AU2021102716A4 - Science and technology correspondent performance evaluation method based on entropy method - Google Patents
Science and technology correspondent performance evaluation method based on entropy method Download PDFInfo
- Publication number
- AU2021102716A4 AU2021102716A4 AU2021102716A AU2021102716A AU2021102716A4 AU 2021102716 A4 AU2021102716 A4 AU 2021102716A4 AU 2021102716 A AU2021102716 A AU 2021102716A AU 2021102716 A AU2021102716 A AU 2021102716A AU 2021102716 A4 AU2021102716 A4 AU 2021102716A4
- Authority
- AU
- Australia
- Prior art keywords
- science
- technology
- indicator
- evaluation
- correspondent
- 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.)
- Ceased
Links
- 238000005516 engineering process Methods 0.000 title claims abstract description 196
- 238000011156 evaluation Methods 0.000 title claims abstract description 169
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000012545 processing Methods 0.000 claims abstract description 15
- 230000000694 effects Effects 0.000 claims abstract description 12
- 238000011161 development Methods 0.000 claims description 28
- 238000004519 manufacturing process Methods 0.000 claims description 25
- 238000012549 training Methods 0.000 claims description 23
- 239000000463 material Substances 0.000 claims description 13
- 230000001131 transforming effect Effects 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 7
- 230000001186 cumulative effect Effects 0.000 claims description 7
- 241001536374 Indicator indicator Species 0.000 abstract description 3
- 238000004445 quantitative analysis Methods 0.000 abstract 1
- 238000011282 treatment Methods 0.000 description 6
- 238000003745 diagnosis Methods 0.000 description 5
- 240000008042 Zea mays Species 0.000 description 4
- 235000005824 Zea mays ssp. parviglumis Nutrition 0.000 description 4
- 235000002017 Zea mays subsp mays Nutrition 0.000 description 4
- 235000005822 corn Nutrition 0.000 description 4
- 241000196324 Embryophyta Species 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 239000003814 drug Substances 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000012552 review Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000008713 feedback mechanism Effects 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000010827 pathological analysis Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000013077 scoring method Methods 0.000 description 1
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
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
OF THE DISCLOSURE
Disclosed is a science and technology correspondent performance evaluation method based on
an entropy method, including the following steps: 1, constructing a science and technology
correspondent performance evaluation indicator system from eight aspects, 26 indicators, such as
visits of science and technology correspondents, completion of inquiry logs, contribution to
science and technology progress, service type and number, and effect feedback; 2, investigating
actual situations of science and technology correspondents, and performing statistics on data
required for the evaluation indicators in step 1; 3, calculating a value of each indicator in the
indicator system based on the data obtained in step 2; 4, performing dimensionless processing on
each indicator based on an extreme value method, and determining a weight of each indicator by
using the entropy method; and 5, calculating a comprehensive score, and determining an
evaluation level. The method has clear levels and comprehensive evaluation indicators, achieves
comprehensive quantitative analysis on the performance of science and technology
correspondents, fully reflects objective decision-making, achieves scientific weighting of
evaluation indicators, avoids deviations caused by human factors, and improves the accuracy of
performance evaluation.
1/2
DRAWINGS:
Indicator classification
Target-level evaluation indicator
Criterion-level evaluation indicator
Indicator-level evaluation indicator
Statistical data, division
Indicator attributes
Dimensionless processing
Indicator weighting by entropy method
Calculate performance evaluation index S
Give performance evaluation level
Fig. 1
Description
1/2
Indicator classification
Target-level evaluation indicator Criterion-level evaluation indicator Indicator-level evaluation indicator
Statistical data, division Indicator attributes
Dimensionless processing
Indicator weighting by entropy method
Calculate performance evaluation index S
Give performance evaluation level
Fig. 1
[0001] 1. Technical Field
[0002] The present invention relates to the field of performance evaluation, in particular to a science and technology correspondent performance evaluation method based on an entropy method.
[0003] 2. Description of Related Art
[0004] Most of the science and technology correspondents recognized and filed in China are working part time. The work development is uneven, and the statistics on science and technology services is difficult. Therefore, government's awards for science and technology correspondents lack basis, the enthusiasm of science and technology correspondents cannot be improved, and the development of rural work is adverse. A science and technology correspondent performance evaluation method can improve the science and technology correspondent system to a certain extent, and provide guarantees for real revitalization of rural areas and services for agriculture, rural areas and farmers. On the other hand, the work of science and technology correspondents is a macro action promoted by the government. It covers a wide range of socialfields and involves many social subjects. Therefore, complex and redundant indicators should be avoided as much as possible, key indicators should be focused, and indicators that have strong generalizations, represents a large amount of information and are easy to understand should be selected. At present, there are many technical difficulties in studies on data collection and application of various indicator systems, resulting in the loss of a lot of scientific research resources and improper allocation, and it is difficult to establish a comprehensive, hierarchical, and comprehensive evaluation system. In addition, relying on subjective methods such as an expert scoring method has higher requirements for experts and limitations in practical operation.
[0005] In order to solve the above problems, the present invention proposes a science and technology correspondent performance evaluation method based on an entropy method, which establishes a comprehensive evaluation system, uses the objective entropy method to determine weights, and therefore, is more accurate and more convincing and can accurately and reasonably evaluate the performance of each science and technology correspondent.
[0006] The objective of the present invention is achieved through the following technical solution.
[0007] Implementation steps of a science and technology correspondent performance evaluation method based on an entropy method are as follows:
[0008] Si) constructing a science and technology correspondent performance evaluation indicator system from eight aspects: visits of science and technology correspondents, completion of inquiry logs, contribution to science and technology progress and county economy development, service type and number of science and technology correspondents, mobilization of farmers, training of farmers, user's evaluation on the work of science and technology correspondents, and effect feedback, wherein the science and technology correspondent performance evaluation indicator system is divided into target-level evaluation indicators, criterion-level evaluation indicators and indicator-level evaluation indicators;
[0009] S2) investigating actual situations of science and technology correspondents, and performing statistical calculation on data required for the evaluation indicators in Sl);
[0010] S3) marking each indicator as one of a forward indicator, a reverse indicator and a moderate indicator according to the data obtained in 2) and the attribute of the indicator, and transforming the reverse indicators and the moderate indicators into forward indicators;
[0011] S4) performing dimensionless processing on each indicator based on an extreme value method, and determining a weight of each indicator by using the entropy method; and
[0012] S5) calculating a performance evaluation index S for each science and technology correspondent based on the various indicators and the obtained weight values, and determining a performance evaluation level of the science and technology correspondent based on the evaluation index S.
[0013] Further, the target-level evaluation indicators in SI) are performance evaluation levels of science and technology correspondents, and the performance evaluation levels of science and technology correspondents are divided into five levels, respectively: excellent, good, ordinary, qualified, and unqualified.
[0014] Further, the criterion-level evaluation indicators in Sl) include visits of science and technology correspondents, completion of inquiry logs, contribution to science and technology progress and county economy development, service type and number of science and technology correspondents, mobilization of farmers, training of farmers, user's evaluation on the work of science and technology correspondents, and effect feedback.
[0015] Further, the indicator-level evaluation indicators in Sl) include 26 items, and the 26 items and calculation methods of the evaluation indicators are as follows:
[0016] S101) 5 evaluation indicators in the criteria for visits of science and technology correspondents, including visit duration, number of visits, visit distance, number of after-sales return visits, and number of order refusals, wherein,
[0017] the visit duration (hours) is equal to the sum of durations of visits in this year,
[0018] the number of visits (times) is equal to the total number of visits in this year,
[0019] the visit distance (km) is equal to the total visit distance in this year,
[0020] the number of after-sales return visits (points) is equal to the sum of points for active return visits and points for passive return visits, which are obtained by the science and technology correspondent in this year, and
[0021] the number of order refusals (points) is equal to the sum of points obtained by the science and technology correspondent for the number of refusals in this year;
[0022] S102) 3 evaluation indicators in the criteria for completion of inquiry logs, including number of times to fill in inquiry logs, integrity of inquiry logs, and log acceptance evaluation score, wherein,
[0023] the number of times (points) to fill in inquiry logs is equal to the total number of times to fill in inquiry logs in this year,
[0024] the integrity of inquiry logs (%)= actual content filled/total demand content*100%, and
[0025] the log acceptance evaluation score (score) is equal to a cumulative average of log acceptance evaluation scores every time in this year;
[0026] S103) 5 evaluation indicators in the criteria for contribution to science and technology progress and county economy development, including number of science and technology development projects implemented, number of new technologies, products, and varieties introduced and promoted, number of new varieties developed, number of rural enterprises promoted, and annual profit of project implementation (ten thousand yuan), wherein,
[0027] the number of science and technology development projects implemented (number) is equal to the total number of science and technology development projects implemented by the science and technology correspondent in one year,
[0028] the number of new technologies, products, and varieties introduced and promoted (number) is equal to the total number of new technologies, products, and varieties introduced and promoted in this year,
[0029] the number of new varieties developed (number) is equal to the total number of new varieties developed in this year,
[0030] the number of rural enterprises promoted (number) is equal to the total number of rural enterprises promoted in this year, and
[0031] the annual profit of project implementation (ten thousand yuan) is equal to the total annual profit generated by rural enterprises through technological innovation and the introduction of new products conducted by the science and technology correspondent in this year;
[0032] S104) 4 evaluation indicators in the criteria for service type and number of science and technology correspondents, including number of people for unpaid services, number of people for paid services, number of invalid people, and number of people with increased income, wherein,
[0033] the number of people for unpaid services (number) is equal to the number of science and technology correspondents for unpaid services in the form of public lectures, on-line public teaching, countryside services, publication of planting information on websites, etc. in this year,
[0034] the number of people for paid services (number) is equal to the number of science and technology correspondents for paid services in the form of receiving user orders from the system, paid guidance on the countryside, paid classes, etc. in this year,
[0035] the number of invalid people is equal to the total number of invalid farmers generated in this year, and
[0036] the number of people with increased income (number) is equal to the total number of farmers who plant a certain crop in this year under the guidance of the science and technology correspondent to increase the income compared to the previous year,
[0037] average profit of farmers (ten thousand yuan) = total annual output (kg) * unit price per kilogram - total cost/total number of farmers who plant the crop;
[0038] S105) 2 evaluation indicators in the criteria for mobilization of farmers, including average profit of farmers and number of farmers trained, wherein,
[0039] the number of farmers trained (number) is equal to the total number of farmers trained by the science and technology correspondent in this year, and
[0040] the number of trainings (times) is equal to the total number of trainings in this year;
[0041] S106) 5 evaluation indicators in the criteria for training of farmers, including number of trainings, number of copies of popular science materials issued, number of production guidance times, number of production information announcements, and number of popular science lectures, wherein,
[0042] the number of copies of popular science materials issued (copy) is equal to the total number of copies of popular science materials issued in this year,
[0043] the number of production guidance times (times) is equal to the total number of times the science and technology correspondent goes to the countryside to guide production in this year,
[0044] the number of production information announcements (times) is equal to the total number of announcements of production information by posting and releasing in system pages in a year, and
[0045] the number of popular science lectures (times) is equal to the total number of popular science lectures conducted by the science and technology correspondent in this year;
[0046] S107) 1 evaluation indicator in the criteria for user's evaluation on the work of science and technology correspondents, including user order evaluation, wherein,
[0047] the user order evaluation (score) is equal to a cumulative average of users' order evaluation scores every time in this year; and
[0048] S108) 1 evaluation indicator in the criteria for effect feedback, including after-sales feedback for the science and technology correspondent, wherein,
[0049] the after-sales feedback (points) for the science and technology correspondent is equal to the sum of points for active feedback and points for passive feedback, which are obtained by the science and technology correspondent in this year.
[0050] Further, in S3), the reverse indicators and the moderate indicators are transformed into forward indicators. If the value of an indicator is larger, the performance of the science and technology correspondent is higher, and the indicator is a forward indicator; if the value of an indicator is smaller, the performance of the science and technology correspondent is higher, and the indicator is a reverse indicator; and if the value of an indicator is median, the performance of the science and technology correspondent is median, and the indicator is a moderate indicator. A method for transforming reverse indicators and moderate indicators into forward indicators is as follows:
[0051] supposing x to represent a reverse indicator or a moderate indicator, formulas for
transforming the reverse indicator and the moderate indicator into forward indicators X' being:
[0052] transforming the reverse indicator into a forward indicator: x'= M'- x
[0053] transforming the moderate indicator into a forward indicator: 2x(x-m) m'+M' 2x_M ' X M 2x(M'-x) m+M xM M'-m' 2
[0054] where M' and m' respectively represent a maximum value and a minimum value within the value range of the indicator x.
[0055] Further, the steps of performing dimensionless processing on each indicator based on an extreme value method, and determining a weight of each indicator by using the entropy method are as follows:
[0056] S401) performing dimensionless processing on each obtained forward indicator by using the extreme value method: x- - m.
[0057] where xi; represents thej(jE{ 1,2,....m}) evaluation indicator of the i(iE (1,2 .... n)
) science and technology correspondent, x is a value of the forward indicator xi after the
dimensionless processing, Mj is a maximum value of x, and mj is a minimum value of xi;
[0058] S402) calculating a characteristic proportion or contribution pi; of the i-th science and technology correspondent under thej-th indicator based on the x;: x p = "
i-1
[0059] S403) calculating an entropy e of thej-th indicator based on the contributionpy:
e=- pln(p, ),0: e 11 lnn i1 ~
[0060] S404) calculating a difference coefficient gj of thej-th indicator based on the information entropy ej:
[0061] S405) calculating a weight coefficient wj of the j-th indicator based on the difference coefficient gj:
. gj J m
i i
[0062] Further, the performance evaluation index S described in 5) is obtained by a weighted sum method, and the calculation formula is:
S=10x $j-l wx p,
[0063] The performance evaluation level of the science and technology correspondent is determined based on the score obtained from the formula S. The relationship between the score and the performance evaluation level of the science and technology correspondent is: ! S 100 is excellent, 80 S< 90 is good, 70 S<80 is ordinary, 60 S< 70 is qualified, and 0 ! S< 60 is unqualified.
[0064] The present disclosure has the following advantages:
[0065] (1) The evaluation system of the present invention involves eight aspects including visits of science and technology correspondents, completion of inquiry logs, contribution to science and technology progress and county economy development, service type and number of science and technology correspondents, mobilization of farmers, training of farmers, user's evaluation on the work of science and technology correspondents, and effect feedback, and 26 evaluation items, with clear levels and comprehensive evaluation indicators, which can comprehensively evaluate the science and technology correspondent;
[0066] (2) The entropy method of the present invention is an objective weight analysis method, which uses the amount of information provided by the entropy of each indicator to determine the weight of the indicator. This method fully reflects objective decision-making, achieves scientific weighting of the evaluation indicators, avoids deviations caused by human factors, and improves the accuracy of science and technology correspondent performance evaluation;
[0067] (3) The entropy method model of the present invention is simple and easy to calculate, can comprehensively and quantitatively analyze the performance of science and technology correspondents, and is beneficial to the development of the science and technology correspondent system.
[0068] Fig. 1 is a flowchart of science and technology correspondent performance evaluation of the present invention.
[0069] Fig. 2 is a science and technology correspondent performance evaluation indicator system of the present invention.
[0070] Hereinafter, the present invention will be further described in detail with reference to the accompanying drawings.
[0071] Fig. 1 shows an overall process of a science and technology correspondent performance evaluation method based on an entropy method according to the present invention. Eight science and technology correspondents (denoted by A, B, C, D, E, F, G, and H) are evaluated using this method to verify the method of the present invention. Specific implementation steps are as follows:
[0072] S1) A science and technology correspondent performance evaluation indicator system is constructed from eight aspects: visits of science and technology correspondents, completion of inquiry logs, contribution to science and technology progress and county economy development, service type and number of science and technology correspondents, mobilization of farmers, training of farmers, user's evaluation on the work of science and technology correspondents, and effect feedback.
[0073] The science and technology correspondent performance evaluation indicator system is divided into target-level evaluation indicators, criterion-level evaluation indicators and indicator- level evaluation indicators.
[0074] The evaluation indicator system is divided into a target level, a criterion level and an indicator level.
[0075] The target-level evaluation indicators are performance evaluation levels of science and technology correspondents. The performance evaluation levels of science and technology correspondents are divided into five levels, respectively: excellent, good, ordinary, qualified, and unqualified.
[0076] The criterion-level evaluation indicators include visits of science and technology correspondents, completion of inquiry logs, contribution to science and technology progress and county economy development, service type and number of science and technology correspondents, mobilization of farmers, training of farmers, user's evaluation on the work of science and technology correspondents, and effect feedback.
[0077] The indicator-level evaluation indicators include 26 items, shown in Table 1.
[0078] Table 1: Performance evaluation indicators and attributes of science and technology correspondents Primary Indicator Secondary indicator Indicator attribute Visits of science Visit duration Forward and technology Number of visits Forward correspondents Visit distance Forward Number of after-sales return visits Forward Number of order refusals Reverse Completion of Number of times to fill in inquiry logs Forward inquiry logs Integrity of inquiry logs Forward Log acceptance evaluation score Forward
Contribution to Number of science and technology Forward science and development projects implemented technology Number of new technologies, products, and Forward progress and varieties introduced and promoted county economy Number of new varieties developed Forward development Number of rural enterprises promoted Forward Annual profit of project implementation (ten Forward thousand yuan) Service type and Number of people for unpaid services Forward number of science Number of people for paid services Moderate and technology Number of invalid people Reverse correspondents Number of people with increased income Forward Mobilization of Average profit of farmers Forward farmers Number of farmers trained Forward
[0079] The 26 items and calculation methods of the evaluation indicators are as follows:
[0080] S101) 5 evaluation indicators in the criteria for visits of science and technology correspondents, including visit duration, number of visits, visit distance, number of after-sales return visits, and number of order refusals.
[0081] Visit duration (hours): the system will automatically record a duration from arrival of a science and technology correspondent to completion of an order. The total duration of each year is equal to the sum of durations of visits in this year;
[0082] Number of visits (times): each time the science and technology correspondent successfully receives an order, the system will automatically recognize data of this time as a basis of a visit and record the visit in the number of visits. The total number of visits in each year is equal to the total number of visits in this year;
[0083] Visit distance (km): the system counts mileages from an (initial setting position) starting position to a destination of the correspondent. The sum of mileages in each year is equal to the sum of mileages of visits in this year;
[0084] Number of after-sales return visits (points): the number of after-sales return visits consists of two parts: active and passive return visits of the science and technology correspondent. Each time the science and technology correspondent actively returns for a visit, two points will be added; and one point will be added for each passive visit. The sum of return visit points in each year is the addition of the points obtained for active return visits and the points obtained for passive return visits;
[0085] Number of order refusals (points): before placing an order, a user can make a reasonable choice based on the education background, title, professional field and the like of the science and technology correspondent, and the chosen science and technology correspondent can decide whether to accept the order. In a year, if the number of refusals by the science and technology correspondent does not exceed 60 times, the system will record a score of 0; and if the number of refusals exceeds 60 times, the score will be -3 for each refusal. The number of points in each year is equal to the sum of points in this year.
[0086] S102) 3 evaluation indicators in the criteria for completion of inquiry logs, including number of times to fill in inquiry logs, integrity of inquiry logs, and log acceptance evaluation score.
[0087] Number of times to fill in inquiry logs (points): the present invention formulates an inquiry log process template, which is composed of three parts. The beginning part is basic information of each correspondent (including resume, past log link, credit rating, star rating, main research direction, length of service, etc.) and past cases resolved by the correspondent. In the middle part, the correspondent fills in the diagnosis and treatment process, etc. The ending part is a daily "homework" score line chart of the correspondent, and user feedback and comments. After each visit, the science and technology correspondent should fill in the inquiry log based on the actual situation. The number of pages of inquiry logs in each year should be equal to the number of visits of the science and technology correspondent in this year. If the number of pages does not exceed 30% of the number of visits, the system records a score of -20; if the number of pages is 31%-50% of the number of visits, the system records a score of -15; if the number of pages is 51%-70% of the number of visits, the system records a score of -10; if the number of pages is 71%-90% of the number of visits, the system records a score of -5; if the number of pages is 91%-99% of the number of visits, the system records a score of 0; if the number of pages is equal to the number of visits, the system records a score of 20;
[0088] Integrity of inquiry logs (%): the middle part of an inquiry log is filled in by the science and technology correspondent according to the actual situation of each visit. The content filled should include a type of a crop diagnosed and treated, pathological analysis, a specific method of diagnosis and treatment, treatment results, a series of drugs used during diagnosis and treatment, recovery of the crop in the later stage of diagnosis and treatment, summary experience after diagnosis and treatment, etc. Integrities of inquiry logs all times are summed and averaged as an integrity of inquiry logs in this year;
[0089] Log acceptance evaluation score (score): the present invention will provide an acceptance evaluation platform. The platform sets up a professional division column. Based on the information filled in by the correspondent, the platform intelligently identifies and extracts relevant information to match the items that need to be filled in the division column. After a certain period of time of an inquiry, that is, after the feedback period, the correspondent submits the inquiry log to the system, the system distributes the inquiry log in a region and publishes the inquiry log in the professional field, the correspondents in this field give certain evaluation scores based on professional analysis on complexity of the problem, whether the solution of the problem is an optimal plan, whether there are low-priced equivalent drugs, growth of the crop in the later stage, etc., and the evaluation information is recorded in a database of the evaluated correspondents after the evaluation. The evaluation supports text input and click input of approval and disapproval gestures (for confirmation of evaluation results) to confirm the value and quality of the current visit. The review correspondents and the evaluated correspondents are anonymous, and personal information (including personal resumes) is not involved. If the fellow correspondents click the gesture of approval, the system will add 30 scores for the correspondent. On the contrary, if the fellow correspondents click the gesture of disapproval, the system will add 15 scores for the correspondent. The log acceptance evaluation scores all times are summed and averaged as a log acceptance evaluation score in this year.
[0090] S103) 5 evaluation indicators in the criteria for contribution to science and technology progress and county economy development, including number of science and technology development projects implemented, number of new technologies, products, and varieties introduced and promoted, number of new varieties developed, number of rural enterprises promoted, and annual profit of project implementation (ten thousand yuan).
[0091] Number of science and technology development projects implemented (number): the total number of science and technology development projects implemented by the science and technology correspondent in one year;
[0092] Number of new technologies, products, and varieties introduced and promoted (number): the total number of new technologies, products, and varieties introduced and promoted in this year;
[0093] Number of new varieties developed (number): the total number of new varieties developed in this year;
[0094] Number of rural enterprises promoted (number): the total number of rural enterprises promoted in this year;
[0095] Annual profit of project implementation (ten thousand yuan): the total annual profit generated by rural enterprises through technological innovation and the introduction of new products conducted by the science and technology correspondent in this year.
[0096] S104) 4 evaluation indicators in the criteria for service type and number of science and technology correspondents, including number of people for unpaid services, number of people for paid services, number of invalid people, and number of people with increased income.
[0097] Number of people for unpaid services (number): the number of science and technology correspondents for unpaid services in the form of public lectures, on-line public teaching, countryside services, publication of planting information on websites, etc. in this year;
[0098] Number of people for paid services (number): the number of science and technology correspondents for paid services in the form of receiving user orders from the system, paid guidance on the countryside, paid classes, etc. in this year;
[0099] Number of invalid people (number): the number of invalid farmers produced when the science and technology correspondent carries out a lecture, rural science popularization, and on line teaching. Before starting a guidance, the science and technology correspondent needs to previously enter test questions about the teaching content in the system according to the teaching content. After each guidance, the system randomly distributes test papers for audiences to answer the questions. After answering, if the scores do not reach 80 or more, the audiences will be regarded as invalid. The number of invalid people is finally determined based on the number of unqualified test papers;
[00100] Number of people with increased income (number): the number of farmers who plant a certain crop in this year under the guidance of the science and technology correspondent to increase the income compared to the previous year.
[00101] S105) 2 evaluation indicators in the criteria for mobilization of farmers, including average profit of farmers and number of farmers trained.
[00102] Number of farmers trained (number): the number of farmers trained is mainly composed of two aspects: one is the number of farmers of one-to-one and one-to-many site guidance by the science and technology correspondent in one year, and the other is the number of farmers trained by the science and technology correspondent in the manner of on-line teaching, popular science lectures, distribution of production materials, etc.;
[00103] Average profit of farmers (ten thousand yuan): the harvest output of a certain crop guided by the science and technology correspondent is calculated, the crop is estimated according to the quality of the crop and the market price of the crop under the same quality, then the average profit = total output (kg) * unit price per kilogram - total cost/total number of farmers planting the crop;
[00104] S106) 5 evaluation indicators in the criteria for training of farmers, including number of trainings, number of copies of popular science materials issued, number of production guidance times, number of production information announcements, and number of popular science lectures.
[00105] Number of trainings (times): the sum of off-line and on-line trainings in each year;
[00106] Number of copies of popular science materials issued (copy): the number of copies of popular science materials issued by the science and technology correspondent in various places in a year;
[00107] Number of production guidance times (times): the total number of times the science and technology correspondent goes to the countryside to guide production in a year;
[00108] The number of production information announcements (times) is equal to the total number of announcements of production information by posting and releasing in system pages in a year;
[00109] Number of popular science lectures (times): the number of popular science lectures in a year.
[00110] S107) 1 evaluation indicator in the criteria for user's evaluation on the work of science and technology correspondents, including user order evaluation.
[00111] The user order evaluation (score) is equal to a cumulative average of users' order evaluation scores in this year. A specific method is: after an order is completed, a user can evaluate the correspondent based on the correspondent's work efficiency, service attitude, professional skills, ability to deal with problems, etc. The user evaluates the correspondent by lighting five-pointed stars on an order evaluation page. After that, the background counts the number of lighted stars to quantify a review set. There are 5 stars in the system, each star represents 20 scores, and the final evaluation score is the product of the number of stars and the value of each star. The evaluation score in each year is equal to a cumulative average of the evaluation scores in this year.
[00112] S108) 1 evaluation indicator in the criteria for effect feedback, including after-sales feedback for the science and technology correspondent,
[00113] After-sales feedback for the science and technology correspondent (points): after each order is completed, the system will track and record the growth of the crop in the later stage to establish a connection between the correspondent and the user. With user's permission, the system periodically pops up the crop growth status feedback reminder on the user's mobile phone. The user can give feedback according to the actual situation of the crop. The feedback mode may be text, pictures, audio, video, telephone contact, etc. After the content fed back is reviewed by the cloud platform, the user will obtained two points. 1 yuan can be returned for 500 points. User feedback information will also be stored in the back-end database. The cloud platform improves the accuracy of back-end artificial intelligence recognition by analyzing and collating data. Taking corn as an example, corn shows different morphology and color characteristics in different growth periods. The correspondent judges the growth stage of the corn at this time through feedback photos of the user, judges the health status of the crop through the color and shape of leaves of the corn, and tells the user the type and quantity of the fertilizer to be applied, the time of watering, etc. The after-sales feedback of the system is a two-way mechanism with rewards. Historical records and feedback information of user orders are displayed on the personal interface of the correspondent. If the correspondent actively contacts the user and properly handles the problem, the correspondent will receive 4 reward points. Similarly, if the correspondent solves the problem raised by the user, the correspondent will obtain 2 reward points, and 1 yuan can be returned for 500 points. Through this feedback mechanism, the system can better promote the connection between the user and the correspondent, and can also provide more analysis data for the cloud platform. The points in each year are equal to the cumulative sum of points all times.
[00114] S2) Actual situations of science and technology correspondents are investigated, and statistical calculation on data required for the evaluation indicators in Sl) is performed.
[00115] In order to calculate the indicator values mentioned in Sl), the following data needs to be obtained: visit duration, number of visits, visit distance, number of after-sales return visits, number of order refusals, number of times to fill in inquiry logs, integrity of inquiry logs, log acceptance evaluation scores, number of science and technology development projects implemented, number of new technologies, products and varieties introduced and promoted, number of new varieties developed, number of rural enterprises promoted, annual profit of project implementation (ten thousand yuan), number of people for unpaid services, number of people for paid services, number of invalid people, number of people with increased income, average profit of farmers, number of farmers trained, number of trainings, number of copies of popular science materials issued, number of production guidance times, number of production information announcements, number of popular science lectures, user order evaluation, user's subjective evaluation, and after-sales feedback of science and technology correspondents. Specific data of the eight science and technology correspondents A, B, C, D, E, F, G, and H in this example are shown in Table 2.
[00116] Table 2: Original data of 26 evaluation indicators of eight science and technology correspondents A B C D E F G H
Visit duration 4680 4872 3240 3048 6000 4320 5280 4488 (hours) Number of 195 203 135 127 250 178 180 220 visits (times) Visit distance 651.3 948.01 908.5 1134.1 2587.5 813.46 1013.4 1700.6 (km) 5 1 Number of 73 92 51 86 114 98 107 134 after-sales return visits (points) Number of 0 0 -6 0 -12 -3 0 0 order refusals (points) Number of 20 -5 20 20 0 20 20 -5 times to fill in inquiry logs (points) Integrity of 52.025 65.367 64.81 82.153 50.056 70.180 81.386 56.967 inquiry logs 9 3 2 4 2 2 4 2 (0%)
Log 22.692 28.152 27.77 26.811 27.78 25.786 29.833 27.954 acceptance 3 7 8 5 3 5 evaluation score (score) Number of 7 19 24 15 11 9 18 13 science and technology development projects implemented (number) Number of 23 8 26 19 34 14 11 29 new technologies, products and varieties introduced and promoted (number) Number of 6 2 1 3 4 3 2 4 new varieties developed (number) Number of 27 13 9 8 5 13 16 28 rural enterprises promoted (number) Annual profit 75 92 63.1 39.8 79.4 67.3 63.9 57.1 of project implementatio n (ten thousand yuan) Number of 2558 2215 1901 732 488 180 2019 2954 people for unpaid services (number) Number of 1143 2266 873 563 3690 781 3491 1178 people for paid services (number) Number of 144 110 42 50 220 31 247 87 invalid people (number) Numberof 2660 3018 1789 886 3244 459 4415 3998 people with increased income (number) Average profit 7.3 5.7 8.4 10.1 8.2 6.1 6.5 7.2 of farmers (ten thousand yuan) Numberof 3701 4481 2774 1295 4178 961 5510 4132 farmers trained (number) Numberof 186 154 82 72 262 89 241 291 trainings (times) Numberof 6125 5960 2082 2811 5911 1636 5788 6860 copies of popular science materials issued (copy) Number of 83 46 49 27 57 19 68 79 production guidance times (times) Number of 238 79 81 53 44 52 76 69 production information announcement s (times) Number of 112 34 51 78 21 46 66 85 popular science lectures (times) User order 80 90.93 90.88 79.4 80.24 83.82 82.77 81.04 evaluation 4 (score) After-sales 190 218 78 112 184 144 138 180 feedback for correspondent (points)
[00117] S3) Each indicator is marked as one of a forward indicator, a reverse indicator and a moderate indicator according to the data obtained in 2) and the attribute of the indicator, and the
reverse indicators and the moderate indicators are transformed into forward indicators X
[00118] The attributes corresponding to the 26 indicators are shown in Table 1.
[00119] The original data of the indicator values is processed to obtain a forward indicator of each indicator.
[00120] If the value of an indicator is larger, the performance of the science and technology correspondent is higher, and the indicator is a forward indicator; if the value of an indicator is smaller, the performance of the science and technology correspondent is lower, and the indicator is a reverse indicator; and if the value of an indicator is median, the performance of the science and technology correspondent is median, and the indicator is a moderate indicator.
[00121] Formulas for transforming the reverse indicators and the moderate indicators into
forward indicators X' are:
[00122] The reverse indicators are transformed into forward indicators: x'= M'- x (1)
[00123] The moderate indicators are transformed into forward indicators: r2x(x-mi') n," m+M
2x( ) m' M (2) M'-mi' 2 xM
[00124] M' and m' respectively represent a maximum value and a minimum value within the value range of the indicators x.
[00125] S4) Dimensionless processing is performed on each indicator based on an extreme value method, and a weight of each indicator is determined by using the entropy method.
[00126] The steps of performing dimensionless processing on each indicator based on an extreme value method, and determining a weight of each indicator by using the entropy method are as follows:
[00127] S401) dimensionless processing is performed on each obtained forward indicator by using the extreme value method:
U' x - M Mm (3)
[00128] where xgrepresents thej(jE{ 1,2,....m} ) evaluation indicator of the i(iE (1,2 .... n) )
science and technology correspondent, x is a value of the forward indicator xy after the
dimensionless processing, Mj is a maximum value of xy, and mj is a minimum value of x;
[00129] S402) A characteristic proportion or contribution pg of the i-th science and technology correspondent under thej-th indicator is calculated based on the x: x p = " (4).
i =
[00130] S403) An entropy e of the j-th indicator is calculated based on the contribution p;:
e. = - Pgln(p,,j,0: e, p 1 (5). i nn i.
[00131] S404) A difference coefficient gj of the j-th indicator is calculated based on the information entropy ej:
gJ=1-e, (6).
[00132] S405) A weight coefficient wj of the j-th indicator is calculated based on the difference coefficient gj:
J mi
(7).
[00133] Indicator weight values calculated using the entropy method are shown in Table 3.
[00134] Table 3: Science and technology correspondent evaluation indicator weight system Target layer Criterion layer Indexlayer Weight value
Wi
Visit duration (hours) 0.0382 Number of visits (times) 0.0379 Visits of science and Visit distance (km) 0.0311 technology Number of after-sales return visits 0.0381 correspondents (points) Number of order refusals (points) 0.0392 Number of times to fill in inquiry 0.0471 Completion of inquiry logs (points) logs Integrity of inquiry logs (%) 0.0392
Log acceptance evaluation score 0.0410 (score) Number of science and 0.0363 technology development projects Science and Contribution to implemented (number) technology science and Number of new technologies, 0.0382 correspondent technology progress products and varieties introduced performance and county economy and promoted (number) evaluation development Number of new varieties 0.0349 developed (number) Number of rural enterprises 0.0370 promoted (number) Annual profit of project 0.0380 implementation (ten thousand yuan) Number of people for unpaid 0.0402 Service type and services (number) number of science and Number of people for paid 0.0436 technology services (number) correspondents Number of invalid people 0.0405 (number) Number of people with increased 0.0399 income (number) Mobilization of Average profit of farmers (ten 0.0346 farmers thousand yuan) Number of farmers trained 0.0400 (number) Number of trainings (times) 0.0398 Number of copies of popular 0.0425 Training of farmers science materials issued (copy) Number of production guidance 0.0401 times (times) Number of production 0.0291 information announcements
(times) Number of popular science 0.0362 lectures (times) User's evaluation on User order evaluation (score) 0.0378 the work of science and technology correspondents Effect feedback After-sales feedback for 0.0397 correspondent (points)
[00135] S5)Aperformance evaluation index S for each science and technology correspondent is calculated based on the various indicators and the obtained weight values, and a performance evaluation level of the science and technology correspondent is determined based on the evaluation index S ;
[00136] The obtained indicator weight w; is multiplied by the ratio pi; of the i-th evaluated object on thej-th evaluation indicator to obtain a comprehensive performance score of each evaluated object, and the evaluated objects are ranked according to the scores. The formula for the comprehensive score S is as follows:
S= 100 x wj x p (8) j=1
[00137] Level determination principles and evaluation results are as follows:
[00138] The performance of the comprehensive score 905S 100 is evaluated as excellent;
[00139] The performance of the comprehensive score 80 S <90 is evaluated as good;
[00140] The performance of the comprehensive score 70 S<80 is evaluated as ordinary;
[00141]Theperformanceofthecomprehensivescore60 S<70isevaluatedasqualified;
[00142] The performance of the comprehensive score 0 S<60 is evaluated asunqualified.
Claims (5)
1. A science and technology correspondent performance evaluation method based on an entropy method, including the following steps: Si) constructing a science and technology correspondent performance evaluation indicator system from eight aspects: visits of science and technology correspondents, completion of inquiry logs, contribution to science and technology progress and county economy development, service type and number of science and technology correspondents, mobilization of farmers, training of farmers, user's evaluation on the work of science and technology correspondents, and effect feedback, wherein the science and technology correspondent performance evaluation indicator system is divided into target-level evaluation indicators, criterion-level evaluation indicators and indicator-level evaluation indicators; S2) investigating actual situations of science and technology correspondents, and performing statistical calculation on data required for the evaluation indicators in Sl); S3) marking each indicator as one of a forward indicator, a reverse indicator and a moderate indicator according to the data obtained in 2) and the attribute of the indicator, and transforming the reverse indicators and the moderate indicators into forward indicators; S4) performing dimensionless processing on each indicator based on an extreme value method, and determining a weight of each indicator by using the entropy method; and S5) calculating a performance evaluation index S for each science and technology correspondent based on the various indicators and the obtained weight values, and determining a performance evaluation level of the science and technology correspondent based on the evaluation index S.
2. The science and technology correspondent performance evaluation method based on an entropy method according to claim 1, the target-level evaluation indicators in Si) are performance evaluation levels of science and technology correspondents, and the performance evaluation levels of science and technology correspondents are divided into five levels, respectively: excellent, good, ordinary, qualified, and unqualified; the criterion-level evaluation indicators in Si) include visits of science and technology correspondents, completion of inquiry logs, contribution to science and technology progress and county economy development, service type and number of science and technology correspondents, mobilization of farmers, training of farmers, user's evaluation on the work of science and technology correspondents, and effect feedback.
3. The science and technology correspondent performance evaluation method based on an entropy method according to claim 1, the indicator-level evaluation indicators in Si) include 26 items, and the 26 items and calculation methods of the evaluation indicators are as follows: S101) 5 evaluation indicators in the criteria for visits of science and technology correspondents, including visit duration, number of visits, visit distance, number of after-sales return visits, and number of order refusals, wherein, the visit duration (hours) is equal to the sum of durations of visits in this year, the number of visits (times) is equal to the total number of visits in this year, the visit distance (km) is equal to the total visit distance in this year, the number of after-sales return visits (points) is equal to the sum of points for active return visits and points for passive return visits, which are obtained by the science and technology correspondent in this year, and the number of order refusals (points) is equal to the sum of points obtained by the science and technology correspondent for the number of refusals in this year; S102) 3 evaluation indicators in the criteria for completion of inquiry logs, including number of times to fill in inquiry logs, integrity of inquiry logs, and log acceptance evaluation score, wherein, the number of times (points) to fill in inquiry logs is equal to the total number of times to fill in inquiry logs in this year, the integrity of inquiry logs (%)= actual content filled/total demand content*100%, and the log acceptance evaluation score (score) is equal to a cumulative average of log acceptance evaluation scores every time in this year; S103) 5 evaluation indicators in the criteria for contribution to science and technology progress and county economy development, including number of science and technology development projects implemented, number of new technologies, products, and varieties introduced and promoted, number of new varieties developed, number of rural enterprises promoted, and annual profit of project implementation (ten thousand yuan), wherein, the number of science and technology development projects implemented (number) is equal to the total number of science and technology development projects implemented by the science and technology correspondent in one year, the number of new technologies, products, and varieties introduced and promoted (number) is equal to the total number of new technologies, products, and varieties introduced and promoted in this year, the number of new varieties developed (number) is equal to the total number of new varieties developed in this year, the number of rural enterprises promoted (number) is equal to the total number of rural enterprises promoted in this year, and the annual profit of project implementation (ten thousand yuan) is equal to the total annual profit generated by rural enterprises through technological innovation and the introduction of new products conducted by the science and technology correspondent in this year; S104) 4 evaluation indicators in the criteria for service type and number of science and technology correspondents, including number of people for unpaid services, number of people for paid services, number of invalid people, and number of people with increased income, wherein, the number of people for unpaid services (number) is equal to the number of science and technology correspondents for unpaid services in the form of public lectures, on-line public teaching, countryside services, publication of planting information on websites, etc. in this year, the number of people for paid services (number) is equal to the number of science and technology correspondents for paid services in the form of receiving user orders from the system, paid guidance on the countryside, paid classes, etc. in this year, the number of invalid people is equal to the total number of invalid farmers generated in this year, and the number of people with increased income (number) is equal to the total number of farmers who plant a certain crop in this year under the guidance of the science and technology correspondent to increase the income compared to the previous year, average profit of farmers (ten thousand yuan)= total annual output (kg) * unit price per kilogram - total cost/total number of farmers who plant the crop; S105) 2 evaluation indicators in the criteria for mobilization of farmers, including average profit of farmers and number of farmers trained, wherein, the number of farmers trained (number) is equal to the total number of farmers trained by the science and technology correspondent in this year, and the number of trainings (times) is equal to the total number of trainings in this year; S106) 5 evaluation indicators in the criteria for training of farmers, including number of trainings, number of copies of popular science materials issued, number of production guidance times, number of production information announcements, and number of popular science lectures, wherein, the number of copies of popular science materials issued (copy) is equal to the total number of copies of popular science materials issued in this year, the number of production guidance times (times) is equal to the total number of times the science and technology correspondent goes to the countryside to guide production in this year, the number of production information announcements (times) is equal to the total number of announcements of production information by posting and releasing in system pages in a year, and the number of popular science lectures (times) is equal to the total number of popular science lectures conducted by the science and technology correspondent in this year; S107) 1 evaluation indicator in the criteria for user's evaluation on the work of science and technology correspondents, including user order evaluation, wherein, the user order evaluation (score) is equal to a cumulative average of users' order evaluation scores every time in this year; and S108) 1 evaluation indicator in the criteria for effect feedback, including after-sales feedback for the science and technology correspondent, wherein, the after-sales feedback (points) for the science and technology correspondent is equal to the sum of points for active feedback and points for passive feedback, which are obtained by the science and technology correspondent in this year.
4. The science and technology correspondent performance evaluation method based on an entropy method according to claim 1, in S3), the method for transforming reverse indicators and moderate indicators into forward indicators is as follows: supposing x to represent a reverse indicator or a moderate indicator, formulas for
transforming the reverse indicator and the moderate indicator into forward indicators X' being: transforming the reverse indicator into a forward indicator: x'= M'- x 2x(x-m) m'+M' 2x_(M'-m' 2 transforming the moderate indicator into a forward indicator: 2(M'-x) m'+M
where M' and m' respectively represent a maximum value and a minimum value within the value range of the indicator x.
5. The science and technology correspondent performance evaluation method based on an entropy method according to claim 1, the step S4) of performing dimensionless processing on each indicator based on an extreme value method, and determining a weight of each indicator by using the entropy method are as follows: S401) performing dimensionless processing on each obtained forward indicator by using the extreme value method:
AMf - m where xy represents thej( jE (1,2,....m) evaluation indicator of the i(i E (1,2,....n} ) science and technology correspondent, x is a value of the forward indicator xy after the dimensionless processing, Mj is a maximum value of xi;, and mj is a minimum value of x;; S402) calculating a characteristic proportion or contribution Pi of the i-th science and technology correspondent under thej-th indicator based on the xi;: x.. p, = " i=1
S403) calculating an entropy ej of the j-th indicator based on the contribution pi;:
1 1 e =- p,,ln(p,,),Oei 1
S404) calculating a difference coefficient gj of thej-th indicator based on the information entropy ej:
S405) calculating a weight coefficient wj of thej-th indicator based on the difference coefficient gj:
j m i=1
Y gi
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110491805.0A CN113159609A (en) | 2021-05-07 | 2021-05-07 | Entropy value method-based scientific and technological special dispatcher performance evaluation method |
| CN2021104918050 | 2021-05-07 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021102716A4 true AU2021102716A4 (en) | 2021-07-29 |
Family
ID=76873383
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2021102716A Ceased AU2021102716A4 (en) | 2021-05-07 | 2021-05-20 | Science and technology correspondent performance evaluation method based on entropy method |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN113159609A (en) |
| AU (1) | AU2021102716A4 (en) |
| LU (1) | LU500177B1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117081141A (en) * | 2023-07-12 | 2023-11-17 | 三峡大学 | Micro-grid island division method based on entropy method-set pair analysis |
| CN117081141B (en) * | 2023-07-12 | 2024-05-28 | 三峡大学 | Micro-grid island division method based on entropy method-set pair analysis |
-
2021
- 2021-05-07 CN CN202110491805.0A patent/CN113159609A/en active Pending
- 2021-05-20 AU AU2021102716A patent/AU2021102716A4/en not_active Ceased
- 2021-05-20 LU LU500177A patent/LU500177B1/en active IP Right Grant
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117081141A (en) * | 2023-07-12 | 2023-11-17 | 三峡大学 | Micro-grid island division method based on entropy method-set pair analysis |
| CN117081141B (en) * | 2023-07-12 | 2024-05-28 | 三峡大学 | Micro-grid island division method based on entropy method-set pair analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113159609A (en) | 2021-07-23 |
| LU500177B1 (en) | 2021-11-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Putnam et al. | Explaining institutional success: the case of Italian regional government | |
| Rothenberg | Linking citizens to government: Interest group politics at common cause | |
| Ferrer et al. | The role of credentials in the Canadian labour market | |
| Dunteman | Race and Sex Differences in College Science Program Participation. | |
| CN112700688B (en) | Intelligent classroom teaching auxiliary system | |
| Schreiner | Simple Poverty Scorecard Poverty-Assessment Tool: Philippines | |
| CN102314489B (en) | Method for analyzing opinion leader in network forum | |
| Dandago et al. | Decision usefulness approach to financial reporting: A case for Malaysian Inland Revenue Board | |
| Ingels et al. | The High School Longitudinal Study of 2009 (HSLS: 09): A First Look at Fall 2009 Ninth-Graders. NCES 2011-327. | |
| CN108573347A (en) | Enterprise personnel develops channel system | |
| US20170365023A1 (en) | Computer-implemented methods, systems, and computer-readable media for identifying opportunities and/or complimentary personal traits based on identified personal traits | |
| CN110910038A (en) | Method for constructing teacher teaching portrait model based on network course | |
| CN110716917A (en) | Reading evaluation method and system based on integral system | |
| Rusydiyah et al. | Clustering of learning media user data during Covid-19 Pandemic using K-Means method based on multicultural culture in Indonesia | |
| CN109754346B (en) | Artistic course popularization management system | |
| CN104657390A (en) | Question and answer platform implementation method and system | |
| AU2021102716A4 (en) | Science and technology correspondent performance evaluation method based on entropy method | |
| LoGerfo et al. | High School Longitudinal Study of 2009 (HSLS: 09). A First Look at Fall 2009 Ninth-Graders' Parents, Teachers, School Counselors, and School Administrators. NCES 2011-355. | |
| Riabacke et al. | Eparticipation galore? Extending multi-criteria decision analysis to the public | |
| Gamage et al. | Productivity enhancing sustainable human care and knowledge management practices in Sri Lankan tea industry | |
| Ridley et al. | A suggested evaluation metric instrument for faculty members at colleges and universities. | |
| CN113139792A (en) | Specific material collection method based on crowd sensing technology | |
| Durst | Working with water: An exploration of Texas High Plains producers’ adoption of water conservation practices in irrigation management | |
| Hardcastle | Microplanning for social forestry: a description of the system designed for Karnataka social forestry project, India | |
| Craig | TheCenter Top American Research Universities: An Overview |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FGI | Letters patent sealed or granted (innovation patent) | ||
| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |