CN111275323A - Performance distribution system based on confidence nonlinear weighting integration operator - Google Patents
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Abstract
The invention provides a performance distribution system based on a confidence nonlinear weighting integration operator. The system structure mainly comprises a block chain module, an intelligent contract module and a client module. The block chain module is used as the operation back end of the system and consists of a plurality of block chain link point servers; the intelligent contract module is set up and deployed in the block chain module, and the client module is a visual front-end interface using the system. The invention processes the performance evaluation data collected by the enterprise computer management system by applying the block chain technology to the enterprise management computer system, thereby realizing decentralized collection and decentralized processing of the performance evaluation data and realizing safer performance evaluation data storage.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a performance distribution system based on a confidence nonlinear weighting integration operator.
Background
In the existing enterprise management computer system, the evaluation of the enterprise performance is independently determined by a central node of the computer system by an enterprise leader, and the decentralization of the performance evaluation cannot be realized.
The existing performance evaluation data of the enterprise is stored in a single central node of an enterprise management computer system, and when a data safety accident occurs in the central node, the performance evaluation data of the enterprise is affected catastrophically, so that the safety is poor.
Disclosure of Invention
The invention aims to solve the problems that in the prior art, the performance evaluation centralization and the performance evaluation data of the enterprise computer management system are unsafe and easy to be distorted.
The invention provides a performance distribution system based on a confidence nonlinear weighting integration operator, which comprises a block chain module, an intelligent contract module and a client module.
Furthermore, the blockchain module is composed of a plurality of distributed blockchain computer nodes and used for storing data and a software running environment and used as a back-end server of the system.
Furthermore, the intelligent contract module is deployed in the block chain module, can realize five contract functions, and firstly, a performance examination and verification table is generated according to employee information input by an enterprise management department; secondly, the system is issued to a performance examination table of each employee and collected after the scoring is finished; thirdly, a statistical scoring table takes scoring data of performance assessment as input; fourthly, calling a confidence nonlinear weighting integration operator program to calculate a performance assessment score and compensation distribution amount; fifthly, storing the result data to the block chain.
Furthermore, the intelligent contract module is used for realizing a performance assessment mode for scoring the work contributions of other people among the employees, scoring the employees and automatically calculating the performance assessment scores and the salary distribution amount of each employee according to the final score of each employee.
Furthermore, the performance assessment process of each employee scoring others mutually scores according to various work attributes of other people in the work activities of enterprises, and selects a familiarity degree of the employee to be scored, namely the confidence degree, while scoring, so as to realize a multi-attribute assessment scoring mode under the confidence degree level.
Furthermore, the confidence level represents the familiarity degree of the scorer with the scored staff, the confidence level is divided into five levels which are respectively very familiar, common, unfamiliar and unfamiliar, the staff selects the confidence level of others at the client side while scoring, the five confidence levels respectively correspond to different confidence values, an enterprise can set by himself, and the sum of the five confidence level values is 1.
Further, the performance assessment score and the salary allocation amount of each employee are automatically calculated by calling a confidence nonlinear weighting integration operator program in the intelligent contract.
Furthermore, the operator can automatically calculate and process the score data in the performance checking table collected by the intelligent contract, the score obtained by each employee is subjected to nonlinear weighted integration of data according to the weight of the working attribute and the confidence level given by each scorer, the score of each scorer for a certain employee can be sequentially integrated to obtain a different score, the average score is calculated by using all the scores obtained by the employee and is used as the final performance checking score of the employee, and the score integration calculation formula of a scorer for a certain employee is as follows:
wherein the content of the first and second substances,
the staff with the number i is used as a scorer role to represent the score value after the confidence weighted average operator integration is carried out on the score made by the staff with the number 1, n represents the total n attributes of the work attributes which can be scored, and α is expressed in the formulaj(j-1, 2, … n) represents each attribute after multi-attribute decision scoringObtaining a fraction value; ω ═ ω (ω)1，ω2，…，ωn)TIs the weight of each attribute of the corresponding n attributes, and satisfies any omega of the conditionsj∈[0，1]And is and
the weight value of each attribute is set by an enterprise; in the formula I1iThe corresponding numerical value representing the confidence level given by the employee numbered i as the scorer when scoring the employee numbered 1 means the familiarity of the employee numbered i with the employee numbered 1 he is to score, where l1iE (0, 1). The scoring of each scorer on the employee is sequentially integrated by the same method, then the average score is calculated for all the scores to serve as the final performance assessment score of the employee, and the calculation process is as follows:
wherein S is1Representing the final performance assessment score for the employee numbered 1, m being the total number of scorers who scored the employee numbered 1,
the aggregate total of scores for all raters for employee number 1.
Furthermore, the amount of allocated salary is composed of two parts, the first part is performance wage, the second part is value view reward wage, and the amount allocation proportion of the two parts of salary can be set by enterprises.
Further, the performance wage is determined by the performance assessment score, the specific allocation method is to calculate the proportion of the performance assessment score of the employee to the total performance assessment score of all employees in the department, and allocate the budget amount of the performance wage of the enterprise according to the proportion, and the calculation formula is as follows:
wherein
The representative number is YjThe amount of performance wages allocated by the employee, S1Represents YjThe performance assessment score of the employee is determined,
the total sum of performance assessment scores of all employees in the department, M is the total amount of compensation budget of the enterprise in the month, n1Representing the proportion of performance wages to the total payroll budget amount.
Further, the value view reward payroll is used for rewarding staff who objectively and fairly evaluate the contribution made by others in work in the system.
Furthermore, the value view reward payroll distribution mode is that the value view reward payroll is distributed according to the grade operation weight value generated when each employee scores others, and after all employees complete scoring on all other employees, a grade weight value table can be obtained, and the grade weight value table comprises the following steps:
wherein, YiRepresenting staff of number i, Wi1The system represents a scoring weight value generated by scoring operation of the employee with the number of 1 by the employee with the number of i, the higher the weight value generated in the scoring operation is, the more fair the score is, the weight value of each employee when scoring can be calculated according to the performance assessment score of each employee, and the calculation formula of the scoring weight value is as follows:
wherein W1iThe representative staff with the number of 1 scores the staff with the number of i to obtain a scoring weight value;
the method is characterized in that the number of the employee with the number 1 is a scoring integrated value of the employee with the number i, and by analogy, each employee can calculate a scoring weight value after scoring another employee, and the calculation method of the value view reward wage is as follows:
wherein
Representing the value view award payroll assigned by employee number i, WijThe staff with the number j is scored for the staff with the number i to generate a scoring weight value,
represents the sum of the scoring weight values obtained by the employee; m is the total amount of compensation budget of the enterprise in this month, n2Represents the ratio of the value view reward payroll to the total compensation budget.
Further, the steps of executing the content of the intelligent contract module are as follows:
s1: the enterprise management department inputs the information of enterprise employees and the monthly allocated salary budget amount of the enterprise as input data, and the intelligent contract automatically generates a scoring table;
s2: the intelligent contract issues an employee rating table to each employee node, collects the rating data of each employee to other people and summarizes the data;
s3: calculating the performance assessment score of each employee by using a confidence nonlinear weighting integration operator, and distributing the amount of performance wages according to the performance assessment scores;
s4: calculating a grading operation weight value of each employee, and distributing value view reward wages according to the grading weight value of each employee;
s5: the allocation results are saved to the blockchain module.
Further, the client module is a visual front-end interface for connecting the user, the intelligent contract module and the rear end of the block chain, and is constructed by web3 and JavaScript.
Further, the specific operation steps of the system are as follows:
s1: the method comprises the steps that enterprise employee information and allocated salary budget amount are input into a client module, and an intelligent contract module automatically generates a scoring table with corresponding information;
s2: the intelligent contract module issues a scoring table to enterprise employees through the client module, the enterprise employees perform multi-attribute performance assessment scoring and confidence level selection on all employees in departments including the enterprise employees on a client interface, and after scoring, the enterprise employees send back the intelligent contract module through the client for summarizing;
s3: the intelligent contract module automatically calculates the performance assessment score and the scoring operation weight value of each employee by using the confidence nonlinear weighting integration operator, distributes the amount of performance wages according to the performance assessment score of each employee, and distributes value observation reward wages according to the scoring operation weight value;
s4: storing the final performance assessment score and the salary distribution result into a block chain module;
s5: and after the block chain data is further broadcast, node broadcasting is carried out, distributed consensus of performance distribution result data is realized, and each employee node can see a performance assessment score result and a compensation distribution result.
The invention has the advantages that the block chain technology is applied to the enterprise management computer system to process the performance evaluation data collected by the enterprise computer management system, thereby realizing decentralized collection and decentralized processing of the performance evaluation data and realizing safer performance evaluation data storage.
Drawings
FIG. 1 is a system architecture diagram of a performance assignment system based on confidence nonlinear weighted integration operators;
FIG. 2 is a table format of performance assessment scoring;
FIG. 3 is a table of scoring operation weights;
FIG. 4 is a flow chart of the operation of the system;
Detailed Description
The invention is further elucidated below, exemplary embodiments of the invention being described in more detail with reference to the appended drawings.
Performance allocation status: the performance distribution process can be mainly divided into two processes of performance assessment and compensation distribution. Performance allocation management is an important ring in enterprise management, good performance allocation can stimulate employees, and poor performance allocation can cause the enterprise to lose power. At present, the performance assessment and compensation distribution modes of most enterprises are difficult to fairly and fairly disclose. The phenomena that the leaders of enterprises control the performance distribution right and get better performance appraisal scores by asking the leaders are frequently rare due to too many emotional factors in the performance management process, so that the interior of the enterprises is unfair, and the employees lack the working enthusiasm. Therefore, the invention provides a performance assignment DApp system based on confidence level weighted integration operators, which applies the DApp technique in the blockchain to the performance assignment management of the enterprise. The enterprise employees can supervise each other and score the performances, contributions and the like of other people in work. And according to the scoring condition, automatically and intelligently analyzing and calculating the scoring condition by utilizing a confidence level weighting integration operator, and automatically distributing the salary of each employee. In this way, performance allocation is no longer a leader of the enterprise, but most employees of the enterprise jointly determine the work contribution of each employee and how much salary should be allocated, so that a more fair and open performance allocation management mode is realized, and employees can be encouraged to enjoy the contribution.
Block chains: a blockchain can be viewed as a decentralized distributed database. Data stored in the blockchain may be shared by nodes, i.e., devices participating in processing traffic in the blockchain, via a distributed, consistent protocol. And once the data enters the blockchain, each node on the blockchain can obtain the data, and each node has a blockchain copy, so that the data in the blockchain can be searched. Even if one node steals the data, the blockchain copies of other nodes can compare the hash values of the data in the blockchain to prove that the data is tampered. The value of the blockchain is to provide a safe, traceable, non-tamper-able and automatic execution computing platform, and can simultaneously prevent the security attack to data from the inside and the outside.
Confidence nonlinear weighted integration operator: the method is an algorithm for carrying out nonlinear integration on the intuitive fuzzy data, and a confidence level value is introduced on the basis of a nonlinear weighted integration (WN) operator, and the confidence level value is used for expressing the familiarity of a corresponding decision maker to the field of decision making in decision science. In the present system, confidence level values are used to measure the familiarity of the grader with the employee being graded. When the scoring person is familiar enough to the scored staff, the scoring of the staff is in a human condition, and when the scoring person is not familiar at all to the scored staff, the scoring is inaccurate. Therefore, when the system carries out scoring operation, the scorers can select the familiarity degree of the staff to be scored, and generate corresponding confidence degree values to make the scoring more fair.
Example one
The embodiment of the invention provides a performance distribution system based on a confidence nonlinear weighting integration operator, as shown in fig. 1 of the accompanying drawings, the system mainly comprises: the system comprises a block chain module, an intelligent contract module and a client module.
The block chain module is a distributed block chain link point server and a computer block chain environment, exists as the back end of the system, and is responsible for storing system data, operating the system environment and the like.
The intelligent contract module is deployed in the block chain module and can realize five contract functions, and firstly, a performance examination and verification table is generated according to employee information input by an enterprise management department; secondly, the system is issued to a performance examination table of each employee and collected after the scoring is finished; thirdly, a statistical scoring table takes scoring data of performance assessment as input; fourthly, calling a confidence nonlinear weighting integration operator program to calculate a performance assessment score and compensation distribution amount; fifthly, storing the result data to the block chain.
The intelligent dating date for the performance assessment scoring automatically generates one date according to the input enterprise employee informationAnd the evaluation table is sent to each enterprise employee node, and after the employee finishes evaluation, the evaluation table is sent back to the intelligent contract, and the intelligent contract is automatically summarized. Each employee is required to score various attributes generated by other employees (including himself) during daily activities. In this embodiment, it is assumed that there are three attributes, work product, work conscience, and friendliness to others of the company, respectively. Wherein the weight of the work product in these three attributes is 50%, the work integrity is 30%, the friendliness is 20%, and is represented as ωi＝(ω1，ω2，ω3) (0.5, 0.3, 0.2). Meanwhile, during scoring, the scoring person needs to select a confidence level of the scoring person for the scored employee, the confidence level represents the familiarity degree of the scoring person for the scored employee, and the confidence level is divided into five levels which are respectively very familiar, common, unfamiliar and very unfamiliar. When the scoring person is familiar enough to the scored staff, the scoring of the staff has human emotion factors, and when the scoring person is not familiar at all to the scored staff, the scoring is inaccurate. Thus, in an embodiment, the value of the confidence level, l, isiThe values are set to 0.15 (very familiar), 0.25 (familiar), 0.3 (general), 0.2 (unfamiliar), and 0.1 (very unfamiliar), respectively. The performance assessment scoring table format is shown in fig. 2 of the drawings.
The automatic performance assessment score calculation method comprises the steps of carrying out data nonlinear integration on data in a scoring table of each employee according to the weight of work attributes and the confidence level of each scorer, integrating scores of each scorer for a certain employee in sequence to obtain different scores, and calculating an average score by using all the scores obtained by the employee to serve as a final performance assessment score of the employee. In this embodiment, an example of the integrated calculation of selecting the employee with the number 2 as the role of the scorer to score the multi-attribute performance of the employee with the number 1 is as follows:
wherein the content of the first and second substances,
expressing the score value of the employee with the number 2 after the integration of a confidence weighted average operator for the multi-attribute score of the employee with the number 1 as a scoring role, wherein αj(α1，α2，α3) The set of (a) represents score values of the three attributes selected in the embodiment; ω ═ ω (ω)1，ω2，ω3)TIs a weight corresponding to three attributes, satisfies any of the conditionsj∈[0，1]And ω is1+ω2+ω3In the present embodiment, the weight of three attributes is set to ω 11＝0.5，ω2＝0.3，ω30.2; in the formula I12The system represents the confidence level value given when the employee with the number 2 is used as a scorer to score the employee with the number 1, and represents the familiarity degree of the scorer with the employee to be scored, wherein12E (0, 1), this example sets l12I.e., the scorer is familiar with the confidence level of the staff being scored, 0.25. The scoring of each scorer on the employee is sequentially integrated by the same method, then the average score is calculated for all the scores to serve as the final performance assessment score of the employee, and the calculation process is as follows:
wherein S is1Representing the final performance assessment score for the employee numbered 1, m being the total number of scorers who scored the employee numbered 1,
the aggregate total of scores for all raters for employee number 1.
The allocation method is to calculate the proportion of the performance appraisal score of the employee to the total performance appraisal score of all employees in the department, and allocate the budget amount of the enterprise performance wage according to the proportion, wherein the calculation formula is as follows:
wherein
Representing the amount of performance wage allocated by employee number 1, S1Representing the performance assessment score for the employee,
the total sum of performance assessment scores of all employees in the department, M is the total amount of compensation budget of the enterprise in the month, n1Representing the proportion of performance wages to the total payroll budget amount.
The value view awards wages to reward people who give a fair score for attributes such as work contributions of others, to encourage employees to honestly evaluate work contributions of others, and the like. The assignment mode is based on the level of the scoring operation weight value generated when each employee scores others, and after all employees complete scoring of all other employees, a scoring weight value table can be obtained, as shown in fig. 3 of the attached drawings. Wherein, YiRepresenting staff of number i, W1iThe representative number is 1, the staff with the number i carries out scoring operation to generate a scoring weight value, the higher the weight value generated in the scoring operation is, the more fair the scoring of the time is, the weight value of each staff when each staff carries out scoring can be calculated according to the performance assessment score of each staff, and the calculation formula of the scoring weight value is as follows:
wherein W1iThe representative staff with the number of 1 scores the staff with the number of i to obtain a scoring weight value;
is the score integration value of employee number 1 to employee number i. By the way of analogy, the method can be used,each employee can calculate a scoring weight value after scoring another employee. The calculation method of the value view reward wage is as follows:
wherein
Representing the value view award payroll, W, assigned by employee number 11jThe scoring weight value generated after scoring the employee number j for the employee number 1,
represents the sum of the scoring weight values received by the employee,
the total of the scoring weight values of all employees in the department of the enterprise, M is the total amount of compensation budget of the enterprise within the month, n2Represents the ratio of the value view reward payroll to the total compensation budget.
The client module is a visual front-end interface for connecting a user, the intelligent contract module and the bottom layer blockchain module, realizes communication transmission with the intelligent contract module and the blockchain module, and can be constructed by using a web3 environment and a JavaScript language.
The performance distribution system based on the confidence nonlinear weighting integration operator is characterized in that: the specific operation flow steps of the system are as follows:
the method comprises the following steps: the enterprise finance records employee information and allocates compensation budget amount, and the intelligent contract module automatically generates a scoring table with corresponding information;
step two: the intelligent contract module issues a scoring table to enterprise employees through the client module, the enterprise employees perform mutual multi-attribute scoring and confidence level selection on a client interface, and after scoring is finished, the enterprise employees send the scoring table back to the intelligent contract module through the client, and intelligent contracts are summarized;
step three: the intelligent contract module processes the scoring table by using the confidence nonlinear weighting integration operator, calculates the performance assessment score and the scoring operation weight value of each employee, and respectively calculates the performance wage compensation and the value view reward wage compensation amount which are required to be distributed by each employee according to the performance assessment score and the scoring operation weight value of each employee.
Step four: and the final performance distribution result is stored in the block chain module and is broadcast to each node in the private block chain, so that the performance distribution process is public and transparent.
Example two
In order to achieve the purpose, the invention adopts the following technical scheme: a performance allocation system based on a confidence nonlinear weighted integration operator, characterized by: the system is built by the following steps:
the method comprises the following steps: building a block chain environment and a distributed block chain link point server;
step two: creating an intelligent contract;
step three: compiling a performance assessment and distribution executive program based on a confidence nonlinear weighting integrated operator in an intelligent contract;
step four: deploying an intelligent contract into the blockchain module;
step five: compiling a client interface, and designing communication transmission between the client interface and the intelligent contract module and between the client interface and the block chain module;
step six: the combination of the blockchain module, the intelligent contract module and the client is a complete decentralized performance distribution system.
The block chain module exists as a back-end server of the system, is responsible for data storage, network communication, intelligent contract operation and the like of the system, is built by using a Golang programming language, and enables computers of enterprises to become distributed node servers in block chains.
The intelligent contract creation is realized through a solid programming language.
The performance assessment and distribution executive program based on the confidence nonlinear weighting integration operator is characterized by comprising the following process steps:
the method comprises the following steps: the enterprise management department takes the information of the enterprise employees and the monthly allocated salary budget amount of the enterprise as input, and the intelligent contract program automatically generates a scoring table;
step two: collecting the scoring table after scoring by the intelligent contract program, and summarizing;
step three: processing the data in the scoring table by using a confidence nonlinear weighting integration operator, and calculating the performance assessment score of each employee so as to distribute performance salary;
step four: calculating a scoring operation weight value in the scoring process of each employee so as to distribute value view reward payroll;
step five: saving the result data to a block chain module;
in the scoring table, each employee needs to score various attributes of other employees (including the employee) generated in daily work activities, and the familiarity degree of the person to be scored is selected as a confidence level numerical value.
The method comprises the following steps of processing data in a scoring table by using a confidence nonlinear weighting integration operator, carrying out nonlinear data integration on scores obtained by each employee according to the weight of a working attribute and the confidence of each scorer, integrating scores of each scorer for a certain employee in sequence to obtain different scores, calculating an average score by using all the scores obtained by the employee to serve as a final performance assessment score of the employee, wherein the scoring integration calculation formula of one scorer for the certain employee is as follows:
wherein the content of the first and second substances,
indicating that employee number i makes a scorer role for employee number 1The score of the system is subjected to a score value after confidence weighted average operator integration, n represents n attributes in total of the working attributes which can be scored, wherein αj(j ═ 1, 2, … n) represents the score value for each attribute after multi-attribute decision scoring; ω ═ ω (ω)1，ω2，…，ωn)TIs the weight of each attribute of the corresponding n attributes, and satisfies any omega of the conditionsj∈[0，1]And is and
the weight value of each attribute is set by an enterprise; in the formula I1iA numerical value of the confidence level given when the employee with the number i scores the employee with the number 1 as a scorer represents the familiarity of the employee with the number i with the employee with the number 1 he is to score, wherein l1iE (0, 1). The scoring of each scorer on the employee is sequentially integrated by the same method, then the average score is calculated for all the scores to serve as the final performance assessment score of the employee, and the calculation process is as follows:
wherein S is1Representing the final performance assessment score for the employee numbered 1, m being the total number of scorers who scored the employee numbered 1,
the aggregate total of scores for all raters for employee number 1.
The allocation of the performance wage compensation is determined by the performance appraisal scores of the employees, the specific allocation method is to calculate the proportion of the performance appraisal scores of the employees to the total performance appraisal scores of all the employees in the department, and the budget amount of the enterprise performance wage is allocated according to the proportion, and the calculation formula is as follows:
wherein
The representative number is YjThe amount of performance wages allocated by the employee, SjRepresents YjThe performance assessment score of the employee is determined,
the total sum of performance assessment scores of all employees in the department, M is the total amount of compensation budget of the enterprise in the month, n1Representing the proportion of performance wages to the total payroll budget amount.
The value view awards payroll, is used to award people who give fair scores to attributes such as work contributions of others, and is used to encourage employees to honestly evaluate work contributions of others, and the like. The distribution mode is that the distribution is carried out according to the scoring operation weight value generated when each employee scores others, and after all employees complete scoring on all other employees, a scoring weight value table can be obtained, which is as follows:
wherein, YiRepresenting staff of number i, Wi1The system represents a scoring weight value generated by scoring operation of the employee with the number of 1 by the employee with the number of i, the higher the weight value generated in the scoring operation is, the more fair the score is, the weight value of each employee when scoring can be calculated according to the performance assessment score of each employee, and the calculation formula of the scoring weight value is as follows:
wherein W1iThe representative staff with the number of 1 scores the staff with the number of i to obtain a scoring weight value; CIWNsi1Is the score integration value of employee number 1 to employee number i. By analogy, each employee can count the other employee after scoringA scoring weight value is calculated. The calculation method of the value view reward wage is as follows:
wherein
Representing the value view award payroll assigned by employee number i, WijThe staff with the number j is scored for the staff with the number i to generate a scoring weight value,
represents the sum of the scoring weight values obtained by the employee; m is the total amount of compensation budget of the enterprise in this month, n2Represents the ratio of the value view reward payroll to the total compensation budget.
Preferably, the interface of the client module can be constructed by using a web3 environment and a JavaScript language.
And (4) registering the enterprise staff on the client interface to form a node in the block chain and use the system.
The performance distribution system based on the confidence nonlinear weighting integration operator is characterized in that: the specific operation flow steps of the system are as follows:
the method comprises the following steps: the enterprise finance records employee information and allocates compensation budget amount, and the intelligent contract module automatically generates a scoring table with corresponding information;
step two: the intelligent contract module issues a scoring table to enterprise employees through the client module, the enterprise employees perform mutual multi-attribute scoring and confidence level selection on a client interface, and after scoring is finished, the enterprise employees send the scoring table back to the intelligent contract module through the client, and intelligent contracts are summarized;
step three: the intelligent contract module processes the scoring table by using the confidence nonlinear weighting integration operator, calculates the performance assessment score and the scoring operation weight value of each employee, and respectively calculates the performance wage compensation and the value view reward wage compensation amount which are required to be distributed by each employee according to the performance assessment score and the scoring operation weight value of each employee.
Step four: and the final performance distribution result is stored in the block chain module and is broadcast to each node in the private block chain, so that the performance distribution process is public and transparent.
EXAMPLE III
In this embodiment, the calculation of the performance payroll and the value view reward payroll amounts is the same as in the first embodiment or the second embodiment.
The sum of the performance payroll and the value view reward payroll amounts constitutes the total compensation payroll for the employee.
In the embodiment, the distributed server is connected with a mobile intelligent terminal carried by the staff through the Internet, and the mobile intelligent terminal is provided with a gps module for acquiring the position information of the staff in real time and sending the position information to an intelligent contract module;
and the intelligent contract module acquires the actual attendance days of the staff according to the position information of the staff.
The intelligent contract module obtains the final total compensation salary of the employee by adopting the following formula.
The final total remuneration is the actual number of days/days that should be attended.
The intelligent contract module acquires the actual attendance days of the employees according to the position information of the employees, and specifically, when the position information of the whole day working time of the employees is superposed with the position information of the companies, the attendance of the employees on the day is judged.
According to the technical scheme, the technical problem of how to accurately calculate the paying salary of the employee to the center is solved, the technical means that the position information is collected and calculated through the mobile terminal and the natural law is followed are utilized, and the technical effects of accurately judging the number of the attendance days of the employee and calculating the paying salary to the center are achieved.
Finally, the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting, and other modifications or equivalent substitutions made by the technical solutions of the present invention by those of ordinary skill in the art should be covered within the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solutions of the present invention.
Claims (15)
1. A performance distribution system based on a confidence nonlinear weighting integration operator is mainly characterized in that system structure hardware is composed of a block chain module, and software is composed of an intelligent contract module and a client module.
2. The system according to claim 1, wherein said blockchain module comprises a plurality of distributed blockchain computer nodes for storing data and software operating environment as a backend server of the system.
3. The performance distribution system based on the confidence nonlinear weighting integration operator as claimed in claim 1, wherein the intelligent contract module is deployed in the blockchain module, can realize five contract functions, and generates a performance examination table according to employee information entered by an enterprise management department; secondly, the system is issued to a performance examination table of each employee and collected after the scoring is finished; thirdly, a statistical scoring table takes scoring data of performance assessment as input; fourthly, calling a confidence nonlinear weighting integration operator program to calculate a performance assessment score and compensation distribution amount; fifthly, storing the result data to the block chain.
4. The system of claim 1, wherein the intelligent contract module is configured to implement a performance assessment method for employees to score their work contributions, and also to score themselves, and then automatically calculate the performance assessment score and compensation allocation amount of each employee according to the final score of each employee.
5. The intelligent contract module according to claim 4, wherein the performance assessment process of each employee scoring others is to score according to various work attributes of others in the work activities of the others in the enterprise, and select a familiarity degree of the employee to be scored, called confidence degree, while scoring, so as to realize a multi-attribute assessment scoring mode under the confidence degree level.
6. The performance assessment process according to claim 5, wherein said confidence level represents the familiarity of the scoring person with the scored employee, the confidence level is divided into five levels, which are respectively very familiar, general, unfamiliar and unfamiliar, the employee can select the confidence level of others at the client while scoring, the five confidence levels respectively correspond to different confidence values, the enterprise can set the confidence level by itself, and the sum of the five confidence level values is 1.
7. The intelligent contract module of claim 4, wherein the performance assessment score and the salary allocation amount for each employee are automatically calculated by invoking a confidence nonlinear weighted integration operator program in the intelligent contract.
8. The confidence nonlinear weighted integration operator according to claim 7, wherein the operator can automatically perform calculation processing on score data in a performance review table collected by an intelligent contract, the score obtained by each employee is subjected to nonlinear weighted integration of the data according to the weight of the working attribute and the confidence level given by each scorer, each scorer can sequentially integrate the score of a certain employee to obtain a different score, and then all the scores obtained by the employee are used for calculating an average score as the final performance assessment score of the employee, and the score integration calculation formula of a scorer on a certain employee is as follows:
wherein the content of the first and second substances,
the staff with the number i is used as a scorer role to represent the score value after the confidence weighted average operator integration is carried out on the score made by the staff with the number 1, n represents the total n attributes of the work attributes which can be scored, and α is expressed in the formulaj(j ═ 1, 2, … n) represents the score value for each attribute after multi-attribute decision scoring; ω ═ ω (ω)1，ω2，…，ωn)TIs the weight of each attribute of the corresponding n attributes, and satisfies any omega of the conditionsj∈[0，1]And is and
the weight value of each attribute is set by an enterprise; in the formula I1iThe corresponding numerical value representing the confidence level given by the employee numbered i as the scorer when scoring the employee numbered 1 means the familiarity of the employee numbered i with the employee numbered 1 he is to score, where l1iE (0, 1). The scoring of each scorer on the employee is sequentially integrated by the same method, then the average score is calculated for all the scores to serve as the final performance assessment score of the employee, and the calculation process is as follows:
wherein S is1Representing the final performance assessment score for the employee numbered 1, m being the total number of scorers who scored the employee numbered 1,
the aggregate total of scores for all raters for employee number 1.
9. The intelligent contract module of claim 4, wherein the amount of allocated payroll is composed of two parts, the first part is performance wage, the second part is value reward wage, and the allocation ratio of the two parts of payroll can be set by enterprises.
10. The payroll allocation amount of claim 9 wherein the performance wage is determined by performance assessment scores, the specific allocation method is to calculate the ratio of the performance assessment score of the employee to the total performance assessment score of all employees in the department, and allocate the budget amount of the enterprise performance wage according to the ratio, and the calculation formula is as follows:
wherein
The representative number is YjThe amount of performance wages allocated by the employee, S1Represents YjThe performance assessment score of the employee is determined,
the total sum of performance assessment scores of all employees in the department, M is the total amount of compensation budget of the enterprise in the month, n1Representing the proportion of performance wages to the total payroll budget amount.
11. The payroll allocation according to claim 9 wherein said value view reward payroll is used in the system to reward employees who make an objective fair assessment of the contribution of others at work.
12. The payroll allocation amount according to claim 9, wherein the value view reward payroll is allocated according to the level of the scoring operation weight value generated when each employee scores others, and a scoring weight value table is obtained after all employees complete scoring all others, as follows:
wherein, YiRepresenting staff of number i, Wi1The system represents a scoring weight value generated by scoring operation of the employee with the number of 1 by the employee with the number of i, the higher the weight value generated in the scoring operation is, the more fair the score is, the weight value of each employee when scoring can be calculated according to the performance assessment score of each employee, and the calculation formula of the scoring weight value is as follows:
wherein W1iThe representative staff with the number of 1 scores the staff with the number of i to obtain a scoring weight value;
the method is characterized in that the number of the employee with the number 1 is a scoring integrated value of the employee with the number i, and by analogy, each employee can calculate a scoring weight value after scoring another employee, and the calculation method of the value view reward wage is as follows:
wherein
Representing the value view award payroll assigned by employee number i, WijThe staff with the number j is scored for the staff with the number i to generate a scoring weight value,
represents the sum of the scoring weight values obtained by the employee; m is the total amount of compensation budget of the enterprise in this month, n2Awarding payroll to total compensation budget on behalf of view of valueAnd (4) proportion.
13. The system according to claim 1, wherein the intelligent contract module executes the following steps:
s1: the enterprise management department inputs the information of enterprise employees and the monthly allocated salary budget amount of the enterprise as input data, and the intelligent contract automatically generates a scoring table;
s2: the intelligent contract issues an employee rating table to each employee node, collects the rating data of each employee to other people and summarizes the data;
s3: calculating the performance assessment score of each employee by using a confidence nonlinear weighting integration operator, and distributing the amount of performance wages according to the performance assessment scores;
s4: calculating a grading operation weight value of each employee, and distributing value view reward wages according to the grading weight value of each employee;
s5: the allocation results are saved to the blockchain module.
14. The system of claim 1, wherein the client module is a visual front-end interface connecting a user, an intelligent contract module and a block chain back end, and is constructed by web3 and JavaScript.
15. The performance distribution system based on the confidence nonlinear weighted integration operator as claimed in claim 1, wherein the system specifically operates by the steps of:
s1: the method comprises the steps that enterprise employee information and allocated salary budget amount are input into a client module, and an intelligent contract module automatically generates a scoring table with corresponding information;
s2: the intelligent contract module issues a scoring table to enterprise employees through the client module, the enterprise employees perform multi-attribute performance assessment scoring and confidence level selection on all employees in departments including the enterprise employees on a client interface, and after scoring, the enterprise employees send back the intelligent contract module through the client for summarizing;
s3: the intelligent contract module automatically calculates the performance assessment score and the scoring operation weight value of each employee by using the confidence nonlinear weighting integration operator, distributes the amount of performance wages according to the performance assessment score of each employee, and distributes value observation reward wages according to the scoring operation weight value;
s4: storing the final performance assessment score and the salary distribution result into a block chain module;
s5: and after the block chain data is further broadcast, node broadcasting is carried out, distributed consensus of performance distribution result data is realized, and each employee node can see a performance assessment score result and a compensation distribution result.
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