CN105469208A - Employee training evaluation system based on fuzzy integrated evaluation method - Google Patents
Employee training evaluation system based on fuzzy integrated evaluation method Download PDFInfo
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- CN105469208A CN105469208A CN201510819908.XA CN201510819908A CN105469208A CN 105469208 A CN105469208 A CN 105469208A CN 201510819908 A CN201510819908 A CN 201510819908A CN 105469208 A CN105469208 A CN 105469208A
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- 238000011156 evaluation Methods 0.000 title claims abstract description 80
- 238000013210 evaluation model Methods 0.000 claims abstract description 17
- 238000013441 quality evaluation Methods 0.000 claims abstract description 7
- 239000011159 matrix material Substances 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 5
- 235000017166 Bambusa arundinacea Nutrition 0.000 claims description 3
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- 230000010354 integration Effects 0.000 abstract description 2
- 230000007812 deficiency Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
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Abstract
The invention provides an employee training evaluation system based on a fuzzy integrated evaluation method. Through analyzing of employee integration quality evaluation indexes, multi-layered evaluation indexes are acquired, wherein the indexes mainly comprise psychological quality, a working attitude, professional quality and capability quality. And then the fuzzy integrated evaluation method is used to establish an evaluation model so that a final evaluation result is acquired.
Description
Technical field
Belong to staff training management domain, be specifically related to a staffs training evaluation system based on Fuzzy Comprehensive Evaluation.
Background technology
At present, the examination system of Guo Wang Nantong electric company is comprehensive training examination system, and employee can online or offline examination.In order to objective, accurately, intactly evaluation is made to the overall qualities of employee, must filter out can the evaluation index of comprehensive, multi-angle reflection employee overall qualities, reflects the hierarchical structure of its multiple index evaluation.Therefore, in the urgent need to designing and developing a set of configurable synthesis quality evaluation system of flexibility that can adapt to different demand.
Synthetic Quality Evaluation System can be evaluated the overall qualities of employee, makes employee, can obtain comprehensive, comprehensive feedback information, also the quality that each employee can see clearly oneself is convenient to, understand oneself advantage and deficiency, bring out one's strengths to make up for one's weaknesses in practice, better that teaching display stand develops.On the other hand, can also enterprise-level integration be carried out, through by with company SG-ERP, realize the unified management that the overall qualities of different post employee are examined, effectively promote company information level.
Summary of the invention
In order to make up the deficiencies in the prior art, the invention provides a kind of staffs training evaluation system based on Fuzzy Comprehensive Evaluation.
Problem to be solved by this invention realizes by following technical solution:
Based on the staffs training evaluation system of Fuzzy Comprehensive Evaluation, to employee's Actuality Characteristic, extract the principal element affecting employee's overall qualities and evaluate, thus set up multi-level evaluation index, wherein, each first class index can be divided into 3 two-level index, then the leading indicator of the evaluation standard of employee's overall qualities is:
(1) psychological quality (
): comprise self-assessment (
), setback attitude (
), interpersonal relation harmony (
);
(2) working attitude (
): comprise professional dedication (
), sense of responsibility (
), sense of discipline (
);
(3) specialized capability (
): comprise academic result (
), put into practice achievement (
), honor reward (
);
(4) ability quality (
): comprise innovation ability (
), the ability of practice (
), management ability (
);
Utilize Fuzzy Comprehensive Evaluation to set up evaluation model, and arrange weights by certain method, thus obtain final appraisal results, evaluation model is as follows:
Step 1: establish first class index set of factors;
If
, wherein
be respectively the index of staff quality evaluation, provide each evaluation index respective weights simultaneously, be set to
, meet
,
, wherein
expression factor
influence degree in comprehensive evaluation;
Step 2: evaluation indice is subdivided into two-level appraisement index factor collection;
Be set to
, determine the weight of secondary index simultaneously, be set to
, and carry out ranking, be set to 4 grades, namely
=(excellent, good, in, poor); The grade evaluation result of each two-level index of last bamboo product,
=comment these level number/estimator's number (i=1,2,3,4; J=1,2,3,4);
Step 3: set up single factor evaluation matrix
, and right
carry out comprehensive evaluation, its evaluation of estimate is
:
=(
)
Step 4: by synthetic evaluation matrix
, calculate comprehensive evaluation value B;
(
)
Step 5: comprehensive evaluation result calculates;
According to maximum subjection principle in fuzzy mathematics or the cumulative more than half principle of degradation, employee's overall qualities can draw comprehensive evaluation result; As
in some
(i=1,2,3,4) more than 0.5, then make grade evaluation according to maximum subjection principle, otherwise will above level down first-class backward grade add up, till being added to more than 0.5, finally pass judgment on according to maximum subjection principle more always;
Step 6: calculate fuzzy overall evaluation ranking value;
Except can drawing opinion rating, also can utilize as drag calculates fuzzy overall evaluation ranking value W:
in formula,
for
transposed matrix,
for the right-hand member point value that " excellent " is interval,
,
,
be respectively " good ", " in ", " poor " interval midrange;
By evaluation model, set up evaluating system;
(1), personal management:
A) management of system registry user, is realized: from SG-ERP, obtain personnel's essential information, comprising: name, sex, age, unit, identification card number, post, specialty;
B) differentiated control of authority, is provided: the differentiated control that authority is provided; Each organizational structure can distribute respective system manager, all departments keeper, and wherein, all departments supvr can evaluate the working attitude of employee, ability quality;
C), the door of system and company and cooperative office system carry out through, realizes single-sign-on function;
(2), item bank management:
Realize system centre reason quality assessment exam pool, working attitude test and appraisal exam pool, specialized capability test and appraisal exam pool; Psychological quality test and appraisal exam pool relates to self-assessment, setback attitude and interpersonal relation; Working attitude test and appraisal exam pool relates to professional dedication, sense of responsibility, sense of discipline; Specialized capability relates to academic result; For specialty topic, will can often occur that the topic of mistake adds mark, system will strengthen in training by the probability be extracted at random;
(3), training test and appraisal information management:
A), realize the unified management of training test and appraisal information, form staffs training test and appraisal archives; Training test and appraisal packets of information to the evaluation of employee, mainly comprises psychological quality, working attitude, ability quality containing all departments supvr, and the achievement of employee comprises psychological quality achievement, academic result, put into practice the honor that achievement and employee obtain rewards;
B), by training test and appraisal information with employee be associated and be automatically sent to SG-ERP, the training test and appraisal situation of employee can be grasped timely, convenient, all sidedly;
(4), comprehensive statistics and analysis:
A), comprehensive inquiry facilitates user to inquire about test and appraisal achievement; Managerial personnel can inquire about the training test and appraisal information of affiliated organizational structure employee; Statistical study can be carried out to training evaluating result, according to index, calculate grade and the overall qualities achievement of employee with evaluation model, and to overall qualities marks sequencing;
B), for the comprehensive statistics of score management, according to employee name, unit, specialty, total performance, the grade of employee is added up; Employee can check oneself grade and overall ranking;
C), manual configuration and the automatic generation function of statistical report form can be realized according to different demand, different statistics can be responded fast and analyze bore;
D), comprehensive statistics and analysis result all can export to Word or Excel.
The present invention, by analyzing the index of the Employee Survey method based on Fuzzy Comprehensive Evaluation, obtains multi-level evaluation index, mainly can be divided into psychological quality, working attitude, specialized capability, ability quality.Then utilize Fuzzy Comprehensive Evaluation to set up evaluation model, thus obtain final appraisal results.Finally, according to evaluation model, set up Employee Survey system.
Accompanying drawing explanation
Fig. 1 employee's overall qualities assessment indicator system;
Fig. 2 Synthetic Quality Evaluation System architecture.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with accompanying drawing and case study on implementation, the present invention is in depth described in detail.Should be appreciated that concrete case study on implementation described herein is only in order to explain the present invention, and be not used in restriction invention.
As shown in Figure 1, this system, for employee's Actuality Characteristic, extracts the principal element affecting employee's overall qualities and evaluate, thus set up multi-level evaluation index, wherein, each first class index can be divided into 3 two-level index, then the leading indicator of the evaluation standard of employee's overall qualities is:
(1) psychological quality (
): comprise self-assessment (
), setback attitude (
), interpersonal relation harmony (
);
(2) working attitude (
): comprise professional dedication (
), sense of responsibility (
), sense of discipline (
);
(3) specialized capability (
): comprise academic result (
), put into practice achievement (
), honor reward (
);
(4) ability quality (
): comprise innovation ability (
), the ability of practice (
), management ability (
);
Utilize Fuzzy Comprehensive Evaluation to set up evaluation model, and by certain method, weights are arranged, thus obtain final appraisal results.Evaluation model is as follows:
Step 1: establish first class index set of factors.
If
, wherein
be respectively the index of staff quality evaluation, provide each evaluation index respective weights simultaneously, be set to
, meet
,
, wherein
expression factor
influence degree in comprehensive evaluation.
Step 2: evaluation indice is subdivided into two-level appraisement index factor collection.
Be set to
, determine the weight of secondary index simultaneously, be set to
.And carry out ranking, be set to 4 grades, namely
=(excellent, good, in, poor).The grade evaluation result of each two-level index of last bamboo product,
=comment these level number/estimator's number (i=1,2,3,4; J=1,2,3,4).
Step 3: set up single factor evaluation matrix
, and right
carry out comprehensive evaluation, its evaluation of estimate is
:
=(
)
Step 4: by synthetic evaluation matrix
, calculate comprehensive evaluation value B.
(
)
Step 5: comprehensive evaluation result calculates.
According to " maximum subjection principle " in fuzzy mathematics or " the cumulative more than half principle of degradation ", employee's overall qualities can draw comprehensive evaluation result.As
in some
(i=1,2,3,4) more than 0.5, then can make grade evaluation according to " maximum subjection principle ", otherwise will above level down first-class backward grade add up, till being added to more than 0.5, finally pass judgment on according to " maximum subjection principle " more always.
Step 6: calculate fuzzy overall evaluation ranking value
Except can drawing opinion rating, also can utilize as drag calculates fuzzy overall evaluation ranking value W:
in formula,
for
transposed matrix,
for the right-hand member point value that " excellent " is interval,
,
,
be respectively " good ", " in ", " poor " interval midrange.
By evaluation model, set up electric company's evaluating system, as shown in Figure 2.
(1) personal management
A) realize the management of system registry user, from SG-ERP, obtain Nantong electric company personnel essential information, comprising: the information such as name, sex, age, unit, identification card number, post, specialty.
B) differentiated control of authority is provided.The differentiated control of authority is provided.Each organizational structure can distribute respective system manager, all departments keeper, and wherein, all departments supvr can evaluate the working attitude of employee, ability quality.
C) door of system and company and cooperative office system carry out through, realize single-sign-on function.
(2) item bank management
Realize system centre reason quality assessment exam pool, working attitude test and appraisal exam pool, specialized capability test and appraisal exam pool.Psychological quality test and appraisal exam pool relates to self-assessment, setback attitude and interpersonal relation; Working attitude test and appraisal exam pool relates to professional dedication, sense of responsibility, sense of discipline; Specialized capability relates to academic result.For specialty topic, will can often occur that the topic of mistake adds mark, system will strengthen in training by the probability be extracted at random.
(3) training test and appraisal information management
A) realize the unified management of training test and appraisal information, form staffs training test and appraisal archives.Training test and appraisal packets of information is containing all departments supvr to the evaluation (comprising psychological quality, working attitude, ability quality) of employee, and the honor that the achievement of employee (comprise psychological quality achievement, academic result, put into practice achievement) and employee obtain is rewarded.
B) training test and appraisal information be associated with employee and be automatically sent to SG-ERP, the training test and appraisal situation of employee can be grasped timely, convenient, all sidedly.
(4) comprehensive statistics and analysis
A) comprehensive inquiry facilitates user to inquire about test and appraisal achievement; Managerial personnel can inquire about the training test and appraisal information of affiliated organizational structure employee; Statistical study can be carried out to training evaluating result, according to index, calculate grade (excellent, good, in, poor) and the overall qualities achievement of employee with evaluation model, and to overall qualities marks sequencing.
B) for the comprehensive statistics of score management, according to employee name, unit, specialty, total performance, the grade of employee is added up.Employee can check oneself grade and overall ranking.
C) manual configuration and the automatic generation function of statistical report form can be realized according to different demand, different statistics can be responded fast and analyze bore.
D) comprehensive statistics and analysis result all can export to Word or Excel.
The present invention, by analyzing the index of the electric company's Employee Survey method based on Fuzzy Comprehensive Evaluation, obtains multi-level evaluation index, mainly can be divided into psychological quality, working attitude, specialized capability, ability quality.Then utilize Fuzzy Comprehensive Evaluation to set up evaluation model, thus obtain final appraisal results.Finally, according to evaluation model, set up electric company's Employee Survey system.
Claims (1)
1. based on the staffs training evaluation system of Fuzzy Comprehensive Evaluation, it is characterized in that: to employee's Actuality Characteristic, extract the principal element affecting employee's overall qualities and evaluate, thus set up multi-level evaluation index, wherein, each first class index can be divided into 3 two-level index, then the leading indicator of the evaluation standard of employee's overall qualities is:
(1) psychological quality (
): comprise self-assessment (
), setback attitude (
), interpersonal relation harmony (
);
(2) working attitude (
): comprise professional dedication (
), sense of responsibility (
), sense of discipline (
);
(3) specialized capability (
): comprise academic result (
), put into practice achievement (
), honor reward (
);
(4) ability quality (
): comprise innovation ability (
), the ability of practice (
), management ability (
);
Utilize Fuzzy Comprehensive Evaluation to set up evaluation model, and arrange weights by certain method, thus obtain final appraisal results, evaluation model is as follows:
Step 1: establish first class index set of factors;
If
, wherein
be respectively the index of staff quality evaluation, provide each evaluation index respective weights simultaneously, be set to
, meet
,
, wherein
expression factor
influence degree in comprehensive evaluation;
Step 2: evaluation indice is subdivided into two-level appraisement index factor collection;
Be set to
, determine the weight of secondary index simultaneously, be set to
, and carry out ranking, be set to 4 grades, namely
=(excellent, good, in, poor); The grade evaluation result of each two-level index of last bamboo product,
=comment these level number/estimator's number (i=1,2,3,4; J=1,2,3,4);
Step 3: set up single factor evaluation matrix
, and right
carry out comprehensive evaluation, its evaluation of estimate is
:
=(
)
Step 4: by synthetic evaluation matrix
, calculate comprehensive evaluation value B;
(
)
Step 5: comprehensive evaluation result calculates;
According to maximum subjection principle in fuzzy mathematics or the cumulative more than half principle of degradation, employee's overall qualities can draw comprehensive evaluation result; As
in some
(i=1,2,3,4) more than 0.5, then make grade evaluation according to maximum subjection principle, otherwise will above level down first-class backward grade add up, till being added to more than 0.5, finally pass judgment on according to maximum subjection principle more always;
Step 6: calculate fuzzy overall evaluation ranking value;
Except can drawing opinion rating, also can utilize as drag calculates fuzzy overall evaluation ranking value W:
in formula,
for
transposed matrix,
for the right-hand member point value that " excellent " is interval,
,
,
be respectively " good ", " in ", " poor " interval midrange;
By evaluation model, set up evaluating system;
(1), personal management:
A) management of system registry user, is realized: from SG-ERP, obtain personnel's essential information, comprising: name, sex, age, unit, identification card number, post, specialty;
B) differentiated control of authority, is provided: the differentiated control that authority is provided; Each organizational structure can distribute respective system manager, all departments keeper, and wherein, all departments supvr can evaluate the working attitude of employee, ability quality;
C), the door of system and company and cooperative office system carry out through, realizes single-sign-on function;
(2), item bank management:
Realize system centre reason quality assessment exam pool, working attitude test and appraisal exam pool, specialized capability test and appraisal exam pool; Psychological quality test and appraisal exam pool relates to self-assessment, setback attitude and interpersonal relation; Working attitude test and appraisal exam pool relates to professional dedication, sense of responsibility, sense of discipline; Specialized capability relates to academic result; For specialty topic, will can often occur that the topic of mistake adds mark, system will strengthen in training by the probability be extracted at random;
(3), training test and appraisal information management:
A), realize the unified management of training test and appraisal information, form staffs training test and appraisal archives; Training test and appraisal packets of information to the evaluation of employee, mainly comprises psychological quality, working attitude, ability quality containing all departments supvr, and the achievement of employee comprises psychological quality achievement, academic result, put into practice the honor that achievement and employee obtain rewards;
B), by training test and appraisal information with employee be associated and be automatically sent to SG-ERP, the training test and appraisal situation of employee can be grasped timely, convenient, all sidedly;
(4), comprehensive statistics and analysis:
A), comprehensive inquiry facilitates user to inquire about test and appraisal achievement; Managerial personnel can inquire about the training test and appraisal information of affiliated organizational structure employee; Statistical study can be carried out to training evaluating result, according to index, calculate grade and the overall qualities achievement of employee with evaluation model, and to overall qualities marks sequencing;
B), for the comprehensive statistics of score management, according to employee name, unit, specialty, total performance, the grade of employee is added up; Employee can check oneself grade and overall ranking;
C), manual configuration and the automatic generation function of statistical report form can be realized according to different demand, different statistics can be responded fast and analyze bore;
D), comprehensive statistics and analysis result all can export to Word or Excel.
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Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106022632A (en) * | 2016-05-27 | 2016-10-12 | 浙江水利水电学院 | Cadre examination evaluating method and cadre examination evaluating system based on correlation analysis |
CN106295962A (en) * | 2016-07-28 | 2017-01-04 | 中国农业大学 | Personnel evaluation model generating method and device |
CN106409087A (en) * | 2016-10-31 | 2017-02-15 | 国网山东省电力公司莱芜供电公司 | Special intelligent management system for state grid practical training |
CN106599542A (en) * | 2016-11-11 | 2017-04-26 | 中南大学 | Comprehensive ability assessment method and assessment system for old people |
CN109411090A (en) * | 2018-09-26 | 2019-03-01 | 长沙师范学院 | A kind of infantile psychology status assessing system based on fuzzy evaluation |
CN109448848A (en) * | 2018-09-26 | 2019-03-08 | 长沙师范学院 | A kind of infantile psychology state evaluating method based on fuzzy evaluation |
CN110020762A (en) * | 2018-01-10 | 2019-07-16 | 北京国展教育科技有限公司 | A kind of comprehensive monitoring and evaluation system and method for school |
CN113592301A (en) * | 2021-07-30 | 2021-11-02 | 国能大渡河大数据服务有限公司 | Staff training management method and system |
CN113592225A (en) * | 2021-06-24 | 2021-11-02 | 浙江清朗科技有限公司 | Dynamic collection method for basic-level employee thinking |
CN116342078A (en) * | 2023-05-30 | 2023-06-27 | 辰风策划(深圳)有限公司 | Enterprise mobile office management method and system based on big data |
CN117852976A (en) * | 2024-03-04 | 2024-04-09 | 浙江海亮科技有限公司 | Method and system for intelligently generating rewards |
WO2024092974A1 (en) * | 2022-11-04 | 2024-05-10 | 上海维小美网络科技有限公司 | Method for monitoring employee states in real time and early warning abnormal data synchronously |
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2015
- 2015-11-24 CN CN201510819908.XA patent/CN105469208A/en active Pending
Cited By (15)
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---|---|---|---|---|
CN106022632A (en) * | 2016-05-27 | 2016-10-12 | 浙江水利水电学院 | Cadre examination evaluating method and cadre examination evaluating system based on correlation analysis |
CN106295962A (en) * | 2016-07-28 | 2017-01-04 | 中国农业大学 | Personnel evaluation model generating method and device |
CN106409087B (en) * | 2016-10-31 | 2019-03-26 | 国网山东省电力公司莱芜供电公司 | A kind of dedicated intelligent management system of state's net real training |
CN106409087A (en) * | 2016-10-31 | 2017-02-15 | 国网山东省电力公司莱芜供电公司 | Special intelligent management system for state grid practical training |
CN106599542A (en) * | 2016-11-11 | 2017-04-26 | 中南大学 | Comprehensive ability assessment method and assessment system for old people |
CN110020762A (en) * | 2018-01-10 | 2019-07-16 | 北京国展教育科技有限公司 | A kind of comprehensive monitoring and evaluation system and method for school |
CN109448848A (en) * | 2018-09-26 | 2019-03-08 | 长沙师范学院 | A kind of infantile psychology state evaluating method based on fuzzy evaluation |
CN109411090A (en) * | 2018-09-26 | 2019-03-01 | 长沙师范学院 | A kind of infantile psychology status assessing system based on fuzzy evaluation |
CN113592225A (en) * | 2021-06-24 | 2021-11-02 | 浙江清朗科技有限公司 | Dynamic collection method for basic-level employee thinking |
CN113592225B (en) * | 2021-06-24 | 2023-12-01 | 浙江清朗科技有限公司 | Dynamic acquisition method for basic staff thinking |
CN113592301A (en) * | 2021-07-30 | 2021-11-02 | 国能大渡河大数据服务有限公司 | Staff training management method and system |
WO2024092974A1 (en) * | 2022-11-04 | 2024-05-10 | 上海维小美网络科技有限公司 | Method for monitoring employee states in real time and early warning abnormal data synchronously |
CN116342078A (en) * | 2023-05-30 | 2023-06-27 | 辰风策划(深圳)有限公司 | Enterprise mobile office management method and system based on big data |
CN117852976A (en) * | 2024-03-04 | 2024-04-09 | 浙江海亮科技有限公司 | Method and system for intelligently generating rewards |
CN118379916A (en) * | 2024-06-25 | 2024-07-23 | 浙江大成工程项目管理有限公司 | Energy efficiency diagnosis simulation training system based on user side |
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Application publication date: 20160406 |