Illegal evaluation method and device based on entropy weight method, and electronic equipment

Abstract

The invention provides a violation evaluation method and device based on an entropy weight method and electronic equipment, and relates to the technical field of violation evaluation, and the method comprises the steps: obtaining a score deduction coefficient, and obtaining a score deduction matrix; obtaining the number of target individuals violating the question, and obtaining a violating people number matrix; obtaining an influence coefficient to obtain an influence matrix; according to the score deduction matrix, the violating people number matrix and the influence matrix, first evaluation scores of all stages corresponding to the first-level evaluation indexes of the multiple target groups are determined; on the basis of the multiple first evaluation scores, second evaluation scores of all stages corresponding to the multiple target groups are determined through an entropy weight method; determining target evaluation scores corresponding to the plurality of target groups according to the second evaluation score; and sorting the plurality of target groups according to the target evaluation scores to obtain a comprehensive evaluation result, so that the first-level evaluation indexes of the target groups can be quantified, the real conditions of the target groups can be reflected more accurately, and the multi-stage evaluation requirements of the target groups can be met.

Description

Technical Field

[0001] This application relates to the technical field of violation evaluation, and more particularly, to a violation evaluation method, device, and electronic device based on the entropy weight method. Background Art

[0002] Currently, evaluation methods mainly include subjective evaluation methods and objective evaluation methods. Subjective evaluation methods are based on personal feelings, experiences, and values, and thus inevitably include the personal attitudes and preferences of evaluators; while objective evaluation methods rely on facts, data, and standards and can more accurately reflect the true situation and performance of the evaluation object.

[0003] The entropy weight method is an objective evaluation algorithm that quantifies the importance of indicators based on the core idea of information entropy. Due to its theoretical basis, objectivity, and high credibility, it has been widely used in the industry.

[0004] However, in a multi-stage unit evaluation scenario with a two-level organizational structure and a negative scoring / deduction mechanism as the guide, the entropy weight method has certain limitations. It is usually only applicable to target groups with a single-level structure, has a large dependence on samples, cannot quantify evaluation indicators, and at the same time, it cannot meet the multi-stage evaluation requirements and other problems. Summary of the Invention

[0005] In order to at least overcome the above deficiencies in the prior art, the purpose of this application is to provide a violation evaluation method, device, and electronic device based on the entropy weight method.

[0006] In a first aspect, an embodiment of this application provides a violation evaluation method based on the entropy weight method, the method including:

[0007] Obtain the deduction coefficients corresponding to each target subject in each target group to obtain a deduction matrix;

[0008] Obtain the number of target individuals corresponding to the violation problems of each of the target subjects to obtain a violation number matrix;

[0009] Obtain a plurality of influence coefficients representing the severity of the violation problems to obtain an influence matrix;

[0010] Determine the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups according to the deduction matrix, the violation number matrix, and the influence matrix;

[0011] Based on the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups, determine the second evaluation scores of each stage corresponding to the plurality of target groups through the entropy weight method;

[0012] Determine the target evaluation scores corresponding to the multiple target groups respectively according to the second evaluation scores of each stage corresponding to the multiple target groups respectively;

[0013] Rank the multiple target groups according to the target evaluation scores corresponding to the multiple target groups respectively to obtain a comprehensive evaluation result.

[0014] In a possible implementation manner, before the step of obtaining the deduction coefficient corresponding to each target subject in each target group to obtain a deduction matrix, the method further includes:

[0015] Select primary evaluation indicators and determine the secondary problem indicators included in each of the primary evaluation indicators;

[0016] The step of obtaining the deduction coefficient corresponding to each target subject in each target group to obtain a deduction matrix includes:

[0017] Based on the secondary problem indicators, obtain the deduction coefficient corresponding to each target subject in each target group for violating the secondary problem indicators to obtain a deduction matrix;

[0018] The step of obtaining the number of target individuals corresponding to the violation problems of each target subject to obtain a violation number matrix includes:

[0019] Obtain the number of target individuals corresponding to the violation problems of each target subject on the secondary problem indicators and the severity of the violation problems to obtain a violation number matrix;

[0020] The step of obtaining multiple influence coefficients representing the influence degree of the violation problems to obtain an influence matrix includes:

[0021] Obtain multiple influence coefficients representing the severity of the violation problems corresponding to the target group on the secondary problem indicators to obtain an influence matrix.

[0022] In a possible implementation manner, the deduction matrix R1 is:

[0023] R1 = [A1 A2 … A m

[0024] where m represents the number of different target subjects in each target group, and A m represents the deduction coefficients corresponding to m different target subjects;

[0025] The violation number matrix k h is:

[0026]

[0027] ​Among them, h represents the number of secondary problem indicators corresponding to the selected primary evaluation indicators, and k h represents the h-th secondary problem indicator, n represents the severity of the violation problem, and B mn represents the number of target individuals in the target entity m that violate the secondary problem indicator and have a severity of n;

[0028] The influence matrix R2 is as follows:

[0029]

[0030] Among them, C n represents the influence coefficient corresponding to the severity of the violation problem.

[0031] In a possible implementation, the first evaluation scores X at each stage respectively corresponding to the primary evaluation indicators of the multiple target groups j are calculated through the following method:

[0032]

[0033] Among them, R1 represents the deduction matrix; k h represents the number of violators matrix; R2 represents the influence matrix.

[0034] In a possible implementation, the steps of determining the second evaluation scores corresponding to the multiple target groups at each stage based on the first evaluation scores at each stage respectively corresponding to the primary evaluation indicators of the multiple target groups include:

[0035] Performing standardization processing on the first evaluation scores at each stage respectively corresponding to the primary evaluation indicators of the multiple target groups to obtain standardized evaluation scores;

[0036] Calculating the information entropy of the standardized evaluation scores to obtain the information entropy respectively corresponding to each primary evaluation indicator;

[0037] Determining the weights respectively corresponding to each primary evaluation indicator according to the information entropy;

[0038] Determining the second evaluation scores corresponding to the multiple target groups at each stage according to the weights respectively corresponding to each primary evaluation indicator.

[0039] In a possible implementation, the standardized evaluation score Z ij is calculated through the following method:

[0040]

[0041] Among them, X ijThe first evaluation score of the j-th first-level evaluation index of the i-th target group; X min (j) represents the minimum value of the first evaluation score of the j-th first-level evaluation index; X max (j) represents the maximum value of the first evaluation score of the j-th first-level evaluation index; i = 1, 2, …, θ1; θ1 represents the total number of target groups; j = 1, 2, …, θ2; θ2 represents the total number of first-level evaluation indexes;

[0042] The information entropy e corresponding to each of the first-level evaluation indexes j Is calculated by the following method:

[0043]

[0044] Among them, β represents a constant, y ij Represents the proportion of the j-th first-level evaluation index of the i-th target group among the j-th first-level evaluation indexes of all target groups;

[0045] The weight ω corresponding to each of the first-level evaluation indexes j Is calculated by the following method:

[0046]

[0047] Among them, e j Represents the information entropy corresponding to the j-th first-level evaluation index;

[0048] The second evaluation scores S of each stage corresponding to multiple target groups i Is calculated by the following method:

[0049]

[0050] Among them, ω j Represents the weight corresponding to the j-th first-level evaluation index.

[0051] In a possible implementation manner, the target evaluation scores Score corresponding to multiple target groups i Is calculated by the following method:

[0052]

[0053] Among them, t represents the stage coefficient, and S it Represents the second evaluation score of the i-th target group at the t-th stage.

[0054] In a second aspect, the embodiments of the present application further provide a violation evaluation device based on the entropy weight method. The violation evaluation device based on the entropy weight method includes:

[0055] The first acquisition module is configured to acquire the deduction coefficients corresponding to each target subject in each target group, and obtain a deduction matrix;

[0056] The second acquisition module is configured to acquire the number of target individuals with violation problems corresponding to each of the target subjects, and obtain a violation number matrix;

[0057] The third acquisition module is configured to acquire a plurality of influence coefficients characterizing the severity of violation problems, and obtain an influence matrix;

[0058] The first determination module is configured to determine the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups respectively according to the deduction matrix, the violation number matrix, and the influence matrix;

[0059] The second determination module is configured to determine the second evaluation scores of each stage corresponding to the plurality of target groups respectively by using the entropy weight method based on the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups;

[0060] The third determination module is configured to determine the target evaluation scores corresponding to the plurality of target groups respectively according to the second evaluation scores of each stage corresponding to the plurality of target groups respectively;

[0061] The sorting module is configured to sort the plurality of target groups according to the target evaluation scores corresponding to the plurality of target groups respectively, and obtain a comprehensive evaluation result.

[0062] In a third aspect, an embodiment of the present application further provides an electronic device, including:

[0063] A memory for storing one or more programs;

[0064] A processor, when the one or more programs are executed by the processor, implements the violation evaluation method based on the entropy weight method provided in the first aspect above.

[0065] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the violation evaluation method based on the entropy weight method provided in the first aspect above.

[0066] Based on any of the above aspects, the method, apparatus, and electronic device for violation evaluation based on the entropy weight method provided by the embodiments of the present application calculate the first evaluation scores corresponding to each first-level evaluation index through a deduction matrix, a number of violators matrix, and an influence matrix, improving the calculation method of the first evaluation scores corresponding to the first-level evaluation indexes and the applicability problem of the target group with a secondary evaluation organizational structure. By quantifying the first-level evaluation indexes of the target group, the true situation of the target group can be more accurately reflected. At the same time, by calculating the target evaluation scores of each target group through the second evaluation scores corresponding to each stage of the target group, the multi-stage evaluation requirements of the target group can be met. Brief Description of the Drawings

[0067] To more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be invoked in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0068] Figure 1 It is a schematic flowchart of the method for violation evaluation based on the entropy weight method provided in this embodiment;

[0069] Figure 2 It is a schematic structural diagram of the secondary evaluation organizational structure provided in this embodiment;

[0070] Figure 3 It is a schematic diagram of the sub-steps of step S500 provided in this embodiment;

[0071] Figure 4 It is a schematic structural diagram of the electronic device provided in this embodiment;

[0072] Figure 5 It is a schematic structural diagram of the apparatus for violation evaluation based on the entropy weight method provided in this embodiment.

[0073] Reference Signs: 800 - Electronic Device; 810 - Processor; 820 - Computer Readable Storage Medium; 830 - Apparatus for Violation Evaluation Based on Entropy Weight Method; 831 - First Acquisition Module; 832 - Second Acquisition Module; 833 - Third Acquisition Module; 834 - First Determination Module; 835 - Second Determination Module; 836 - Third Determination Module; 837 - Sorting Module. Detailed Embodiments

[0074] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are some, but not all, of the embodiments of this application. The components of the embodiments of this application usually described and illustrated in the drawings here can be arranged and designed in various different configurations.

[0075] Therefore, the following detailed description of the embodiments of this application provided in the drawings is not intended to limit the scope of this application that is claimed, but merely represents selected embodiments of this application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts belong to the scope of protection of this application.

[0076] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0077] In the description of this application, it should be noted that the orientation or positional relationship indicated by terms such as "upper" and "lower" is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the products of this application are usually placed when in use. It is only for the convenience of describing this application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. In addition, terms such as "first" and "second" are only used for descriptive distinction and should not be construed as indicating or implying relative importance.

[0078] It should be noted that, without conflict, different features in the embodiments of this application can be combined with each other.

[0079] In view of this, this embodiment provides a solution that can solve the above problems. The solution provided in this embodiment will be elaborated in detail below.

[0080] Please refer to Figure 1 , Figure 1 a schematic flowchart of a method for evaluating violations based on the entropy weight method provided in this embodiment. The method may include the following steps.

[0081] Step S100, obtain the deduction coefficients corresponding to each target subject in each target group respectively to obtain a deduction matrix.

[0082] In this embodiment, the target group may be the unit to be evaluated. The unit to be evaluated may refer to organs, groups, or various departments belonging to an organ or group that have the same secondary evaluation organizational structure under the same organizational system. Additionally, the units to be evaluated all have multi-stage evaluation requirements. Since different target groups can each include multiple different target subjects (for example, the target subjects included in different units to be evaluated can be divided into senior management, middle management, core members, and other employees), the deduction coefficients corresponding to different target subjects can be different. By obtaining the deduction coefficients corresponding to each target group respectively, a deduction matrix can be constructed. Among them, the deduction coefficient can be a pre-set value.

[0083] Step S200: Obtain the number of target individuals corresponding to the violation problems of each of the said target subjects to obtain a violation number matrix.

[0084] In this embodiment, since the number of people corresponding to the violation problems of each target subject in different units to be evaluated is different, it is possible to obtain the number of target individuals corresponding to the violation problems of each target subject and construct a violation number matrix based on the number of target individuals corresponding to the violation problems.

[0085] Step S300: Obtain multiple influence coefficients representing the severity of the violation problems to obtain an influence matrix.

[0086] In this embodiment, since the severity of different violation problems has different impacts on the target team, it is possible to obtain multiple influence coefficients representing the severity of the violation problems and construct an influence matrix based on the influence coefficients.

[0087] Step S400: Determine the first evaluation scores of each stage corresponding to the first-level evaluation indicators of multiple said target groups according to the deduction matrix, the violation number matrix, and the influence matrix.

[0088] In this embodiment, the first evaluation scores of each stage corresponding to the first-level evaluation indicators of multiple target groups can be calculated according to the deduction matrix obtained in step S100, the violation number matrix obtained in step S200, and the influence matrix obtained in step S300.

[0089] For example, for the unit to be evaluated, its first-level evaluation indicators may include work style, leadership decision-making, selection and appointment of personnel, life style, etc. According to the deduction matrix, the violation number matrix, and the influence matrix, the first evaluation scores corresponding to the work style, leadership decision-making, selection and appointment of personnel, or life style, etc. of a certain unit to be evaluated in a certain stage can be calculated.

[0090] Step S500: Based on the first evaluation scores at each stage corresponding to the first-level evaluation indicators of multiple target groups, determine the second evaluation scores at each stage corresponding to multiple target groups respectively by using the entropy weight method.

[0091] In this embodiment, after obtaining the first evaluation scores corresponding to the first-level evaluation indicators of the target group respectively, the second evaluation scores corresponding to the target group at each stage can be calculated by using the Entropy Weight Method (EWM).

[0092] Step S600: Determine the target evaluation scores corresponding to multiple target groups respectively according to the second evaluation scores at each stage corresponding to multiple target groups respectively.

[0093] In this embodiment, the target evaluation scores of the target group can be calculated according to the second evaluation scores corresponding to the target group at each stage obtained in step S500. Among them, the target evaluation score can refer to the average evaluation score of the target group within an assessment cycle. An assessment cycle can include multiple stages, and the number of stages included in the assessment cycles corresponding to different target groups can be different.

[0094] Step S700: Rank multiple target groups according to the target evaluation scores corresponding to multiple target groups respectively to obtain a comprehensive evaluation result.

[0095] In this embodiment, the target groups can be ranked according to the target evaluation scores corresponding to each target group obtained in step S600 to obtain a comprehensive evaluation result. Among them, the comprehensive evaluation result refers to the performance of each target group. The higher the target evaluation score, the fewer the violations of the target group, and the better the performance of the target group.

[0096] It can be seen that based on the above design, the violation evaluation method based on the entropy weight method provided by the embodiments of the present application calculates the first evaluation scores corresponding to the first-level evaluation indicators through the deduction matrix, the number of violators matrix, and the influence matrix, improves the calculation method of the first evaluation scores corresponding to the first-level evaluation indicators and the applicability problem of the target group with a two-level evaluation organizational structure. By quantifying the first-level evaluation indicators of the target group, it can more accurately reflect the real situation of the target group. At the same time, by calculating the target evaluation scores of each target group according to the second evaluation scores corresponding to the target group at each stage, the multi-stage evaluation requirements of the target group can be met.

[0097] In addition, the violation evaluation method based on the entropy weight method provided by the embodiments of the present application can be applied to target groups with a two-level evaluation organizational structure.

[0098] In a possible implementation manner, please refer toFigure 2 , each target group has the same secondary evaluation organizational structure. The secondary evaluation organizational structure may include primary evaluation indicators and multiple secondary question indicators corresponding to the primary evaluation indicators. The primary evaluation indicators can reflect the overall evaluation dimensions, and the secondary question indicators can be used to provide a basis for evaluation.

[0099] Before step S100, primary evaluation indicators can also be selected, and the secondary question indicators included in each primary evaluation indicator can be determined.

[0100] In this embodiment, any primary evaluation indicator for which the first evaluation score has not been calculated can be selected, the secondary question indicators corresponding to the primary evaluation indicator can be determined, and a deduction matrix, a number of violators matrix, and an influence matrix can be constructed based on the secondary question indicators, so as to calculate the first evaluation score corresponding to the primary evaluation indicator. This is done until the first evaluation scores corresponding to each primary evaluation indicator are calculated respectively.

[0101] In some examples, the primary evaluation indicators of the target group may include work style, leadership decision-making, selection and appointment of personnel, life style, etc. Each primary evaluation indicator can be composed of multiple relevant secondary question indicators. For example, the secondary question indicators corresponding to the work style in the primary evaluation indicator may include being afraid to fight and unwilling to take responsibility when facing contradictions, conflicts, crises, and difficulties; not taking responsibility, not acting, acting randomly, and acting falsely in the performance of duties; the power operation restriction and supervision mechanism is not perfect, and there is no institutional arrangement where power must be accompanied by responsibility, the exercise of power must bear responsibility, and abuse of power must be held accountable.

[0102] When obtaining the deduction coefficients corresponding to each target subject in each target group to obtain the deduction matrix, the deduction coefficients for each target subject in each target group corresponding to violating the secondary question indicators can be obtained based on the secondary question indicators to obtain the deduction matrix.

[0103] In this embodiment, the deduction coefficients corresponding to different target subjects violating any one secondary question indicator can be obtained, and a deduction matrix can be constructed based on the deduction coefficients. For different secondary question indicators under the primary evaluation indicator, the deduction coefficients corresponding to the same target subject are the same.

[0104] For example, when the target subjects in the target group include senior management, middle management, core members, and other employees, the deduction coefficients corresponding to each target subject can be 4, 3, 2, and 1 respectively.

[0105] Specifically, the deduction matrix R1 can be:

[0106] R1 = [A1 A2 … A m

[0107] where R1 ∈ R 1×m ​, m can represent the number of different target entities in each target group. For example, when the target entities in the target group include senior management, middle management, core members, and other employees, the value of m can be 4, A m can represent the deduction coefficients corresponding to the same problem violated by m different target entities.

[0108] When obtaining the number of target individuals corresponding to the violated problems of each target entity to obtain the violation number matrix, the number of target individuals corresponding to the violated problems of each target entity on the secondary problem indicators and the severity of the violated problems can be obtained to obtain the violation number matrix.

[0109] In this embodiment, for any secondary problem indicator corresponding to the primary evaluation indicator, the number of people violating the problem and the severity of the violated problem corresponding to each target entity on this secondary problem indicator can be obtained, and a violation number matrix can be constructed based on the number of people violating the problem and the severity of the violated problem.

[0110] For example, the severity of the violated problem can include four levels: serious circumstances, general problems, minor circumstances, and no violation.

[0111] Specifically, for any secondary problem indicator k, the violation number matrix k h can be:

[0112]

[0113] where k h ∈R m×n , k can represent the secondary problem indicator corresponding to the selected primary evaluation indicator, h can represent the number of secondary problem indicators corresponding to the selected primary evaluation indicator, k h can represent the h-th secondary problem indicator, n can represent the severity of the violated problem, and B mn can represent the number of target individuals among the m target entities who violate this secondary problem indicator and whose severity is n.

[0114] When obtaining multiple influence coefficients representing the influence degree of the violated problems to obtain the influence matrix, multiple influence coefficients representing the severity of the violated problems corresponding to the target group on the secondary problem indicators can be obtained to obtain the influence matrix.

[0115] In this embodiment, the impacts of different severities of violation issues on the target group are different. Different severities of violation issues can correspond to different influence coefficients. Therefore, an influence matrix can be constructed based on the obtained multiple influence coefficients. For example, when the severity of the violation issue includes serious circumstances, general problems, minor circumstances, and no violation, the influence coefficients used to represent the severity of the violation issue can be 1.5, 1.2, 1, and 0 respectively. Among them, the value of the influence coefficient corresponding to the serious circumstances of the violation issue is the largest, and the value of the influence coefficient corresponding to no violation of the violation issue is the smallest.

[0116] Specifically, the influence matrix R2 can be:

[0117]

[0118] where R2 ∈ R n×1 , C n can represent the influence coefficient corresponding to the severity of the violation issue.

[0119] In a possible implementation manner, for each first-level evaluation index, a deduction matrix, a number of violators matrix, and an influence matrix corresponding to each second-level problem index under the first-level evaluation index can be constructed. After obtaining the deduction matrix, the number of violators matrix, and the influence matrix corresponding to each second-level problem index under the first-level evaluation index j, the first evaluation scores of each stage corresponding to the first-level evaluation index j of the target group can be calculated.

[0120] Specifically, the first evaluation scores X j corresponding to each stage of each first-level evaluation index of multiple target groups can be calculated in the following way:

[0121]

[0122] where h can represent the number of second-level problem indexes, R1 can represent the deduction matrix; k h can represent the number of violators matrix; R2 can represent the influence matrix. If X j < 0, then define X j = 0.

[0123] In a possible implementation manner, after obtaining the first evaluation scores corresponding to each first-level evaluation index of all target groups, the first evaluation scores can be recorded as a θ1×θ2 table, where i = 1, 2,..., θ1; θ1 represents the total number of target groups under the same second-level evaluation organizational structure; j = 1, 2,..., θ2; θ2 represents the total number of first-level evaluation indexes.

[0124] Please refer to Figure 3, Step S500 may include the following sub-steps.

[0125] Step S510, standardize the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the multiple target groups to obtain standardized evaluation scores.

[0126] Since the dimensions of the first-level evaluation indicators are different, in order to make the data comparable, therefore, the extreme value standardization method can be used to standardize each first evaluation score to eliminate the dimensional differences of the first-level evaluation indicators. The values of the standardized evaluation scores obtained after the standardization process are within the range of [0, 1]. In this embodiment, each first-level evaluation indicator is a positive indicator, and the larger the value of the first evaluation score corresponding to each first-level evaluation indicator, the better the performance of the target group.

[0127] Specifically, the standardized evaluation score Z ij can be calculated in the following way:

[0128]

[0129] where X ij can represent the first evaluation score of the j-th first-level evaluation indicator of the i-th target group; X min (j) can represent the minimum value of the first evaluation scores of the j-th first-level evaluation indicator; X max (j) can represent the maximum value of the first evaluation scores of the j-th first-level evaluation indicator.

[0130] Step S520, calculate the information entropy of the standardized evaluation scores to obtain the information entropy corresponding to each first-level evaluation indicator.

[0131] In this embodiment, the proportion of the j-th first-level evaluation indicator of the target group i among all the j-th first-level evaluation indicators of the target groups can be calculated first according to the standardized evaluation scores obtained in step S510, and then the information entropy corresponding to each first-level evaluation indicator can be calculated through the information entropy formula.

[0132] Specifically, the proportion y ij of the j-th first-level evaluation indicator of the target group i among all the j-th first-level evaluation indicators of the target groups can be calculated in the following way:

[0133]

[0134] The information entropy e j corresponding to each first-level evaluation indicator can be calculated in the following way:

[0135]

[0136] Among them, β can represent a constant, and β can be used to standardize the entropy value, and e j can represent the information entropy e corresponding to the j-th first-level evaluation index j . If y ij = 0, then y ij ln(y ij ) is defined as 0.

[0137] Step S530, determine the weights corresponding to each of the first-level evaluation indexes according to the information entropy.

[0138] In this embodiment, the weights corresponding to each first-level evaluation index obtained in step S520 can be used to calculate the weights corresponding to each first-level evaluation index.

[0139] Specifically, the weights ω j corresponding to each first-level evaluation index can be calculated in the following manner:

[0140]

[0141] where ω j can represent the weight corresponding to the j-th first-level evaluation index, and e j can represent the information entropy corresponding to the j-th first-level evaluation index.

[0142] Step S540, determine the second evaluation scores corresponding to each stage of the multiple target groups according to the weights corresponding to each of the first-level evaluation indexes.

[0143] In this embodiment, the second evaluation scores corresponding to each stage of each target group can be calculated according to the weights corresponding to each first-level evaluation index obtained in step S530.

[0144] Specifically, the second evaluation score S i corresponding to a certain stage of target group i can be calculated in the following manner:

[0145]

[0146] where ω j can represent the weight corresponding to the j-th first-level evaluation index, and Z ij can represent the standardized evaluation score of the j-th first-level evaluation index of the i-th target group.

[0147] In a possible implementation, for an assessment period, the number of stages corresponding to different target groups is different. Therefore, to ensure the fairness and consistency of the scoring results, the average evaluation score of each target group within an assessment period can be calculated as the target evaluation score through the stage coefficient.

[0148] Specifically, the target evaluation score Score corresponding to the target group i i It can be calculated as follows:

[0149]

[0150] Among them, t can represent the stage coefficient, S it It can represent the second evaluation score of the i-th target group at stage t.

[0151] In some examples, when an assessment cycle is one year, if a target group undergoes a stage assessment every quarter, the stage coefficient may be 4; if the target group undergoes a stage assessment every six months, the stage coefficient may be 2.

[0152] This embodiment also provides an electronic device 800, please refer to Figure 4 , Figure 4 The block diagram of the electronic device 800 is shown as an example. The electronic device includes a processor 810, a computer-readable storage medium 820, and a violation evaluation device 830 based on an entropy weight method.

[0153] The computer-readable storage medium 820 and the processor 810 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, these elements can be electrically connected to each other through one or more communication buses or signal lines. The violation evaluation device 830 based on the entropy weight method includes a plurality of software function modules that can be stored in the computer-readable storage medium 820 in the form of software or firmware or solidified in the operating system (OS) of the violation evaluation device 830 based on the entropy weight method. The processor 810 is used to execute the executable modules stored in the computer-readable storage medium 820, such as the software function modules and computer programs included in the violation evaluation device 830 based on the entropy weight method.

[0154] Among them, the computer-readable storage medium 820 may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc. Among them, the computer-readable storage medium 820 is used to store a program, and the processor 810 executes the program after receiving an execution instruction.

[0155] The processor 810 may be an integrated circuit chip with signal processing capabilities. The above-mentioned processor 810 may be a general-purpose processor 810, including a central processing unit 810 (CPU for short), a network processor 810 (NP for short), etc.; it may also be a digital signal processor 810 (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor 810 may be a microprocessor 810 or the processor 810 may also be any conventional processor 810, etc.

[0156] Please refer to Figure 5 , the embodiments of the present application further provide a violation evaluation device 830 based on the entropy weight method. The violation evaluation device 830 based on the entropy weight method includes a plurality of functional modules that can be stored in the computer-readable storage medium 820 in software form. Functionally divided, the violation evaluation device 830 based on the entropy weight method may include a first acquisition module 831, a second acquisition module 832, a third acquisition module 833, a first determination module 834, a second determination module 835, a third determination module 836, and a sorting module 837. Among them:

[0157] The first acquisition module 831 may be used to acquire the deduction coefficients corresponding to each target subject in each target group, and obtain a deduction matrix.

[0158] In this embodiment, the first acquisition module 831 may be used to execute Figure 1For the step S100 shown, the specific description of the first acquisition module 831 can be referred to the description of the step S100.

[0159] The second acquisition module 832 can be used to acquire the number of target individuals corresponding to the violation problems of each of the target entities, and obtain a violation number matrix.

[0160] In this embodiment, the second acquisition module 832 can be used to execute Figure 1 For the step S200 shown, the specific description of the second acquisition module 832 can be referred to the description of the step S200.

[0161] The third acquisition module 833 can be used to acquire a plurality of influence coefficients representing the severity of the violation problems, and obtain an influence matrix.

[0162] In this embodiment, the third acquisition module 833 can be used to execute Figure 1 For the step S300 shown, the specific description of the third acquisition module 833 can be referred to the description of the step S300.

[0163] The first determination module 834 can be used to determine the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups according to the deduction matrix, the violation number matrix, and the influence matrix.

[0164] In this embodiment, the first determination module 834 can be used to execute Figure 1 For the step S400 shown, the specific description of the first determination module 834 can be referred to the description of the step S400.

[0165] The second determination module 835 can be used to determine the second evaluation scores of each stage corresponding to the plurality of target groups respectively by using the entropy weight method based on the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups.

[0166] In this embodiment, the second determination module 835 can be used to execute Figure 1 For the step S500 shown, the specific description of the second determination module 835 can be referred to the description of the step S500.

[0167] The third determination module 836 can be used to determine the target evaluation scores corresponding to the plurality of target groups respectively according to the second evaluation scores of each stage corresponding to the plurality of target groups respectively.

[0168] In this embodiment, the third determination module 836 can be used to execute Figure 1For the specific description of the step S600 shown, reference may be made to the description of the step S600.

[0169] The sorting module 837 may be used to sort multiple target groups according to the target evaluation scores respectively corresponding to the multiple target groups, so as to obtain a comprehensive evaluation result.

[0170] In this embodiment, the sorting module 837 may be used to execute Figure 1 For the specific description of the step S700 shown, reference may be made to the description of the step S700.

[0171] In summary, this embodiment provides a violation evaluation method, device and electronic device based on the entropy weight method. By calculating the first evaluation scores corresponding to each first-level evaluation index through a deduction matrix, a violation number matrix and an influence matrix, the calculation method of the first evaluation scores corresponding to the first-level evaluation index and the applicability problem of the target group with a second-level evaluation organizational structure are improved. By quantifying the first-level evaluation index of the target group, the real situation of the target group can be reflected more accurately. At the same time, by calculating the target evaluation scores of each target group through the second evaluation scores respectively corresponding to each target group at each stage, the multi-stage evaluation requirements of the target group can be met.

[0172] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of another identical element in the process, method, article or device including the element.

[0173] The above are only the preferred embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A violation evaluation method based on the entropy weight method, characterized in that The method includes: Obtaining the deduction coefficients corresponding to each target subject in each target group to obtain a deduction matrix; Obtaining the number of target individuals with violation problems corresponding to each of the target subjects to obtain a violation number matrix; Obtaining a plurality of influence coefficients characterizing the severity of violation problems to obtain an influence matrix; Determining the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups according to the deduction matrix, the violation number matrix, and the influence matrix; Based on the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups, determining the second evaluation scores of each stage corresponding to the plurality of target groups respectively by using the entropy weight method; Determining the target evaluation scores corresponding to the plurality of target groups respectively according to the second evaluation scores of each stage corresponding to the plurality of target groups; Sorting the plurality of target groups according to the target evaluation scores corresponding to the plurality of target groups respectively to obtain a comprehensive evaluation result.

2. The illegal evaluation method based on the entropy weight method according to claim 1, characterized in that Before the step of obtaining the deduction coefficients corresponding to each target subject in each target group to obtain a deduction matrix, the method further includes: Selecting first-level evaluation indicators and determining the second-level problem indicators included in each of the first-level evaluation indicators; The step of obtaining the deduction coefficients corresponding to each target subject in each target group to obtain a deduction matrix includes: Based on the second-level problem indicators, obtaining the deduction coefficients corresponding to each target subject in each target group for violating the second-level problem indicators to obtain a deduction matrix; The step of obtaining the number of target individuals with violation problems corresponding to each of the target subjects to obtain a violation number matrix includes: Obtaining the number of target individuals with violation problems corresponding to each of the target subjects on the second-level problem indicators and the severity of the violation problems to obtain a violation number matrix; The step of obtaining a plurality of influence coefficients characterizing the influence degree of violation problems to obtain an influence matrix includes: Obtaining a plurality of influence coefficients characterizing the severity of violation problems corresponding to the target group on the second-level problem indicators to obtain an influence matrix.

3. The illegal evaluation method based on the entropy weight method according to claim 2, characterized in that, The deduction matrix R1 is: R1 = [A1A2…A m ​ Among them, m represents the number of different target entities in each target group, and A m represents the deduction coefficient corresponding to m different target entities; The violation number matrix k h is as follows: Among them, h represents the number of secondary problem indicators corresponding to the selected primary evaluation indicators, and k h represents the h-th secondary problem indicator, n represents the severity of the violation problem, and B mn represents the number of target individuals in the target entity m that violate this secondary problem indicator and have a severity of n; The influence matrix R2 is: Among them, C n represents the influence coefficient corresponding to the severity of the violation problem.

4. The illegal evaluation method based on the entropy weight method according to claim 3, characterized in that The first evaluation scores X for each stage corresponding to the first-level evaluation indicators of the multiple target groups respectively j are calculated by the following method: Among them, R1 represents the deduction matrix; k h represents the number of violators matrix; R2 represents the influence matrix.

5. The illegal evaluation method based on the entropy weight method according to claim 1, wherein The step of determining the second evaluation scores of each stage corresponding to the plurality of target groups respectively by using the entropy weight method based on the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups includes: Performing a normalization process on the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups to obtain normalized evaluation scores; Calculating the information entropy of the normalized evaluation scores to obtain the information entropy corresponding to each of the first-level evaluation indicators; Determining the weights corresponding to each of the first-level evaluation indicators according to the information entropy; Determining the second evaluation scores of each stage corresponding to the plurality of target groups respectively according to the weights corresponding to each of the first-level evaluation indicators.

6. The illegal evaluation method based on the entropy weight method according to claim 1, characterized in that The standardized evaluation score Z ij is calculated as follows: Among them, X ij represents the first evaluation score of the j-th first-level evaluation index of the i-th target group; X min (j) represents the minimum value of the first evaluation scores of the j-th first-level evaluation index; X max (j) represents the maximum value of the first evaluation scores of the j-th first-level evaluation index; i = 1, 2, …, θ1; θ1 represents the total number of target groups; j = 1, 2, …, θ2; θ2 represents the total number of first-level evaluation indexes; The information entropy e corresponding to each of the first-level evaluation indicators j is calculated as follows: Among them, β represents a constant, y ij represents the proportion of the j-th first-level evaluation index of the i-th target group among the j-th first-level evaluation indexes of all target groups; The weights ω corresponding to each of the first-level evaluation indicators respectively j are calculated by the following method: Among them, e j represents the information entropy corresponding to the j-th first-level evaluation index; The second evaluation scores S for each stage corresponding to multiple said target groups i are calculated by the following method: Among them, ω j represents the weight corresponding to the j-th first-level evaluation index.

7. The illegal evaluation method based on the entropy weight method according to claim 1, characterized in that The target evaluation scores Score corresponding to multiple said target groups respectively i Obtained by the following method: where t represents the stage coefficient, and S it represents the second evaluation score of the i-th target group at stage t.

8. An illegal evaluation device based on the entropy weight method, characterized in that Includes: A first acquisition module for obtaining the deduction coefficients corresponding to each target subject in each target group to obtain a deduction matrix; A second acquisition module, configured to acquire the number of target individuals with violation problems corresponding to each of the target entities, so as to obtain a violation number matrix; A third acquisition module, configured to acquire a plurality of influence coefficients representing the severity of the violation problems, so as to obtain an influence matrix; A first determination module, configured to determine first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups according to the deduction matrix, the violation number matrix, and the influence matrix; A second determination module, configured to determine second evaluation scores of each stage corresponding to the plurality of target groups respectively by using the entropy weight method based on the first evaluation scores of each stage corresponding to the first-level evaluation indicators of the plurality of target groups; A third determination module, configured to determine target evaluation scores corresponding to the plurality of target groups respectively according to the second evaluation scores of each stage corresponding to the plurality of target groups respectively; A sorting module, configured to sort the plurality of target groups according to the target evaluation scores corresponding to the plurality of target groups respectively, so as to obtain a comprehensive evaluation result.

9. An electronic device, characterized in that, The electronic device includes a processor and a computer-readable storage medium, and the computer-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are executed by the processor, the method according to any one of claims 1-7 is implemented.

10. A computer-readable storage medium, characterized in that, A computer program is stored thereon, and when the computer program is executed by a processor, the method according to any one of claims 1-7 is implemented.

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