CN-122022555-A - Multi-evaluator assessment scoring method and system based on Z-Score algorithm

CN122022555ACN 122022555 ACN122022555 ACN 122022555ACN-122022555-A

Abstract

The invention discloses a multi-evaluator assessment scoring method and system based on a Z-Score algorithm, wherein the method comprises the following steps of setting assessment scoring index weights based on business requirements, classifying posts with the same assessment scoring index into one category, integrating the assessment scoring index and the weights corresponding to the posts, and generating an assessment scoring template; dividing the class of the assessment scoring main body, setting the weight of the assessment scoring main body, determining the assessment scoring personnel of each class of the assessment scoring main body, automatically associating corresponding assessment scoring templates to generate an assessment scoring scheme, generating a dedicated interface for different assessment scoring personnel based on the assessment scoring scheme, receiving and storing the scoring information of the assessment scoring personnel, calculating the standardized Score of each assessment scoring personnel for each assessment scoring index of the assessed personnel by using a Z-Score algorithm based on the scoring information, and calculating the Score of each index of each assessed personnel by using a Z-Score algorithm based on the weight and the standardized Score of the assessment scoring main body and the index, thereby calculating the final comprehensive Score.

Inventors

SHEN YOUXING
FU GUOBAO
LIU FAN
WU SHUO
SHEN YIQING
LI NA

Assignees

中远海运科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260106

Claims (10)

1. The multi-evaluator assessment scoring method based on the Z-Score algorithm is characterized by comprising the following steps of: the method comprises the steps of receiving service demand information, setting corresponding assessment score index weights for the assessment score indexes of all posts based on departments, posts in the departments, assessment score indexes corresponding to the posts and assessment requirements in the service demand information, classifying posts with the same assessment score index as one type, integrating the assessment score indexes corresponding to the posts and the set assessment score index weights, and further generating one or more assessment score templates; The assessment scoring scheme creation step comprises the steps of receiving assessment demand information, definitely dividing assessment scoring main body categories based on assessed personnel in the assessment demand information, setting corresponding assessment scoring main body weights for each type of assessment scoring main body, determining corresponding assessment scoring personnel for each type of assessment scoring main body, automatically associating the corresponding assessment scoring templates, and further generating an assessment scoring scheme comprising the assessment scoring templates, the assessment scoring main body weights, the assessment scoring personnel and the assessed personnel; the assessment scoring step is that based on the assessment scoring scheme, a dedicated assessment scoring interface is generated for different assessment scoring personnel, scoring information of each assessment scoring index of each assessment scoring personnel for different assessed personnel in the assessment scoring interface is received, and the scoring information is stored in a database; The Z-Score standardized deep processing step is that the stored scoring information is retrieved from a database, and the average Score, standard deviation and standardized scoring result of each scoring index of each person to be examined are calculated step by each scoring person to be examined based on a Z-Score algorithm; And a Z-Score comprehensive Score calculation step, namely respectively calculating the Score of each assessment Score index of each assessed person under all assessment Score main body categories by utilizing a Z-Score algorithm based on each assessment Score main body weight, each assessment Score index weight and the standardized Score result, and further calculating the final comprehensive Score of each assessed person.
2. A method according to claim 1, wherein in the Z-Score normalization depth processing step, the retrieving the stored Score information from the database, for each of the assessment scoring personnel, calculating step by step an average Score, a standard deviation, and a normalized scoring result of the assessment scoring personnel for each of the assessed personnel based on a Z-Score algorithm includes: For each assessment scoring personnel, firstly calculating the average score of each assessment scoring index by the assessment scoring personnel by using the following formula: , Wherein, the Representing the average score of the ith assessment scoring personnel on the kth assessment scoring index, Representing the score of the ith assessment scoring personnel to the kth assessment scoring index of the jth assessed personnel, wherein n represents the number of the assessed personnel; and then the standard deviation of each assessment scoring index of the assessment scoring personnel is calculated by using the following formula: , Wherein, the Representing the standard deviation of the ith assessment scoring personnel for scoring the kth assessment scoring index; finally, calculating a standardized scoring result of the assessment scoring personnel on each assessment scoring index of each assessed personnel by using the following formula: , Wherein, the And (3) representing the standardized scoring of the ith assessment scoring personnel to the kth assessment scoring index of the jth assessed personnel.
3. A method according to claim 1 or 2, wherein in the step of calculating the Z-Score composite Score, the calculating the Score of each of the assessment Score indicators of each of the assessed persons under all the assessment Score subject categories using the Z-Score algorithm includes: firstly, calculating average score of each assessment scoring index of each assessment scoring personnel by using the following formula: , Wherein, the Representing the average score of the kth assessment score index of the kth assessment score subject on the jth assessed person, Representing the standardized scoring of the kth assessment scoring index of the jth assessed person by the jth assessment scoring personnel under the t-th assessment scoring main body; and then calculating the score of each assessment score index of each assessed person under each assessment score subject by using the following formula: , Wherein, the Representing the score of the kth subject of assessment score on the kth index of assessment score of the jth person under assessment, Representing the subject weight of the assessment score at t, Representing the t-th assessment score index weight; Then, the score of each assessment score index of each assessed person is calculated by using the following formula: , Wherein, the A total score of the kth assessment score index of the jth person to be assessed is represented, and T represents the total number of assessment score main body categories; and finally, aiming at each checked person, adding the scores of each check score index of the checked person to obtain the final comprehensive score of each checked person.
4. The method of claim 1, wherein in the step of creating the assessment score template, the received business requirement information further includes an assessment score indicator base score corresponding to each of the assessment score indicators, the assessment score indicator base score limiting a highest score scored by the assessment scoring personnel.
5. The method of claim 1, wherein in the step of creating the assessment scoring scheme, the corresponding assessment scoring template is located and called according to the assessment scoring template number included in the assessment demand information, and the assessment scoring main body, the assessment scoring personnel corresponding to the assessment scoring main body and the assessment scoring main body weight determined based on the assessment demand information are associated, so as to generate the assessment scoring scheme.
6. A method according to claim 5, wherein in the step of creating the assessment scoring plan, each of the assessment scoring subjects includes at least one of the assessment scoring personnel, each of the assessment scoring subjects corresponds to a different set of the assessed personnel, and the assessment scoring personnel can only score the assessed personnel to which the assessment scoring subject belongs.
7. A method according to claim 1, wherein in the assessment scoring step, when a dedicated assessment scoring interface for the assessment scoring personnel is generated, the assessment scoring personnel is retrieved from the list of assessed personnel, and if the assessment scoring personnel exists in the list of assessed personnel, the assessment scoring personnel is deleted from the list of assessed personnel.
8. A multi-evaluator assessment scoring system based on a Z-Score algorithm is characterized by comprising an assessment scoring template creation module, an assessment scoring scheme creation module, an assessment scoring module, a Z-Score standardized depth processing module and a Z-Score comprehensive Score calculation module which are sequentially connected, The assessment score template creation module is used for receiving the business requirement information, setting corresponding assessment score index weights for the assessment score indexes of all posts based on departments in the business requirement information, posts in the departments, the assessment score indexes corresponding to the posts and the assessment requirements, classifying posts with the same assessment score index, integrating the assessment score indexes corresponding to the posts and the set assessment score index weights, and further generating one or more assessment score templates; The assessment scoring scheme creation module is used for receiving assessment demand information, definitely dividing assessment scoring main body categories based on assessed personnel in the assessment demand information, setting corresponding assessment scoring main body weights for each type of assessment scoring main body, determining corresponding assessment scoring personnel for each type of assessment scoring main body, automatically associating the corresponding assessment scoring templates, and further generating an assessment scoring scheme comprising the assessment scoring templates, the assessment scoring main body weights, the assessment scoring personnel and the assessed personnel; The assessment scoring module is used for generating a dedicated assessment scoring interface for different assessment scoring staff based on the assessment scoring scheme, receiving scoring information of each assessment scoring staff for different assessed scoring indexes in the assessment scoring interface and storing the scoring information into a database; the Z-Score standardized deep processing module is used for retrieving the stored scoring information from the database, and calculating average scores, standard deviations and standardized scoring results of each scoring index of each person to be evaluated by the scoring personnel step by step based on a Z-Score algorithm for each scoring personnel to be evaluated; The Z-Score comprehensive Score calculation module calculates the Score of each assessment Score index of each assessed person under all assessment Score main body categories by utilizing a Z-Score algorithm based on each assessment Score main body weight, each assessment Score index weight and the standardized Score result, and calculates the final comprehensive Score of each assessed person.
9. The system of claim 8, wherein the retrieving the stored scoring information from the database in the Z-Score standardized depth processing module, for each of the assessment scoring personnel, calculating the average Score, standard deviation, and standardized scoring result of the assessment scoring personnel for each of the assessment scoring indicators of each of the assessed personnel step by step based on a Z-Score algorithm comprises: For each assessment scoring personnel, firstly calculating the average score of each assessment scoring index by the assessment scoring personnel by using the following formula: , Wherein, the Representing the average score of the ith assessment scoring personnel on the kth assessment scoring index, Representing the score of the ith assessment scoring personnel to the kth assessment scoring index of the jth assessed personnel, wherein n represents the number of the assessed personnel; and then the standard deviation of each assessment scoring index of the assessment scoring personnel is calculated by using the following formula: , Wherein, the Representing the standard deviation of the ith assessment scoring personnel for scoring the kth assessment scoring index; finally, calculating a standardized scoring result of the assessment scoring personnel on each assessment scoring index of each assessed personnel by using the following formula: , Wherein, the And (3) representing the standardized scoring of the ith assessment scoring personnel to the kth assessment scoring index of the jth assessed personnel.
10. A system according to claim 8 or 9, wherein in the Z-Score calculation module, the calculating, using a Z-Score algorithm, a Score of each of the assessment Score indicators of each of the assessed personnel under all assessment Score subject categories, respectively, includes: firstly, calculating average score of each assessment scoring index of each assessment scoring personnel by using the following formula: , Wherein, the Representing the average score of the kth assessment score index of the kth assessment score subject on the jth assessed person, Representing the standardized scoring of the kth assessment scoring index of the jth assessed person by the jth assessment scoring personnel under the t-th assessment scoring main body; and then calculating the score of each assessment score index of each assessed person under each assessment score subject by using the following formula: , Wherein, the Representing the score of the kth subject of assessment score on the kth index of assessment score of the jth person under assessment, Representing the subject weight of the assessment score at t, Representing the t-th assessment score index weight; Then, the score of each assessment score index of each assessed person is calculated by using the following formula: , Wherein, the A total score of the kth assessment score index of the jth person to be assessed is represented, T represents the total number of assessment score subject categories; and finally, aiming at each checked person, adding the scores of each check score index of the checked person to obtain the final comprehensive score of each checked person.

Description

Multi-evaluator assessment scoring method and system based on Z-Score algorithm Technical Field The invention relates to the technical field of human resource management and performance assessment, in particular to a multi-evaluator assessment scoring method and system based on a Z-Score algorithm. Background In many scenes needing to be scored, multiple evaluators are often involved in scoring the same object. Because of the differences of evaluation standards, subjective preferences and the like of different evaluators, the original scoring data has larger discreteness and incomparability, which seriously affects the accuracy and fairness of the scoring result. Most of the traditional assessment scoring methods simply carry out arithmetic average or weighted average on scores of a plurality of evaluators, and the method does not fully consider the difference of scoring scales among evaluators, so that the influence of subjective factors of the evaluators on scoring results cannot be effectively eliminated. For example, in enterprise employee performance assessment, the scoring criteria for employees by different department managers may be different, with some department managers scoring generally higher and some lower, and averaging these scores directly may lead to false positives on the actual performance of the employee. Therefore, the development of the method and the system capable of effectively eliminating the difference of the evaluator and improving the accuracy and the fairness of the assessment score has important practical significance. Disclosure of Invention In order to solve the problems that the traditional assessment scoring method does not fully consider the difference of scoring scales among the evaluators, cannot effectively eliminate the influence of subjective factors of the evaluators on scoring results, has more human intervention and low assessment efficiency, and the like, the invention provides a multi-evaluator assessment scoring method based on a Z-Score algorithm. The invention also relates to a multi-evaluator assessment scoring system based on the Z-Score algorithm. The technical scheme of the invention is as follows: a multi-evaluator assessment scoring method based on a Z-Score algorithm comprises the following steps: the method comprises the steps of receiving service demand information, setting corresponding assessment score index weights for the assessment score indexes of all posts based on departments, posts in the departments, assessment score indexes corresponding to the posts and assessment requirements in the service demand information, classifying posts with the same assessment score index as one type, integrating the assessment score indexes corresponding to the posts and the set assessment score index weights, and further generating one or more assessment score templates; The assessment scoring scheme creation step comprises the steps of receiving assessment demand information, definitely dividing assessment scoring main body categories based on assessed personnel in the assessment demand information, setting corresponding assessment scoring main body weights for each type of assessment scoring main body, determining corresponding assessment scoring personnel for each type of assessment scoring main body, automatically associating the corresponding assessment scoring templates, and further generating an assessment scoring scheme comprising the assessment scoring templates, the assessment scoring main body weights, the assessment scoring personnel and the assessed personnel; the assessment scoring step is that based on the assessment scoring scheme, a dedicated assessment scoring interface is generated for different assessment scoring personnel, scoring information of each assessment scoring index of each assessment scoring personnel for different assessed personnel in the assessment scoring interface is received, and the scoring information is stored in a database; The Z-Score standardized deep processing step is that the stored scoring information is retrieved from a database, and the average Score, standard deviation and standardized scoring result of each scoring index of each person to be examined are calculated step by each scoring person to be examined based on a Z-Score algorithm; And a Z-Score comprehensive Score calculation step, namely respectively calculating the Score of each assessment Score index of each assessed person under all assessment Score main body categories by utilizing a Z-Score algorithm based on each assessment Score main body weight, each assessment Score index weight and the standardized Score result, and further calculating the final comprehensive Score of each assessed person. Preferably, in the step of Z-Score standardization deep processing, the retrieving the stored Score information from the database, for each of the assessment scoring personnel, calculating, step by step, based on a Z-Score algorithm, average Score, standard