Enterprise management examination evaluation method and system

Abstract

The invention provides an enterprise management assessment evaluation method and system. The method comprises the steps of obtaining report data, performing filtering processing on the report data, generating a completion score corresponding to a rating index, generating a completion rating based on the completion score, determining an initial comprehensive score, and determining an initial comprehensive rating through the initial comprehensive score; obtaining a comprehensive information entropy based on the first type of the initial comprehensive rating and the number of employees; different rating indexes are designated as main indexes, and index information entropies of the main indexes are acquired based on a second type of finished rating corresponding to the main indexes; and determining a plurality of gain values based on the comprehensive information entropy and the index information entropy, determining the rating proportion of the rating indexes through the gain values to generate a final comprehensive score, and obtaining a final comprehensive rating. The relevance strength between different rating indexes and the overall evaluation result is determined through the gain value, and different proportions are distributed, so that the overall evaluation of the employees is more accurate, and the fairness of the enterprise management assessment evaluation is ensured.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to an enterprise management assessment and evaluation method and system. Background Art

[0003] Enterprise management assessment is an assessment method for the personnel under the enterprise. It uses the assessment methods outlined in the quantitative performance assessment theory to assess the work behavior, work efficiency and work performance of the relevant employees in the enterprise. Its purpose is to rigorously evaluate the comprehensive display of all work status and results of the personnel under its jurisdiction within a period of time through the management assessment formulated by the enterprise.

[0004] Enterprise management assessment and evaluation generally involves multiple evaluation indicators, which are summarized to complete the overall evaluation of employees' work situation. However, when summarizing multiple evaluation indicators, it is usually just a simple accumulation or average processing of the evaluation values ​​of multiple evaluation indicators, and the correlation between different evaluation indicators and employees' work situation is not considered, resulting in inaccurate overall evaluation of employees, affecting the fairness of enterprise management assessment and evaluation. Summary of the invention

[0005] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a method and system for enterprise management assessment and evaluation, aiming to solve the technical problem that the prior art uses accumulation or average processing of evaluation values ​​of multiple evaluation indicators to make an overall evaluation of the employee's work situation, without considering the strength of the correlation between different evaluation indicators and the employee's work situation, resulting in inaccurate overall evaluation of the employees and affecting the fairness of enterprise management assessment and evaluation.

[0006] In order to achieve the above objectives, in a first aspect, an embodiment of the present application provides an enterprise management assessment and evaluation method, comprising the following steps:

[0007] Acquire report data related to the employee's work situation, filter the report data to generate a number of completion scores corresponding to a number of rating indicators, generate a completion rating based on the completion scores, determine an initial comprehensive score based on the number of completion scores, and generate an initial comprehensive rating corresponding to the initial comprehensive score;

[0008] Obtaining a comprehensive information entropy of the initial comprehensive rating based on the first category of the initial comprehensive rating and the number of employees;

[0009] designating different rating indicators as main indicators respectively, and obtaining indicator information entropy of the main indicators based on the second type of the completed rating corresponding to the main indicators;

[0010] Based on the comprehensive information entropy and the indicator information entropy, the gain values ​​of the different rating indicators are determined, the rating weight of the rating indicator is determined through the gain value, the final comprehensive score is determined based on the rating weight and the completion score, and the final comprehensive rating is obtained through the final comprehensive score.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: by performing the filtering process on the report data, data items in the report data that are not related to the rating indicators can be removed, thereby improving the efficiency of obtaining the final comprehensive rating; by obtaining the completed score and generating the initial comprehensive rating, the initial evaluation of the employee's work situation is completed, and based on the gain value between the indicator information entropy and the comprehensive information entropy, the strength of the correlation between different rating indicators and the overall evaluation results of the employee can be clarified, and then based on the difference between the gain values, the proportion of the completed score under different rating indicators is allocated according to the strength of the correlation between different rating indicators and the employee's work situation, thereby obtaining the final comprehensive rating, and more accurately evaluating the employees as a whole, ensuring the fairness of enterprise management assessment and evaluation.

[0012] Furthermore, the step of filtering the report data to generate a number of completion scores corresponding to a number of rating indicators comprises:

[0013] Constructing a number of rating indicators and rating thresholds corresponding to the rating indicators based on the employee's work situation, generating a number of keywords corresponding to the number of rating indicators, and obtaining an identification ID corresponding to the employee;

[0014] A plurality of associated data are extracted from the report data based on the identification ID and the plurality of keywords, and the associated data are compared with the rating threshold to obtain a plurality of completion scores corresponding to the plurality of rating indicators.

[0015] Furthermore, the calculation formula of the comprehensive information entropy is:

[0016]

[0017] Among them, S z represents the comprehensive information entropy, N i represents the number of initial comprehensive ratings of the i-th first category, N j represents the number of initial comprehensive ratings of the jth first category, and i, j∈j 1 , j 1 represents the first category of the initial comprehensive rating, Y represents the number of employees, log 2 (·) represents a logarithmic function.

[0018] Furthermore, the step of obtaining the indicator information entropy of the main indicator based on the second type of the completion rating corresponding to the main indicator includes:

[0019] Acquire a second category of the completed rating corresponding to the main indicator, and acquire a first number of the first category of the initial comprehensive rating corresponding to different second categories;

[0020] Acquire second quantities corresponding to different second categories, and determine different single information entropies of the second categories based on the first quantity and the second quantity;

[0021] The indicator information entropy of the main indicator is obtained through the single information entropy.

[0022] Furthermore, the calculation formula of the single information entropy is:

[0023]

[0024] Among them, S dk represents the single information entropy of the completed rating of the kth second category when the dth rating indicator is the main indicator, O k represents the second number of completed ratings of the kth second category, N a represents the first number of initial comprehensive ratings of the ath first category in the kth second category completed ratings, N b represents the first number of initial comprehensive ratings of the bth first category in the kth second category completed ratings, and a, b∈j 1 , j 1 Represents the first category collection of initial comprehensive ratings, log 2 (·) indicates logarithmic function;

[0025] The calculation formula of the indicator information entropy is:

[0026]

[0027] Among them, S d represents the indicator information entropy when the d-th rating indicator is the main indicator, O l represents the second number of completed ratings of the lth second category, Y represents the number of employees, S dl represents the single information entropy of the completed rating of the lth second category when the dth rating indicator is the main indicator, and k, l∈j 2 , j 2 A second type of collection representing completed ratings.

[0028] Furthermore, the calculation formula of the gain value is:

[0029] Z d =Sz -S dk ,

[0030] Among them, Z d represents the gain value of the dth rating indicator, S z represents the comprehensive information entropy, S d It represents the indicator information entropy when the d-th rating indicator is the main indicator.

[0031] Furthermore, the step of determining the final comprehensive score based on the rating weight and the completed score includes:

[0032] Determine the final score of the rating indicator by using the rating weight level and the completion score;

[0033] The final scores of the different rating indicators are superimposed to obtain a final comprehensive score.

[0034] In a second aspect, an embodiment of the present application provides an enterprise management assessment and evaluation system, which is applied to the enterprise management assessment and evaluation method as described in the first aspect above, and the system includes:

[0035] A first evaluation module is used to obtain report data related to the work status of the employee, filter the report data to generate a number of completion scores corresponding to a number of rating indicators, generate a completion rating based on the completion scores, determine an initial comprehensive score based on the number of completion scores, and generate an initial comprehensive rating corresponding to the initial comprehensive score;

[0036] A first analysis module, configured to obtain a comprehensive information entropy of the initial comprehensive rating based on the first category of the initial comprehensive rating and the number of employees;

[0037] A second analysis module is used to designate different rating indicators as main indicators respectively, and obtain the indicator information entropy of the main indicator based on the second type of the completed rating corresponding to the main indicator;

[0038] The second evaluation module is used to determine the gain values ​​of different rating indicators based on the comprehensive information entropy and the indicator information entropy, determine the rating weight of the rating indicator through the gain value, determine the final comprehensive score based on the rating weight and the completion score, and obtain the final comprehensive rating through the final comprehensive score.

[0039] In a third aspect, an embodiment of the present application provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the enterprise management assessment and evaluation method as described in the first aspect above is implemented.

[0040] In a fourth aspect, an embodiment of the present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the enterprise management assessment and evaluation method described in the first aspect above is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flow chart of the enterprise management assessment and evaluation method in the first embodiment of the present invention;

[0042] Figure 2 It is a structural block diagram of the enterprise management assessment and evaluation system in the second embodiment of the present invention;

[0043] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0044] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0045] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0047] See also Figure 1 The enterprise management assessment and evaluation method provided by the first embodiment of the present invention comprises the following steps:

[0048] S10: Acquire report data related to the employee's work situation, filter the report data to generate a number of completion scores corresponding to a number of rating indicators, generate a completion rating based on the completion scores, determine an initial comprehensive score based on the number of completion scores, and generate an initial comprehensive rating corresponding to the initial comprehensive score;

[0049] Generally speaking, an enterprise will build an experience analysis management system to generate the above-mentioned report data in the experience analysis management system by collecting various data of employees in the daily work process.

[0050] Specifically, the step S10 includes:

[0051] S110: constructing a plurality of rating indicators and rating thresholds corresponding to the rating indicators based on the work situation of the employee, generating a plurality of keywords corresponding to the plurality of rating indicators, and obtaining an identification ID corresponding to the employee;

[0052] S120: extracting a plurality of associated data from the report data based on the identification ID and the plurality of keywords, and comparing the associated data with the rating threshold to obtain a plurality of completion scores corresponding to the plurality of rating indicators;

[0053] Taking mobile phone sales as an example, several of the rating indicators are: working hours, sales volume, after-sales rating, and sales amount. The rating threshold is the target requirement under different rating indicators. For example, taking sales volume as an example, the rating threshold is 100 units. Through the keywords, the completion status related to the rating indicator can be retrieved from the report data. Similarly, when the sales volume is used as the rating indicator, the keywords are sold, sold and / or sold. After completing the extraction of the associated data, when the sales volume is used as the rating indicator, the associated data is 90 units, then the associated data is compared with the rating threshold, and the completion score of the rating indicator of sales volume is determined to be 90 points in percentage. There is a unique relationship between the identification ID and the employee, that is, the identification ID can be used to confirm that the retrieved data is the data of a specific employee. In this embodiment, the identification ID is the employee number.

[0054] The completion rating is determined by segmenting the scores. In this embodiment, the completion rating is specifically: 0-25 points for D level, 25-50 points for C level, 50-75 points for B level, and 75-100 points for A level.

[0055] S20: Obtaining the comprehensive information entropy of the initial comprehensive rating based on the first category of the initial comprehensive rating and the number of employees;

[0056] The initial comprehensive rating is determined in the same manner as the completed rating. In this embodiment, the initial comprehensive rating is also A, B, C, and D, that is, the first categories are A, B, C, and D, for a total of 4 categories.

[0057] The calculation formula of the comprehensive information entropy is:

[0058]

[0059] Among them, S z represents the comprehensive information entropy, N i represents the number of initial comprehensive ratings of the i-th first category, N j represents the number of initial comprehensive ratings of the jth first category, and i, j∈j 1 , j 1 represents the first category of the initial comprehensive rating, Y represents the number of employees, log 2 (·) represents a logarithmic function.

[0060] S30: designating different rating indicators as main indicators respectively, and obtaining indicator information entropy of the main indicators based on the second type of completed rating corresponding to the main indicators;

[0061] Specifically, the step S30 includes:

[0062] S310: Obtain a second category of the completed rating corresponding to the main indicator, and obtain a first number of the first category of the initial comprehensive rating corresponding to different second categories;

[0063] S320: Obtain second quantities corresponding to different second categories, and determine different single information entropies of the second categories based on the first quantity and the second quantity;

[0064] It can be understood that the second category is also A, B, C, and D, a total of 4 categories. Taking sales quantity as an example, when sales quantity is the main indicator, assuming that the number of employees is 100, A is 10, B is 40, C is 40, and D is 10, then 10, 40, 40, and 10 are different second quantities of the second category. When sales quantity is the main indicator and A is 10, if the first category of the initial comprehensive rating still includes A, B, C, and D, the first quantity of A, B, C, and D of the initial comprehensive rating is obtained respectively, such as the initial comprehensive rating of A, B, C, and D are 3, 1, 4, and 2 respectively.

[0065] The calculation formula of the single information entropy is:

[0066]

[0067] Among them, S dk represents the single information entropy of the completed rating of the kth second category when the dth rating indicator is the main indicator, O k represents the second number of completed ratings of the kth second category, N a represents the first number of initial comprehensive ratings of the ath first category in the kth second category completed ratings, Nb represents the first number of initial comprehensive ratings of the bth first category in the kth second category completed ratings, and a, b∈j 1 , j 1 Represents the first category collection of initial comprehensive ratings, log 2 (·) indicates logarithmic function;

[0068] S330: Obtaining the indicator information entropy of the main indicator through the single information entropy;

[0069] The calculation formula of the indicator information entropy is:

[0070]

[0071] Among them, S d represents the indicator information entropy when the d-th rating indicator is the main indicator, O l represents the second number of completed ratings of the lth second category, Y represents the number of employees, S dl represents the single information entropy of the completed rating of the lth second category when the dth rating indicator is the main indicator, and k, l∈j 2 , j 2 A second type of collection representing completed ratings.

[0072] S40: determining gain values ​​of different rating indicators based on the comprehensive information entropy and the indicator information entropy, determining rating weights of the rating indicators through the gain values, determining a final comprehensive score based on the rating weights and the completion score, and obtaining a final comprehensive rating through the final comprehensive score;

[0073] The calculation formula of the gain value is:

[0074] Z d =S z -S dk ,

[0075] Among them, Z d represents the gain value of the dth rating indicator, S z represents the comprehensive information entropy, S d It represents the indicator information entropy when the d-th rating indicator is the main indicator.

[0076] After obtaining the gain values ​​of different rating indicators, several gain values ​​are superimposed to obtain a total gain value, and the proportions of different gain values ​​in the total gain value are determined to obtain the rating proportion.

[0077] The step S40 comprises:

[0078] S410: Determine the final score of the rating indicator by using the rating weight level and the completion score;

[0079] S420: superimposing the final scores of the different rating indicators to obtain a final comprehensive score;

[0080] After multiplying the rating weight by the completion score, the final score is obtained. After obtaining the final comprehensive score, the method for obtaining the final comprehensive score is the same as the method for obtaining the completion score, which will not be repeated here.

[0081] By filtering the report data, data irrelevant to the rating indicators in the report data can be removed, thereby improving the efficiency of obtaining the final comprehensive rating; by obtaining the completed score and generating the initial comprehensive rating, the initial evaluation of the employee's work situation is completed, and based on the gain value between the indicator information entropy and the comprehensive information entropy, the strength of the correlation between different rating indicators and the overall evaluation results of the employee can be clarified, and then based on the difference between the gain values, the proportion of the completed score under different rating indicators is allocated according to the strength of the correlation between different rating indicators and the employee's work situation, thereby obtaining the final comprehensive rating, and more accurately evaluating the employees as a whole, ensuring the fairness of enterprise management assessment and evaluation.

[0082] See also Figure 2 The second embodiment of the present invention provides an enterprise management assessment and evaluation system, which is applied to the enterprise management assessment and evaluation method described in the above embodiment, and will not be repeated here. As used below, the terms "module", "unit", "subunit", etc. can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0083] The system comprises:

[0084] The first evaluation module 10 is used to obtain report data related to the work status of the employee, filter the report data to generate a number of completion scores corresponding to a number of rating indicators, generate a completion rating based on the completion scores, determine an initial comprehensive score based on the number of completion scores, and generate an initial comprehensive rating corresponding to the initial comprehensive score;

[0085] The first evaluation module 10 comprises:

[0086] The first unit is used to construct a plurality of rating indicators and rating thresholds corresponding to the rating indicators based on the work situation of the employee, generate a plurality of keywords corresponding to the plurality of rating indicators, and obtain an identification ID corresponding to the employee;

[0087] A second unit is used to extract a plurality of related data from the report data based on the identification ID and the plurality of keywords, and compare the related data with the rating threshold to obtain a plurality of completion scores corresponding to the plurality of rating indicators;

[0088] A first analysis module 20, configured to obtain a comprehensive information entropy of the initial comprehensive rating based on the first category of the initial comprehensive rating and the number of employees;

[0089] A second analysis module 30 is used to designate different rating indicators as main indicators respectively, and obtain the indicator information entropy of the main indicator based on the second type of the completed rating corresponding to the main indicator;

[0090] A third unit is used to obtain a second category of the completed rating corresponding to the main indicator, and obtain a first number of the first category of the initial comprehensive rating corresponding to different second categories;

[0091] A fourth unit is configured to obtain second quantities corresponding to different second categories, and determine different single information entropies of the second categories based on the first quantity and the second quantity;

[0092] A fifth unit, configured to obtain the indicator information entropy of the main indicator through the single information entropy;

[0093] A second evaluation module 40 is used to determine the gain values ​​of different rating indicators based on the comprehensive information entropy and the indicator information entropy, determine the rating weight of the rating indicator through the gain value, determine the final comprehensive score based on the rating weight and the completion score, and obtain the final comprehensive rating through the final comprehensive score;

[0094] The second evaluation module 40 includes:

[0095] A sixth unit is used to determine the final score of the rating indicator through the rating weight level and the completion score;

[0096] The seventh unit is used to superimpose the final scores of different rating indicators to obtain a final comprehensive score.

[0097] The present invention also provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the enterprise management assessment and evaluation method as described in the above technical solution is implemented.

[0098] The present invention also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the enterprise management assessment and evaluation method described in the above technical solution is implemented.

[0099] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0100] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for enterprise management assessment and evaluation, characterized in that: The following steps are involved: Acquire report data related to the employee's work situation, filter the report data to generate a number of completion scores corresponding to a number of rating indicators, generate a completion rating based on the completion scores, determine an initial comprehensive score based on the number of completion scores, and generate an initial comprehensive rating corresponding to the initial comprehensive score; Obtaining a comprehensive information entropy of the initial comprehensive rating based on the first category of the initial comprehensive rating and the number of employees; designating different rating indicators as main indicators respectively, and obtaining the indicator information entropy of the main indicator based on the second type of the completed rating corresponding to the main indicator; Based on the comprehensive information entropy and the indicator information entropy, the gain values ​​of the different rating indicators are determined, the rating weight of the rating indicator is determined through the gain value, the final comprehensive score is determined based on the rating weight and the completion score, and the final comprehensive rating is obtained through the final comprehensive score.

2. The enterprise management assessment and rating method according to claim 1 is characterized in that: The step of filtering the report data to generate a plurality of completion scores corresponding to a plurality of rating indicators comprises: Constructing a number of rating indicators and rating thresholds corresponding to the rating indicators based on the employee's work situation, generating a number of keywords corresponding to the number of rating indicators, and obtaining an identification ID corresponding to the employee; A plurality of associated data are extracted from the report data based on the identification ID and the plurality of keywords, and the associated data are compared with the rating threshold to obtain a plurality of completion scores corresponding to the plurality of rating indicators.

3. The enterprise management assessment and evaluation method according to claim 1 is characterized in that: The calculation formula of the comprehensive information entropy is: Among them, S z represents the comprehensive information entropy, N i represents the number of initial comprehensive ratings of the i-th first category, N j represents the number of initial comprehensive ratings of the jth first category, and i, j∈j1, j1 represents the first category collection of initial comprehensive ratings, Y represents the number of employees, and log2(·) represents the logarithmic function.

4. The enterprise management assessment and evaluation method according to claim 1 is characterized in that: The step of obtaining the indicator information entropy of the main indicator based on the second type of the completion rating corresponding to the main indicator comprises: Acquire a second category of the completed rating corresponding to the main indicator, and acquire a first number of the first category of the initial comprehensive rating corresponding to different second categories; Acquire second quantities corresponding to different second categories, and determine different single information entropies of the second categories based on the first quantity and the second quantity; The indicator information entropy of the main indicator is obtained through the single information entropy.

5. The enterprise management assessment and evaluation method according to claim 4 is characterized in that: The calculation formula of the single information entropy is: Among them, S dk represents the single information entropy of the completed rating of the kth second category when the dth rating indicator is the main indicator, O k represents the second number of completed ratings of the kth second category, N a represents the first number of initial comprehensive ratings of the ath first category in the kth second category completed ratings, N b represents the first number of the initial comprehensive ratings of the bth first category in the completed ratings of the kth second category, and a, b∈j1, j1 represents the first category collection of the initial comprehensive ratings, and log2(·) represents the logarithmic function; The calculation formula of the indicator information entropy is: Among them, S d represents the indicator information entropy when the d-th rating indicator is the main indicator, O l represents the second number of completed ratings of the first second category, Y represents the number of employees, S dl It represents the single information entropy of the completed rating of the first second category when the dth rating indicator is the main indicator, and k, l∈j2, j2 represents the collection of the second categories of completed ratings.

6. The enterprise management assessment and evaluation method according to claim 1 is characterized in that: The calculation formula of the gain value is: Z d =S z -S dk , Among them, Z d represents the gain value of the dth rating indicator, S z represents the comprehensive information entropy, S d It represents the indicator information entropy when the d-th rating indicator is the main indicator.

7. The enterprise management assessment and evaluation method according to claim 1 is characterized in that: The step of determining the final comprehensive score based on the rating weight and the completion score includes: Determine the final score of the rating indicator by using the rating weight level and the completion score; The final scores of the different rating indicators are superimposed to obtain a final comprehensive score.

8. An enterprise management assessment and evaluation system, applied to the enterprise management assessment and evaluation method according to any one of claims 1 to 7, characterized in that: The system comprises: A first evaluation module is used to obtain report data related to the work status of the employee, filter the report data to generate a number of completion scores corresponding to a number of rating indicators, generate a completion rating based on the completion scores, determine an initial comprehensive score based on the number of completion scores, and generate an initial comprehensive rating corresponding to the initial comprehensive score; A first analysis module, configured to obtain a comprehensive information entropy of the initial comprehensive rating based on the first category of the initial comprehensive rating and the number of employees; A second analysis module is used to designate different rating indicators as main indicators respectively, and obtain the indicator information entropy of the main indicator based on the second type of the completed rating corresponding to the main indicator; The second evaluation module is used to determine the gain values ​​of different rating indicators based on the comprehensive information entropy and the indicator information entropy, determine the rating weight of the rating indicator through the gain value, determine the final comprehensive score based on the rating weight and the completion score, and obtain the final comprehensive rating through the final comprehensive score.

9. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the enterprise management assessment and evaluation method according to any one of claims 1 to 7 is implemented.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the enterprise management assessment and evaluation method as described in any one of claims 1 to 7 is implemented.

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