CN112365149A - Performance evaluation method, device, equipment and storage medium - Google Patents
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Abstract
The invention relates to the technical field of artificial intelligence, and provides a performance evaluation method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring evaluation information of a person to be evaluated; obtaining a standard performance index data set corresponding to each performance index data set according to the evaluation information; calculating a weight for each of the standard performance indicator data sets; a performance score calculated from the weight of each of the standard performance indicator data sets. The invention has the beneficial effects that: through the performance evaluation method, the corresponding performance index data set can be obtained according to the identity information of the person to be evaluated, the corresponding performance index data entropy value is calculated according to the performance index data set, and different weights are given to each performance index data according to the information entropy value to participate in calculation, so that the final calculation result can reflect the information value of the person to be evaluated, the evaluation person is not required to calculate, and a large amount of calculation time is saved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a performance evaluation method, a performance evaluation device, performance evaluation equipment and a storage medium.
Background
Currently, when a person to be evaluated is evaluated, a traditional calculation method uploads corresponding performance index data through each department or organization, then relevant persons collect and verify the authenticity of the data, and after the data collection is completed, corresponding performance scores are manually calculated according to different evaluation performance indexes. The traditional calculation method is time-consuming and labor-consuming, and the calculation accuracy is not high, so that a performance evaluation method is urgently needed, and the calculation of the performance score of the person to be evaluated can be efficiently completed.
Disclosure of Invention
The invention mainly aims to provide a performance evaluation method, a performance evaluation device, performance evaluation equipment and a storage medium, and aims to solve the problems of time and labor consumption of the traditional calculation method.
The invention provides a performance evaluation method, which comprises the following steps:
acquiring identity information of a person to be evaluated;
acquiring the evaluation information of the personnel to be evaluated according to the identity information;
acquiring a plurality of performance index data sets corresponding to different performance indexes and expected performance index data corresponding to each performance index data set according to the evaluation information; one performance index data set is composed of elements corresponding to numerical values of one performance index in different time periods;
according to the performance index data sets corresponding to the expected performance index data, carrying out standardization processing on each performance index data in each performance index data set to obtain a standard performance index data set corresponding to each performance index data set;
calculating information entropy values of the standard performance indicator data sets according to the standard performance indicator data of each standard performance indicator data set;
calculating the weight of each standard performance index data set according to the information entropy value of each standard performance index data set;
and calculating the performance score of the person to be evaluated according to the weight of each standard performance index data set.
Further, the step of obtaining the evaluation information of the person to be evaluated according to the identity information includes:
acquiring the post information of the personnel to be evaluated according to the identity information;
acquiring working information in a specified time period according to the post information;
characterizing the working information to obtain a plurality of first characteristic information;
judging whether the first characteristic information is contained in a preset evaluation data range;
and recording the first characteristic information contained in a preset evaluation data range as the evaluation information.
Further, the step of acquiring a plurality of performance indicator data sets corresponding to different performance indicators according to the evaluation information includes:
acquiring target characteristic information of the performance index data set according to the evaluation information;
judging the position information of each performance index data set according to the target characteristic information of the performance index data set;
and acquiring a corresponding performance index data set at a position corresponding to the position information through the sqoop script.
Further, after the step of calculating the performance score of the person to be evaluated according to the weight of each of the standard performance indicator data sets, the method further includes:
acquiring position state information of the personnel to be evaluated;
according to the formula
Calculating to obtain an equivalent score corresponding to the position state information; wherein value represents the equivalent score, z represents a parameter value corresponding to the position state information of the person to be evaluated, performance represents the performance score, and z is greater than or equal to 0 and less than or equal to 1;
and ranking according to the equivalent scores corresponding to the persons to be evaluated.
Further, after the step of acquiring a plurality of performance indicator data sets corresponding to different performance indicators according to the evaluation information, the method further includes:
according to the formula
Calculating an outlier of each performance indicator data; wherein ZijRepresents the abnormal value of the ith element in the jth performance indicator data set, and mu represents the average value of each element in the jth performance indicator data set, and
σ represents the standard deviation of j of the performance indicator data sets, and
xijrepresenting the ith element in the jth performance indicator data set;
will be provided with
Extracting corresponding performance index data, and extracting and comparing information of the performance index data, wherein
Is a set parameter value;
and if the comparison result is that the performance index data is wrong, replacing the correct performance index data with the performance index data.
Further, the step of calculating an information entropy value for each of the sets of standard performance indicator data based on the standard performance indicator data for each of the sets of standard performance indicator data includes:
according to the formula
Calculating an information entropy value for each of the standard performance indicator data sets, wherein
Wherein E isjRepresents the entropy of said information, when pjWhen 0, define
pjA ratio of the standard performance indicator data representing the jth of the standard performance indicator data sets to a total value of the standard performance indicator data of all standard performance indicator data sets, YjAnd the j standard performance index data corresponding to the standard performance index data set are represented.
The invention also provides a performance evaluation device, which comprises:
the identity information acquisition module is used for acquiring the identity information of the person to be evaluated;
the evaluation information acquisition module is used for acquiring the evaluation information of the personnel to be evaluated according to the identity information;
the performance index data set acquisition module is used for acquiring a plurality of performance index data sets corresponding to different performance indexes and expected performance index data corresponding to each performance index data set according to the evaluation information; one performance index data set is composed of elements corresponding to numerical values of one performance index data in different time periods;
the standardization processing module is used for standardizing each piece of performance index data in each performance index data set according to the expected performance index data corresponding to each performance index data set to obtain a standard performance index data set corresponding to each performance index data set;
the information entropy value calculation module is used for calculating the information entropy value of each standard performance index data set according to the standard performance index data of each standard performance index data set;
the weight calculation module is used for calculating the weight of each standard performance index data set according to the information entropy value of each standard performance index data set;
and the performance score calculation module is used for calculating the performance score of the person to be evaluated according to the weight of each standard performance index data set.
Further, the evaluation information obtaining module includes:
the post information acquisition submodule is used for acquiring the post information of the person to be evaluated according to the identity information;
the work information acquisition submodule is used for acquiring work information in a specified time period according to the post information;
the characterization submodule is used for characterizing the working information to obtain a plurality of first characteristic information;
the first characteristic information judgment submodule is used for judging whether the first characteristic information is contained in a preset evaluation data range;
and the evaluation information calculation submodule is used for recording the first characteristic information contained in a preset evaluation data range as the evaluation information.
The invention also provides a computer device comprising a memory storing a computer program and a processor implementing the steps of any of the above methods when the processor executes the computer program.
The invention also provides a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method of any of the above.
The invention has the beneficial effects that: through the performance evaluation method, the corresponding performance index data set can be obtained according to the identity information of the person to be evaluated, the corresponding performance index data entropy value is calculated according to the performance index data set, and different weights are given to each performance index data according to the information entropy value to participate in calculation, so that the final calculation result can reflect the information value of the person to be evaluated, the evaluation person is not required to calculate, and a large amount of calculation time is saved.
Drawings
FIG. 1 is a flow diagram of a method of performance assessment in accordance with an embodiment of the present invention;
FIG. 2 is a block diagram illustrating the structure of a method of performance assessment in accordance with an embodiment of the present invention;
fig. 3 is a block diagram illustrating a structure of a computer device according to an embodiment of the present application.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all directional indicators (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship between the components, the motion situation, etc. in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indicator is changed accordingly, and the connection may be a direct connection or an indirect connection.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
In addition, the descriptions related to "first", "second", etc. in the present invention are only for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a performance evaluation method, including:
s1: acquiring identity information of a person to be evaluated;
s2: acquiring the evaluation information of the personnel to be evaluated according to the identity information;
s3: acquiring a plurality of performance index data sets corresponding to different performance indexes and expected performance index data corresponding to each performance index data set according to the evaluation information; one performance index data set is composed of elements corresponding to numerical values of one performance index data in different time periods;
s4: according to the performance index data sets corresponding to the expected performance index data, carrying out standardization processing on each performance index data in each performance index data set to obtain a standard performance index data set corresponding to each performance index data set;
s5: calculating information entropy values of the standard performance indicator data sets according to the standard performance indicator data of each standard performance indicator data set;
s6: calculating the weight of each standard performance index data set according to the information entropy value of each standard performance index data set;
s7: and calculating the performance score of the person to be evaluated according to the weight of each standard performance index data set.
As described in the step S1, the identity information of the person to be evaluated is obtained, where the obtaining mode may be that the identity information is obtained from an identity information database in which the person to be evaluated is prestored in the system, or that the valid certificate of the person to be evaluated is pre-bound with the identity information thereof, and after the corresponding valid certificate is identified, the corresponding identity information is obtained from the identity database.
As described in the above step S2, different persons to be evaluated have different evaluation requirements and different evaluation items, that is, different evaluation information, and for the persons to be evaluated, a lot of work information is generated in the work process, but for different evaluation items, it only needs the corresponding performance index data, and therefore information for determining the required performance index data is needed, for example, the evaluation items of the sales chief such as: NBEV (embedded Value), NBEV over-planning Value, share change, annual market share, and the like, so that for different evaluation projects, only corresponding performance index data need to be acquired, and of course, performance index data corresponding to all the evaluation projects can be acquired, and then, corresponding performance index data can be acquired as needed, so that corresponding evaluation information needs to be acquired, and the evaluation information includes information corresponding to the performance index data that needs to be acquired.
As described in step S3, a corresponding performance index data set and corresponding expected performance index data are obtained in the corresponding platform or app according to the evaluation information, where the expected performance index data is a qualified standard value that is reached, the expected performance index data is a fixed value that is set in advance, elements in the performance index data set are numerical values included in different time periods, for example, the value of the performance index of each month, and of course, the time periods may also have year, week, quarter, and the like as minimum units.
As described in the above step S4, different performance indicators may reflect different situations of the person to be evaluated, and the amount of information that can be provided for some performance indicators with small variation degrees is small, and the amount of information that can be provided for performance indicators with high variation degrees is large, so that the performance indicator data sets are now standardized to obtain the standard performance indicator data set corresponding to each performance indicator data set, and then the standard performance indicator data set is used to calculate and determine whether the amount of information that the performance indicators respond to is sufficient; the specific calculation method can be according to the formula
Standardizing the corresponding performance index data sets to obtain a standard performance index data set corresponding to each performance index data set, wherein x0jRepresents the expected performance indicator data, min (x), corresponding to the jth performance indicator data setij) Denotes the jth saidThe element with the smallest value in the performance indicator data set, max (x)ij) Represents the element with the largest value in the jth performance indicator data set, YjThe performance indicator data of the j th performance indicator data set is represented.
As described above in step S5, the information entropy value of each of the standard performance indicator data sets is calculated based on the obtained standard performance indicator data sets. It should be understood that the larger the information entropy value is, the smaller the fluctuation degree of the performance index is, and the less information is reflected; the smaller the information entropy value is, the larger the fluctuation degree of the performance indicator is, and the more the information amount of the reaction is.
As described in step S6, the information entropy may be converted into a weight so that the final performance score may be calculated based on the weight and based on a formula
Calculating a weight for each of the standard performance indicator data sets, wherein WjAnd k represents the number of the standard performance index data sets.
As described in the above step S7, the final performance score is calculated by using the weight obtained according to the information entropy as the coefficient of each performance indicator score, and then each person to be evaluated is evaluated according to the final performance score, and the final performance score may be calculated according to a formula
Calculating the performance score of the person to be evaluated, and evaluating the person to be evaluated according to the performance score; wherein xijAnd c is a preset parameter value, and represents the ith element in the jth standard performance index data set.
In an embodiment, the step S2 of obtaining the evaluation information of the person to be evaluated according to the identity information includes:
s201: acquiring the post information of the personnel to be evaluated according to the identity information;
s202: acquiring working information in a specified time period according to the post information;
s203: characterizing the working information to obtain a plurality of first characteristic information;
s204: judging whether the first characteristic information is contained in a preset evaluation data range;
s205: and recording the first characteristic information contained in a preset evaluation data range as the evaluation information.
As described in the foregoing steps S201 to S205, the evaluation information of different persons to be evaluated may be directly set by the evaluator, but the evaluator does not necessarily know the work information of each person to be evaluated, so that the corresponding post information of the person to be evaluated may be obtained according to the identity information, then the work information within a specified time period that needs to be evaluated is obtained, and then the work information is characterized to obtain corresponding first feature information, that is, relevant information that can be used as an evaluation performance index is found according to the work information of the person to be evaluated. It should be noted that the first feature information does not include performance indicator data, but includes information that can obtain corresponding performance indicator data, and when the first feature information is within a preset evaluation data range, the corresponding first feature information can be recorded as evaluation information, and then the corresponding performance indicator data is obtained based on the first feature information.
In one embodiment, the step S3 of acquiring a plurality of performance indicator data sets corresponding to different performance indicators according to the evaluation information includes:
s301: acquiring target characteristic information of the performance index data set according to the evaluation information;
s302: judging the position information of each performance index data set according to the target characteristic information of the performance index data set;
s303: and acquiring a corresponding performance index data set at a position corresponding to the position information through the sqoop script.
As described in steps S301 to S303, since each performance indicator exists on a different platform, for example, an attendance indicator exists on an attendance platform, target characteristic information of each performance indicator data set can be obtained according to the evaluation information, and then platform position information of the performance indicator data set is determined according to the target characteristic information, where the platform position information is a platform on which the performance indicator data set exists, or a related database, and then a corresponding performance indicator data set is obtained on each platform through the sqoop script.
In one embodiment, after the step S7 of calculating the performance score of the person to be evaluated according to the weight of each of the standard performance indicator data sets, the method further includes:
s801: acquiring position state information of the personnel to be evaluated;
s802: according to the formula
Calculating to obtain an equivalent score corresponding to the position state information; wherein value represents the equivalent score, z represents a parameter value corresponding to the position state information of the person to be evaluated, performance represents the performance score, and z is greater than or equal to 0 and less than or equal to 1;
s803: and ranking according to the equivalent scores corresponding to the persons to be evaluated.
As described in the above steps S801 to S803, different evaluation rules exist for different positions, for example, the evaluation criteria of an intern who just enters the job is definitely different from the evaluation criteria of an official employee two years after entering the job, but when ranking them, the performance score needs to be further processed, so that a corresponding equivalent score can be calculated according to a formula, where z represents a parameter value corresponding to the position status information of the person to be evaluated, and the value of z is larger as the position is higher or the age of the job is longer. And then ranking the persons to be evaluated according to the calculated equivalent scores.
In one embodiment, after the step S3 of acquiring a plurality of performance indicator data sets corresponding to different performance indicators according to the evaluation information, the method further includes:
s401: according to the formula
Calculating an outlier of each performance indicator data; wherein ZijRepresents the abnormal value of the ith element in the jth performance indicator data set, and mu represents the average value of each element in the jth performance indicator data set, and
σ represents the standard deviation of j of the performance indicator data sets, and
xijrepresenting the ith element in the jth performance indicator data set;
s402: will be provided with
Extracting corresponding performance index data, and extracting information of the performance index data for comparison;
s403: and if the comparison result is that the performance index data is wrong, replacing the correct performance index data with the performance index data.
As described in the above steps S401 to S403, after the performance index data is acquired, it is necessary to calculate the abnormal value of each performance index data with respect to the acquired performance index data information, and when the abnormal value exceeds the set parameter value, it is considered that the performance index data is abnormal, and it is needless to say that there is no possibility that the abnormal value occurs in the performance index data, for example, a business department signs a large order in a certain month.
In one embodiment, the step S5 of calculating an information entropy value of each of the standard performance indicator data sets based on the standard performance indicator data of each of the standard performance indicator data sets includes:
s501: according to the formula
Calculating an information entropy value for each of the standard performance indicator data sets, wherein
Wherein E isjRepresents the entropy of said information, when pjWhen 0, define
pjA ratio of the standard performance indicator data representing the jth of the standard performance indicator data sets to a total value of the standard performance indicator data of all standard performance indicator data sets, YjAnd the j standard performance index data corresponding to the standard performance index data set are represented.
As described in step S501, the specific calculation manner may be according to the formula
Calculating the information entropy of each standard performance index data set, wherein the larger the information entropy is, the smaller the fluctuation degree of the performance index is, and the smaller the amount of information reflected is; the smaller the information entropy value is, the larger the fluctuation degree of the performance indicator is, and the more the information amount of the reaction is.
Referring to fig. 2, the present invention provides a performance evaluation apparatus, including:
the identity information acquisition module 10 is used for acquiring identity information of a person to be evaluated;
the evaluation information acquisition module 20 is configured to acquire evaluation information of the person to be evaluated according to the identity information;
a performance indicator data set acquiring module 30, configured to acquire, according to the evaluation information, a plurality of performance indicator data sets corresponding to different performance indicators and expected performance indicator data corresponding to each of the performance indicator data sets; one performance index data set is composed of elements corresponding to numerical values of one performance index data in different time periods;
the standardization processing module 40 is configured to standardize each performance index data in each performance index data set according to the expected performance index data corresponding to each performance index data set, so as to obtain a standard performance index data set corresponding to each performance index data set;
an information entropy calculation module 50, configured to calculate an information entropy of each of the standard performance indicator data sets according to the standard performance indicator data of each of the standard performance indicator data sets;
a weight calculation module 60, configured to calculate a weight of each standard performance indicator data set according to an information entropy of each standard performance indicator data set;
and the performance score calculating module 70 is used for calculating the performance score of the person to be evaluated according to the weight of each standard performance index data set.
The identity information of the personnel to be evaluated is acquired, wherein the acquisition mode can be that the identity information is acquired from an identity information database pre-stored in a system, or the effective certificate of the personnel to be evaluated and the identity information are bound in advance, and the corresponding identity information is acquired from the identity database after the corresponding effective certificate is identified.
Different persons to be evaluated have different evaluation requirements and different evaluation items, namely different evaluation information, while for the persons to be evaluated, a lot of work information is generated in the work process, but for different evaluation items, only corresponding performance index data is needed, so that information for determining the required performance index data is needed, for example, evaluation items of a sales chief such as: NBEV (embedded Value), NBEV over-planning Value, share change, annual market share, and the like, so that for different evaluation projects, only corresponding performance index data need to be acquired, and of course, performance index data corresponding to all the evaluation projects can be acquired, and then, corresponding performance index data can be acquired as needed, so that corresponding evaluation information needs to be acquired, and the evaluation information includes information corresponding to the performance index data that needs to be acquired.
And acquiring a corresponding performance index data set and corresponding expected performance index data in a corresponding platform or app according to the evaluation information, wherein the expected performance index data is a qualified standard value, the expected performance index data is a fixed value set in advance, elements in the performance index data set are numerical values included in different time periods, for example, the value of the performance index in each month, and the time periods can also take year, week, quarter and the like as minimum units.
Different performance indexes can reflect different conditions of the personnel to be evaluated, the quantity of information which can be provided by the performance indexes with small change degree is small, and the quantity of information which can be provided by the performance indexes with high change degree is large, so that the data sets of the performance indexes are standardized to obtain the standard performance index data set corresponding to each performance index data set, and then the standard performance index data set is used for calculating and judging whether the quantity of information of the performance index reaction is enough or not; the specific calculation method can be according to the formula
Standardizing the corresponding performance index data sets to obtain a standard performance index data set corresponding to each performance index data set, wherein x0jRepresents the expected performance indicator data, min (x), corresponding to the jth performance indicator data setij) Represents the element with the smallest value in the jth performance indicator data set, max (x)ij) Represents the element with the largest value in the jth performance indicator data set, YjThe performance indicator data of the j th performance indicator data set is represented.
And calculating the information entropy value of each standard performance index data set according to the obtained standard performance index data set. It should be understood that the larger the information entropy value is, the smaller the fluctuation degree of the performance index is, and the less information is reflected; the smaller the information entropy value is, the larger the fluctuation degree of the performance indicator is, and the more the information amount of the reaction is.
The information entropy value can be converted into the weight, so that the calculation can be carried out according to the weight and the formula when the performance score is finally calculated
Calculating a weight for each of the standard performance indicator data sets, wherein WjAnd k represents the number of the standard performance index data sets.
The weight obtained according to the information entropy is used as the coefficient of each performance index score, the final performance score is obtained by calculation, then each person to be evaluated is evaluated according to the final performance score, and the method for calculating the final performance score can be according to a formula
Calculating the performance score of the person to be evaluated, and evaluating the person to be evaluated according to the performance score; wherein xijAnd c is a preset parameter value, and represents the ith element in the jth standard performance index data set.
In one embodiment, the evaluation information obtaining module 20 includes:
the post information acquisition submodule is used for acquiring the post information of the person to be evaluated according to the identity information;
the work information acquisition submodule is used for acquiring work information in a specified time period according to the post information;
the characterization submodule is used for characterizing the working information to obtain a plurality of first characteristic information;
the first characteristic information judgment submodule is used for judging whether the first characteristic information is contained in a preset evaluation data range;
and the evaluation information calculation submodule is used for recording the first characteristic information contained in a preset evaluation data range as the evaluation information.
The evaluation information of different to-be-evaluated persons can be directly set by the evaluator, but the evaluator does not necessarily know the working information of each to-be-evaluated person, so that the corresponding post information of the to-be-evaluated person can be obtained according to the identity information, then the working information within a specified time period required to be evaluated is obtained, then the working information is characterized, and the corresponding first characteristic information is obtained, namely the relevant information which can be used as an evaluation performance index is found out according to the working information of the to-be-evaluated person. It should be noted that the first feature information does not include performance indicator data, but includes information that can obtain corresponding performance indicator data, and when the first feature information is within a preset evaluation data range, the corresponding first feature information can be recorded as evaluation information, and then the corresponding performance indicator data is obtained based on the first feature information.
In one embodiment, the performance indicator data set acquisition module 30 includes:
the target characteristic information acquisition submodule is used for acquiring target characteristic information of the performance index data set according to the evaluation information;
the position information judgment submodule is used for judging the position information of each performance index data set according to the target characteristic information of the performance index data set;
and the performance index data set acquisition submodule is used for acquiring a corresponding performance index data set at a position corresponding to the position information through the sqoop script.
Because each performance index exists on different platforms, for example, the attendance index exists on an attendance platform, the target characteristic information of each performance index data set can be obtained according to the evaluation information, then the platform position information of the performance index data set is judged according to the target characteristic information, wherein the platform position information is the platform of the performance index data set or a related database, and then the corresponding performance index data set is obtained on each platform through the sqoop script.
In one embodiment, the apparatus for performance assessment further comprises:
the position state information acquisition module is used for acquiring the position state information of the personnel to be evaluated;
an equivalent score calculating module for calculating the equivalent score according to the formula
Calculating to obtain an equivalent score corresponding to the position state information; wherein value represents the equivalent score, z represents a parameter value corresponding to the position state information of the person to be evaluated, performance represents the performance score, and z is greater than or equal to 0 and less than or equal to 1;
and the ranking module is used for ranking according to the equivalent scores corresponding to the persons to be evaluated.
For example, the evaluation criteria of a trainee who just enters the job are definitely different from the evaluation criteria of a formal employee two years after entering the job, but when ranking the trainee, the performance score needs to be further processed, so that a corresponding equivalent score can be calculated according to a formula, wherein z represents a parameter value corresponding to the job status information of the person to be evaluated, and the higher the job or the longer the year of entering the job, the larger the value of z is. And then ranking the persons to be evaluated according to the calculated equivalent scores.
In one embodiment, the apparatus for performance assessment further comprises:
an outlier calculation module to calculate a outlier based on the formula
Calculating an outlier of each performance indicator data; wherein ZijRepresenting the jth of said performance indicator datasetsThe outlier of the ith element in a portfolio, μ represents the average of each element in the jth performance indicator data set, and
σ represents the standard deviation of j of the performance indicator data sets, and
xijrepresenting the ith element in the jth performance indicator data set;
an extraction module for extracting
Extracting corresponding performance index data, and extracting information of the performance index data for comparison;
and the replacing module is used for replacing the correct performance index data with the performance index data if the comparison result is that the performance index data is wrong.
After the performance index data is acquired, abnormal values of the performance index data are calculated according to the acquired performance index data information, when the abnormal values exceed set parameter values, the performance index data can be considered to be abnormal, and the abnormal values of the performance index data are certainly not discharged, for example, a business department signs a large order in a certain month, but verification processing is needed on the data, the original data are compared in characteristics, and when the comparison is wrong, correct performance index data are replaced, so that the accuracy of the performance index data is ensured, and the result is closer to the real value.
In one embodiment, the information entropy calculation module 50 includes:
an information entropy calculation submodule for calculating an entropy according to a formula
Calculating an information entropy value for each of the standard performance indicator data sets, wherein
Wherein E isjRepresents the entropy of said information, when pjWhen 0, define
pjA ratio of the standard performance indicator data representing the jth of the standard performance indicator data sets to a total value of the standard performance indicator data of all standard performance indicator data sets, YjAnd the j standard performance index data corresponding to the standard performance index data set are represented.
The specific calculation mode can be according to the formula
Calculating the information entropy of each standard performance index data set, wherein the larger the information entropy is, the smaller the fluctuation degree of the performance index is, and the smaller the amount of information reflected is; the smaller the information entropy value is, the larger the fluctuation degree of the performance indicator is, and the more the information amount of the reaction is.
The invention has the beneficial effects that: through the performance evaluation method, the corresponding performance index data set can be obtained according to the identity information of the person to be evaluated, the corresponding performance index data entropy value is calculated according to the performance index data set, and different weights are given to each performance index data according to the information entropy value to participate in calculation, so that the final calculation result can reflect the information value of the person to be evaluated, the evaluation person is not required to calculate, and a large amount of calculation time is saved.
Referring to fig. 3, a computer device, which may be a server and whose internal structure may be as shown in fig. 3, is also provided in the embodiment of the present application. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store various performance indicator data and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, may implement the method of performance assessment described in any of the above embodiments.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is only a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects may be applied.
The embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for performance evaluation described in any of the above embodiments may be implemented.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware associated with instructions of a computer program, which may be stored on a non-volatile computer-readable storage medium, and when executed, may include processes of the above embodiments of the methods. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A method of performance assessment, comprising:
acquiring identity information of a person to be evaluated;
acquiring the evaluation information of the personnel to be evaluated according to the identity information;
acquiring a plurality of performance index data sets corresponding to different performance indexes and expected performance index data corresponding to each performance index data set according to the evaluation information; one performance index data set is composed of elements corresponding to numerical values of one performance index in different time periods;
according to the performance index data sets corresponding to the expected performance index data, carrying out standardization processing on each performance index data in each performance index data set to obtain a standard performance index data set corresponding to each performance index data set;
calculating information entropy values of the standard performance indicator data sets according to the standard performance indicator data of each standard performance indicator data set;
calculating the weight of each standard performance index data set according to the information entropy value of each standard performance index data set;
and calculating the performance score of the person to be evaluated according to the weight of each standard performance index data set.
2. The performance assessment method according to claim 1, wherein the step of obtaining assessment information of the person to be assessed based on the identity information comprises:
acquiring the post information of the personnel to be evaluated according to the identity information;
acquiring working information in a specified time period according to the post information;
characterizing the working information to obtain a plurality of first characteristic information;
judging whether the first characteristic information is contained in a preset evaluation data range;
and recording the first characteristic information contained in a preset evaluation data range as the evaluation information.
3. The method of performance assessment according to claim 1, wherein said step of obtaining a plurality of sets of performance indicator data corresponding to different performance indicators based on said assessment information comprises:
acquiring target characteristic information of the performance index data set according to the evaluation information;
judging the position information of each performance index data set according to the target characteristic information of the performance index data set;
and acquiring a corresponding performance index data set at a position corresponding to the position information through the sqoop script.
4. The method of performance assessment according to claim 1, wherein said step of calculating a performance score of a person under assessment according to the weight of each of said sets of standard performance indicator data further comprises:
acquiring position state information of the personnel to be evaluated;
according to the formula
Calculating to obtain an equivalent score corresponding to the position state information; wherein value represents the equivalent score, z represents a parameter value corresponding to the position state information of the person to be evaluated, performance represents the performance score, and z is greater than or equal to 0 and less than or equal to 1;
and ranking according to the equivalent scores corresponding to the persons to be evaluated.
5. The method of performance assessment according to claim 1, wherein said step of obtaining a plurality of sets of performance indicator data corresponding to different performance indicators based on said assessment information further comprises:
according to the formula
Calculating an outlier of each performance indicator data; wherein ZijRepresents the abnormal value of the ith element in the jth performance indicator data set, and mu represents the average value of each element in the jth performance indicator data set, and
σ represents the standard deviation of j of the performance indicator data sets, and
xijrepresenting the ith element in the jth performance indicator data set;
will | Zij|＞ZthrExtracting corresponding performance index data, and extracting and comparing information of the performance index data, wherein ZthrIs a set parameter value;
and if the comparison result is that the performance index data is wrong, replacing the correct performance index data with the performance index data.
6. The method of performance assessment according to claim 1, wherein said step of calculating an information entropy value for each of said sets of standard performance indicator data based on said standard performance indicator data for each of said sets of standard performance indicator data comprises:
according to the formula
Calculating an information entropy value for each of the standard performance indicator data sets, wherein
Wherein E isjRepresents the entropy of said information, when pjWhen 0, define
pjA ratio of the standard performance indicator data representing the jth of the standard performance indicator data sets to a total value of the standard performance indicator data of all standard performance indicator data sets, YjAnd the j standard performance index data corresponding to the standard performance index data set are represented.
7. An apparatus for performance assessment, comprising:
the identity information acquisition module is used for acquiring the identity information of the person to be evaluated;
the evaluation information acquisition module is used for acquiring the evaluation information of the personnel to be evaluated according to the identity information;
the performance index data set acquisition module is used for acquiring a plurality of performance index data sets corresponding to different performance indexes and expected performance index data corresponding to each performance index data set according to the evaluation information; one performance index data set is composed of elements corresponding to numerical values of one performance index data in different time periods;
the standardization processing module is used for standardizing each piece of performance index data in each performance index data set according to the expected performance index data corresponding to each performance index data set to obtain a standard performance index data set corresponding to each performance index data set;
the information entropy value calculation module is used for calculating the information entropy value of each standard performance index data set according to the standard performance index data of each standard performance index data set;
the weight calculation module is used for calculating the weight of each standard performance index data set according to the information entropy value of each standard performance index data set;
and the performance score calculation module is used for calculating the performance score of the person to be evaluated according to the weight of each standard performance index data set.
8. The performance assessment apparatus according to claim 7, wherein said assessment information acquisition module comprises:
the post information acquisition submodule is used for acquiring the post information of the person to be evaluated according to the identity information;
the work information acquisition submodule is used for acquiring work information in a specified time period according to the post information;
the characterization submodule is used for characterizing the working information to obtain a plurality of first characteristic information;
the first characteristic information judgment submodule is used for judging whether the first characteristic information is contained in a preset evaluation data range;
and the evaluation information calculation submodule is used for recording the first characteristic information contained in a preset evaluation data range as the evaluation information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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