CN106295962A - Personnel evaluation model generating method and device - Google Patents
Personnel evaluation model generating method and device Download PDFInfo
- Publication number
- CN106295962A CN106295962A CN201610614239.7A CN201610614239A CN106295962A CN 106295962 A CN106295962 A CN 106295962A CN 201610614239 A CN201610614239 A CN 201610614239A CN 106295962 A CN106295962 A CN 106295962A
- Authority
- CN
- China
- Prior art keywords
- personnel
- classification
- index metadata
- weight
- metadata
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A kind of personnel evaluation model generating method of present invention offer and device, in the method, first several personnel's classifications are generated according to demographic data's sample, from index metadatabase, the index metadata for evaluating category personnel is obtained further according to different classes of different pieces of information, the weight of each index metadata is finally set, generates personnel evaluation model.It is understandable that, owing to index metadata here is that the different attribute according to each personnel's classification selects, and the weight of index metadata carries out different settings also according to different classifications, therefore the method that the present invention provides can carry out the evaluation of various criterion for different classes of personnel, and then makes the result science fair evaluated.Additionally, due to the result that according to evaluation result is equal, each index metadata and weight calculation thereof go out, therefore compared to existing artificial evaluation methodology, it is possible to get rid of the interference of artificial subjective factor, it is hereby achieved that objective and accurate personnel evaluation result.
Description
Technical field
The invention belongs to field of computer technology, particularly to a kind of personnel evaluation model generating method and device.
Background technology
Skilled personnel are the abbreviations of scientific talent and technician, are in social science and technology works, higher with oneself
Creativity, the spirit of exploration of science, make the people of bigger contribution for scientific technological advance and human progress.Skilled personnel evaluate
It is on the basis of accurately measuring, for a certain target, skilled personnel are made the process of value judgment.Objective reality ground is evaluated
Skilled personnel, are the premises brought into full play each one's ability, make the best possible use of talent, and are the batons guiding the correct value of skilled personnel, are that construction is good
The key of good scientific research environment, is the core improving skilled personnel's system, is the guarantee of China's S&T tax sound development.
But the evaluation methodology of existing skilled personnel or evaluation of professional titles method are only artificial according to by judge's
It is evaluated by Quantity of Papers, educational background degree etc. so that some talents being more good at other field cannot obtain standard
The most objectively pass judgment on.Therefore, how to provide a kind of objective science personnel evaluation method to be accurately and effectively one and need solution badly
Problem.
Summary of the invention
The invention provides a kind of personnel evaluation model generating method and system, in order to overcome existing personnel evaluation only to lean on
Artificial gets sth into one's head, and lacks the defect of objectivity, accuracy and the science evaluated.
First aspect, the invention provides a kind of personnel evaluation model generating method, including:
The data sample of multiple personnel is obtained from data base, and according to the pieces of data comprised in each personnel's data sample
Attribute, it is thus achieved that several personnel's classifications；
For each described personnel's classification, in default index metadatabase, obtain according to the attribute of described personnel's classification
Take in the index metadata evaluating the personnel belonging to this personnel's classification；
For each described personnel's classification, the weight of each index metadata is set according to the attribute of described personnel's classification,
Generate personnel evaluation model, so that described generation personnel evaluation model is when receiving new demographic data, it is judged that described personnel
Belonging to personnel's classification, and generate the personnel evaluation knot of described personnel according to index metadata corresponding to this personnel's classification and weight
Really.
Alternatively, the described attribute according to described personnel's classification obtains for the finger evaluating the personnel belonging to this personnel's classification
The step of mark metadata, including:
Obtain first class index metadata；
According to the attribute of described personnel's classification, obtain the two-level index unit number for evaluating the personnel belonging to this personnel's classification
According to；Described two-level index metadata, the branch data comprised for described first class index metadata.
Alternatively, the described attribute according to described personnel's classification arranges the step of the weight of each index metadata, including:
The weight of each first class index metadata is set；
The weight of each two-level index metadata comprised in each first class index metadata is set.
Alternatively, described personnel evaluation result, the personnel generated that mark for personnel and/or mark according to described personnel comment
Language.
Second aspect, present invention also offers a kind of personnel evaluation model generation device, including:
Taxon, for obtaining the data sample of multiple personnel, and according in each personnel's data sample from data base
The attribute of the pieces of data comprised, it is thus achieved that several personnel's classifications；
Data capture unit, for for each described personnel's classification, in default index metadatabase, according to described
The attribute of personnel's classification obtains the index metadata for evaluating the personnel belonging to this personnel's classification；
Weight setting unit, for for each described personnel's classification, arranges each according to the attribute of described personnel's classification
The weight of index metadata, generates personnel evaluation model, so that described generation personnel evaluation model is receiving new personnel's number
According to time, it is judged that the personnel's classification belonging to described personnel, and generate institute according to index metadata corresponding to this personnel's classification and weight
State the personnel evaluation result of personnel.
Alternatively, described data capture unit is additionally operable to:
Obtain first class index metadata；
According to the attribute of described personnel's classification, obtain the two-level index unit number for evaluating the personnel belonging to this personnel's classification
According to；Described two-level index metadata, the branch data comprised for described first class index metadata.
Alternatively, described weight setting unit, it is additionally operable to:
The weight of each first class index metadata is set；
The weight of each two-level index metadata comprised in each first class index metadata is set.
Alternatively, described personnel evaluation result, the personnel generated that mark for personnel and/or mark according to described personnel comment
Language.
A kind of personnel evaluation model generating method of present invention offer and device, in the method, first according to demographic data
Sample generates several personnel's classifications, obtains further according to different classes of different pieces of information and be used for evaluating this from index metadatabase
The index metadata of classification personnel, finally arranges the weight of each index metadata, generates personnel evaluation model.May be appreciated
It is, owing to index metadata here is that the different attribute according to each personnel's classification selects, and the weight of index metadata
Carrying out different settings also according to different classifications, the method that therefore present invention provides can be carried out for different classes of personnel
The evaluation of various criterion, and then make the result science fair evaluated.Additionally, due to each index unit according to evaluation result is equal
The result that data and weight calculation thereof go out, therefore compared to existing artificial evaluation methodology, it is possible to gets rid of artificial subjective factor
Interference, it is hereby achieved that objective and accurate personnel evaluation result.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, embodiment will be described below
The accompanying drawing used required in is briefly described, it should be apparent that, the accompanying drawing in describing below is only some of the present invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to these accompanying drawings
Obtain other accompanying drawing.
Fig. 1 is the personnel evaluation model generating method flow chart that the present invention provides；
Fig. 2 is the personnel evaluation model generation apparatus structure schematic diagram that the present invention provides.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, the every other reality that ordinary skill people is obtained under not making creative work premise
Execute example, broadly fall into the scope of protection of the invention.
First aspect, the invention provides a kind of personnel evaluation model generating method, as it is shown in figure 1, include:
S101, obtain the data sample of multiple personnel from data base, and each according to what each personnel's data sample comprised
The attribute of data, it is thus achieved that several personnel's classifications；
Specifically, data base comprises the data sample of so many people, sample comprises the attribute data of each personnel.
Here attribute data can be the work of this sample personnel, studying or living situation, such as this personnel's academic background, age,
Thesis and work delivers situation, level residing in economic life and link etc. residing in scientific and technological activities are divided the work.
Multiple personnel's classification can be obtained according to above-mentioned attribute.Wherein, personnel's classification here can based on study class,
Engineering and innovation undertaking class, can also include other classifications certainly, and this is not especially limited by the present invention.
S102, for each personnel's classification, in default index metadatabase, obtain according to the attribute of personnel's classification and use
In the index metadata evaluating the personnel belonging to this personnel's classification；
Specifically, owing to the evaluation criterion of the personnel of every kind is different, the index that the personnel of each classification are corresponding is first
Data have general character also to have characteristic.Such as, the index metadata being used for evaluating the innovation undertaking class talent is not necessarily suitable evaluation base
The plinth research class talent, such as relevant to innovation undertaking class talent index metadata " industry market analysis ability ", it is not suitable for
For evaluating the basic research class talent, and the index metadata relevant to the basic research class talent " representative studies achievement ", no
It is applicable to evaluate innovation undertaking class skilled personnel.Therefore, need to be for the personnel's classification belonging to these personnel, and according to personnel's classification
Attribute obtains the index metadata being suitable for evaluating category personnel.Here the concrete data in index metadata can be passed through
Gather bibliographic data base in advance, as middle National IP Network, Wanfang Database etc. obtain.
S103, for each personnel's classification, the weight of each index metadata is set according to the attribute of personnel's classification, generate
Personnel evaluation model, so that generating personnel evaluation model when receiving new demographic data, it is judged that the personnel's class belonging to personnel
Not, the personnel evaluation result of personnel and is generated according to index metadata corresponding to this personnel's classification and weight.
Specifically, it is to be understood that when evaluating the personnel of a certain type, select to evaluate such personnel except needs
Index metadata, also according to the significance level of each index metadata, each index metadata is arranged weight so that section
The on-line intelligence evaluation result of the skill talent is more scientific, reasonability.
After setting weight, it is possible to generate personnel evaluation model.This model is receiving the new of user data
During demographic data, personnel's classification can be judged automatically according to the data of personnel, and according to index metadata corresponding to the category with
And weight generates the personnel evaluation result of these personnel.Wherein, new demographic data here can be the resume of these personnel, personnel
Evaluation model can automatically obtain the demographic data comprised in resume and evaluate accordingly.The most here demographic data is also
Can pass through user's manual data, this is not especially limited by the present invention.
In the personnel evaluation model generating method that the present invention provides, first generate several personnel according to demographic data's sample
Classification, obtains the index unit number for evaluating category personnel further according to different classes of different pieces of information from index metadatabase
According to, the weight of each index metadata is finally set, generates personnel evaluation model.It is understood that due to index here
Metadata is that the different attribute according to each personnel's classification selects, and the weight of index metadata is entered also according to different classifications
The setting that row is different, the method that therefore present invention provides can carry out the evaluation of various criterion, enter for different classes of personnel
And make the result science fair evaluated.Additionally, due to evaluation result all according to each index metadata and weight calculation thereof
The result gone out, therefore compared to existing artificial evaluation methodology, it is possible to gets rid of the interference of artificial subjective factor, it is hereby achieved that
Objective and accurate personnel evaluation result.
In the specific implementation, in order to refine personnel evaluation index, step S102 may include that
S1021, acquisition first class index metadata；
S1022, attribute according to personnel's classification, obtain the two-level index unit for evaluating the personnel belonging to this personnel's classification
Data；Two-level index metadata, the branch data comprised for first class index metadata.
Correspondingly, in the specific implementation, step S103 may include that
S1031, the weight of each first class index metadata is set；
S1032, the weight of each two-level index metadata comprised in each first class index metadata is set.
Below by table 1, as a example by basic research class personnel, engineering personnel, innovation undertaking class personnel, specifically
Bright index metadata at different levels and weight are arranged.
Table 1 is for the assessment indicator system of three class scientific and technical personnel
Index system in table 1 is divided into three levels.Ground floor is destination layer, the target that reflection body series is pursued, this
The destination layer of appraisement system is that scientific and technical personnel evaluate.Second level is rule layer, the objectives of reflection index system, is structure
The foundation of assessment indicator system, the second layer index of this appraisement system be innovative knowledge, Creative Ability, power of influence, innovation ability,
Innovative impetus, operating capability.Third level is indicator layer, is the further refinement to two-level index.In actual evaluation, with base
As a example by plinth research class personnel, the weight proportion sum of all kinds of first class index is 100%, comprise each two grades of each first class index
The weight proportion sum of index is 100%, thus is refined the standard of evaluation by such mode.
Additionally, in the specific implementation, the personnel evaluation result that in said method example, step S104 generates can be by being
The mode of generation personnel scoring embodies, and can also include that the personnel that the scoring according to personnel generates comment while showing scoring
Language, thus allow users to evaluation result the most intuitively.
Second aspect, present invention also offers a kind of personnel evaluation model generation device, as in figure 2 it is shown, include:
Taxon 201, for obtaining the data sample of multiple personnel, and according to each personnel's data sample from data base
In the attribute of pieces of data that comprises, it is thus achieved that several personnel's classifications；
Data capture unit 202, for for each described personnel's classification, in default index metadatabase, according to
The attribute of described personnel's classification obtains the index metadata for evaluating the personnel belonging to this personnel's classification；
Weight setting unit 203, for for each described personnel's classification, is arranged respectively according to the attribute of described personnel's classification
The weight of individual index metadata, generates personnel evaluation model, so that described generation personnel evaluation model is receiving new personnel
During data, it is judged that the personnel's classification belonging to described personnel, and generate according to index metadata corresponding to this personnel's classification and weight
The personnel evaluation result of described personnel.
In the specific implementation, data capture unit 202 is additionally operable to:
Obtain first class index metadata；
According to the attribute of described personnel's classification, obtain the two-level index unit number for evaluating the personnel belonging to this personnel's classification
According to；Described two-level index metadata, the branch data comprised for described first class index metadata.
In the specific implementation, weight setting unit 203 is additionally operable to:
The weight of each first class index metadata is set；
The weight of each two-level index metadata comprised in each first class index metadata is set.
In the specific implementation, described personnel evaluation result, for personnel's scoring and/or the people of generation of marking according to described personnel
Member's comment.
The personnel evaluation model generation device introduced due to the present embodiment is to perform the people in the embodiment of the present invention
Member's evaluation model generates the device of method, so side based on the personnel evaluation model generation described in the embodiment of the present invention
Method, those skilled in the art will appreciate that the personnel evaluation model generation device of the present embodiment detailed description of the invention and
How its various versions, so realize the personnel in the embodiment of the present invention at this for this personnel evaluation model generation device
Evaluation model generates method and is no longer discussed in detail.As long as those skilled in the art implement personnel evaluation in the embodiment of the present invention
The device that model generating method is used, broadly falls into the scope that the application to be protected.
Algorithm and display are not intrinsic to any certain computer, virtual system or miscellaneous equipment relevant provided herein.
Various general-purpose systems can also be used together with based on teaching in this.As described above, construct required by this kind of system
Structure be apparent from.Additionally, the present invention is also not for any certain programmed language.It is understood that, it is possible to use various
Programming language realizes the content of invention described herein, and the description done language-specific above is to disclose this
Bright preferred forms.
In description mentioned herein, illustrate a large amount of detail.It is to be appreciated, however, that the enforcement of the present invention
Example can be put into practice in the case of not having these details.In some instances, it is not shown specifically known method, structure
And technology, in order to do not obscure the understanding of this description.
Similarly, it will be appreciated that one or more in order to simplify that the disclosure helping understands in each inventive aspect, exist
Above in the description of the exemplary embodiment of the present invention, each feature of the present invention is grouped together into single enforcement sometimes
In example, figure or descriptions thereof.But, the method for the disclosure should not be construed to reflect an intention that i.e. required guarantor
The application claims feature more more than the feature being expressly recited in each claim protected.More precisely, as following
Claims reflected as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
The claims following detailed description of the invention are thus expressly incorporated in this detailed description of the invention, the most each claim itself
All as the independent embodiment of the present invention.
Those skilled in the art are appreciated that and can carry out the module in the equipment in embodiment adaptively
Change and they are arranged in one or more equipment different from this embodiment.Can be the module in embodiment or list
Unit or assembly are combined into a module or unit or assembly, and can put them in addition multiple submodule or subelement or
Sub-component.In addition at least some in such feature and/or process or unit excludes each other, can use any
Combine all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so disclosed appoint
Where method or all processes of equipment or unit are combined.Unless expressly stated otherwise, this specification (includes adjoint power
Profit requires, summary and accompanying drawing) disclosed in each feature can be carried out generation by providing identical, equivalent or the alternative features of similar purpose
Replace.
Although additionally, it will be appreciated by those of skill in the art that embodiments more in this include institute in other embodiments
Including some feature rather than further feature, but the combination of the feature of different embodiment means to be in the scope of the present invention
Within and form different embodiments.Such as, in the following claims, embodiment required for protection any it
One can mode use in any combination.
The all parts embodiment of the present invention can realize with hardware, or to run on one or more processor
Software module realize, or with combinations thereof realize.It will be understood by those of skill in the art that and can use in practice
Microprocessor or digital signal processor (DSP) realize in gateway according to embodiments of the present invention, proxy server, system
The some or all functions of some or all parts.The present invention is also implemented as performing side as described herein
Part or all equipment of method or device program (such as, computer program and computer program).Such
The program realizing the present invention can store on a computer-readable medium, or can have the shape of one or more signal
Formula.Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or with any other shape
Formula provides.
The present invention will be described rather than limits the invention to it should be noted above-described embodiment, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference marks that should not will be located between bracket is configured to limitations on claims.Word " comprises " and does not excludes the presence of not
Arrange element in the claims or step.Word "a" or "an" before being positioned at element does not excludes the presence of multiple such
Element.The present invention and can come real by means of including the hardware of some different elements by means of properly programmed computer
Existing.If in the unit claim listing equipment for drying, several in these devices can be by same hardware branch
Specifically embody.Word first, second and third use do not indicate that any order.These word explanations can be run after fame
Claim.
Claims (8)
1. a personnel evaluation model generating method, it is characterised in that including:
The data sample of multiple personnel is obtained from data base, and according to the genus of the pieces of data comprised in each personnel's data sample
Property, it is thus achieved that several personnel's classifications；
For each described personnel's classification, in default index metadatabase, obtain according to the attribute of described personnel's classification and use
In the index metadata evaluating the personnel belonging to this personnel's classification；
For each described personnel's classification, the weight of each index metadata is set according to the attribute of described personnel's classification, generates
Personnel evaluation model, so that described generation personnel evaluation model is when receiving new demographic data, it is judged that belonging to described personnel
Personnel's classification, and generate the personnel evaluation result of described personnel according to index metadata corresponding to this personnel's classification and weight.
Method the most according to claim 1, it is characterised in that the described attribute according to described personnel's classification obtains and is used for commenting
Valency belongs to the step of the index metadata of the personnel of this personnel's classification, including:
Obtain first class index metadata；
According to the attribute of described personnel's classification, obtain the two-level index metadata for evaluating the personnel belonging to this personnel's classification；
Described two-level index metadata, the branch data comprised for described first class index metadata.
Method the most according to claim 2, it is characterised in that the described attribute according to described personnel's classification arranges each and refers to
The step of the weight of mark metadata, including:
The weight of each first class index metadata is set；
The weight of each two-level index metadata comprised in each first class index metadata is set.
Method the most according to claim 1, it is characterised in that described personnel evaluation result, for personnel scoring and/or according to
Described personnel mark generate personnel's comment.
5. a personnel evaluation model generation device, it is characterised in that including:
Taxon, for obtaining the data sample of multiple personnel from data base, and comprises according in each personnel's data sample
The attribute of pieces of data, it is thus achieved that several personnel's classifications；
Data capture unit, for for each described personnel's classification, in default index metadatabase, according to described personnel
The attribute of classification obtains the index metadata for evaluating the personnel belonging to this personnel's classification；
Weight setting unit, for for each described personnel's classification, arranges each index according to the attribute of described personnel's classification
The weight of metadata, generates personnel evaluation model, so that described generation personnel evaluation model is when receiving new demographic data,
Judge the personnel's classification belonging to described personnel, and generate described personnel according to index metadata corresponding to this personnel's classification and weight
Personnel evaluation result.
Device the most according to claim 5, it is characterised in that described data capture unit is additionally operable to:
Obtain first class index metadata；
According to the attribute of described personnel's classification, obtain the two-level index metadata for evaluating the personnel belonging to this personnel's classification；
Described two-level index metadata, the branch data comprised for described first class index metadata.
Device the most according to claim 6, it is characterised in that described weight setting unit, is additionally operable to:
The weight of each first class index metadata is set；
The weight of each two-level index metadata comprised in each first class index metadata is set.
Device the most according to claim 5, it is characterised in that described personnel evaluation result, for personnel scoring and/or according to
Described personnel mark generate personnel's comment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610614239.7A CN106295962A (en) | 2016-07-28 | 2016-07-28 | Personnel evaluation model generating method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610614239.7A CN106295962A (en) | 2016-07-28 | 2016-07-28 | Personnel evaluation model generating method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106295962A true CN106295962A (en) | 2017-01-04 |
Family
ID=57663071
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610614239.7A Pending CN106295962A (en) | 2016-07-28 | 2016-07-28 | Personnel evaluation model generating method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106295962A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107644301A (en) * | 2017-10-13 | 2018-01-30 | 温志强 | Computer based talent assessment method and system |
| CN109102142A (en) * | 2018-06-15 | 2018-12-28 | 山东鲁能软件技术有限公司 | A kind of personnel evaluation methods and system based on evaluation criterion tree |
| CN110348714A (en) * | 2019-06-28 | 2019-10-18 | 成都场量科技有限公司 | Based on code log to the method for the output level evaluation of research staff |
| CN111723119A (en) * | 2019-03-18 | 2020-09-29 | 北京京东尚科信息技术有限公司 | Screening method and device and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103400024A (en) * | 2013-06-28 | 2013-11-20 | 广东省建筑材料研究院 | Wall material green evaluation model establishing method |
| CN105095682A (en) * | 2015-09-24 | 2015-11-25 | 上海海事大学 | Evaluation method based on bridge waterway ship navigation safety risk evaluation model |
| CN105447633A (en) * | 2015-11-17 | 2016-03-30 | 中国农业大学 | Scientific research institution integration evaluation method and system thereof |
| CN105469208A (en) * | 2015-11-24 | 2016-04-06 | 江苏省电力公司南通供电公司 | Employee training evaluation system based on fuzzy integrated evaluation method |
-
2016
- 2016-07-28 CN CN201610614239.7A patent/CN106295962A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103400024A (en) * | 2013-06-28 | 2013-11-20 | 广东省建筑材料研究院 | Wall material green evaluation model establishing method |
| CN105095682A (en) * | 2015-09-24 | 2015-11-25 | 上海海事大学 | Evaluation method based on bridge waterway ship navigation safety risk evaluation model |
| CN105447633A (en) * | 2015-11-17 | 2016-03-30 | 中国农业大学 | Scientific research institution integration evaluation method and system thereof |
| CN105469208A (en) * | 2015-11-24 | 2016-04-06 | 江苏省电力公司南通供电公司 | Employee training evaluation system based on fuzzy integrated evaluation method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107644301A (en) * | 2017-10-13 | 2018-01-30 | 温志强 | Computer based talent assessment method and system |
| CN109102142A (en) * | 2018-06-15 | 2018-12-28 | 山东鲁能软件技术有限公司 | A kind of personnel evaluation methods and system based on evaluation criterion tree |
| CN111723119A (en) * | 2019-03-18 | 2020-09-29 | 北京京东尚科信息技术有限公司 | Screening method and device and storage medium |
| CN110348714A (en) * | 2019-06-28 | 2019-10-18 | 成都场量科技有限公司 | Based on code log to the method for the output level evaluation of research staff |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Stol et al. | The ABC of software engineering research | |
| Heo et al. | Evolution of the linkage structure of ICT industry and its role in the economic system: The case of Korea | |
| Bautista-Puig et al. | Enhancing sustainable development goals or promoting universities? An analysis of the times higher education impact rankings | |
| Haponava et al. | Proposed system for measuring project performance using process-based key performance indicators | |
| Casillas et al. | Evolution of the intellectual structure of family business literature: A bibliometric study of FBR | |
| Shen et al. | Contractor key competitiveness indicators: a China study | |
| Lukman et al. | University ranking using research, educational and environmental indicators | |
| CN106295962A (en) | Personnel evaluation model generating method and device | |
| Yan et al. | Software quality assessment model: a systematic mapping study | |
| Magee et al. | A national-scale vegetation multimetric index (VMMI) as an indicator of wetland condition across the conterminous United States | |
| Molléri et al. | Towards understanding the relation between citations and research quality in software engineering studies | |
| Clevenger et al. | Design exploration assessment methodology: testing the guidance of design processes | |
| Kog et al. | A meta classification and analysis of contractor selection and prequalification | |
| Aila et al. | Validating measures in business research: Practical implications | |
| Hwang et al. | Job satisfaction of project managers in green construction projects: Influencing factors and improvement strategies | |
| Hermanu et al. | Is it necessary to evaluate university research performance instrument? Evidence from Indonesia | |
| Bruns et al. | 13 Purposeful Metrics: Matching Institutional Repository Metrics to Purpose and Audience | |
| CN111444438B (en) | Method, device, equipment and storage medium for determining quasi-recall rate of recall strategy | |
| Ritchie et al. | Phylogenetic diversity metrics from molecular phylogenies: modelling expected degree of error under realistic rate variation | |
| Jalali | Appraising the role of strategy implementation in export performance: a case from Middle East | |
| Mustafa et al. | Comprehensive evaluation of publication and citation metrics for quantifying scholarly influence | |
| CN106503050A (en) | A kind of method and system for carrying out reading articles recommendation based on big data | |
| CN106960398A (en) | The rational appraisal procedure of college entrance will and device | |
| KR20140115525A (en) | Design brand value evaluating and verificating system and method | |
| Shehatta et al. | Ranking web of universities: is Webometrics a reliable academic ranking? |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170104 |