a user credit risk ranking queue based on the impact of adverse credit events, and thus assessing the various risk weights of the virtual role.
9. The method for assessing the tax risk of construction and installation enterprises based on feature space according to claim 6, characterized in that, The aforementioned tax risks for construction and installation enterprises also include: Based on the enterprise tax database, the true tax relationship of enterprises is obtained by taking the relationships and tax relationships of related enterprises as inputs.
Citation Information
Patent Citations
Small and medium-sized enterprise risk assessment system
CN105787793A
Contingent payments for virtual currencies
US20210383334A1
Non-determinative risk simulation
US7747494B1