CN113159609A - Entropy value method-based scientific and technological special dispatcher performance evaluation method - Google Patents
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Abstract
The invention discloses a scientific and technological special dispatcher performance evaluation method based on an entropy method, which comprises the following steps of: the method comprises the following steps that firstly, a scientific and technological special dispatcher performance evaluation index system is constructed by 26 indexes from eight aspects of the diagnosis condition of the scientific and technological special dispatcher, the completion condition of an inquiry log, contribution to scientific and technological progress, service types, number of people and effect feedback; secondly, surveying the actual conditions of a plurality of scientific and technological specializers, and counting the data required by the evaluation indexes in the first step; thirdly, calculating each index value in the evaluation index system according to the data obtained in the second step; carrying out non-dimensionalization processing on each index based on an extreme method, and determining the weight of each index by applying an entropy method; and fifthly, calculating a comprehensive score and determining the rating level. The method has clear levels and comprehensive evaluation indexes, realizes comprehensive quantitative analysis on the performance of a scientific and technological specializer, fully reflects objective decisions, realizes scientific empowerment of the evaluation indexes, avoids deviation caused by human factors, and improves the accuracy of performance evaluation.
Description
Technical Field
The invention relates to the field of performance evaluation, in particular to a scientific and technological special dispatcher performance evaluation method based on an entropy value method.
Background
The work of the science and technology specializers covers a large social field, and more social subjects are involved, so that complicated and redundant indexes are avoided as much as possible, key indexes are caught, and indexes which are high in generality, large in representative information amount and easy to understand are selected. At present, a plurality of technical difficulties exist in researching the acquisition and application of each index system on data, so that a large amount of scientific research resources are lost and configured improperly, and a wide, layered and comprehensive evaluation system is difficult to establish. Meanwhile, subjective methods such as an expert scoring method and the like are relied on, the requirement on a specialist is high, and the actual operation has limitation.
Disclosure of Invention
The invention provides a scientific and technological special salesman performance evaluation method based on an entropy method, which aims to solve the problems, establishes a comprehensive evaluation system, determines the weight by using an objective entropy method, is more accurate and persuasive, and can accurately and reasonably evaluate the performance of each scientific and technological special salesman.
The purpose of the invention is realized by the following technical scheme.
An entropy value method-based scientific and technological special dispatcher performance evaluation method comprises the following implementation steps:
s1) constructing a performance evaluation index system of the scientific and technological specializer from eight aspects, namely the visit condition of the scientific and technological specializer, the completion condition of a consultation log, contribution to scientific progress and county economic development, the service type and number of people of the scientific and technological specializer, the condition of a driving farmer, the condition of training the farmer, the operation evaluation condition of the user on the scientific and technological specializer and effect feedback. The performance evaluation index system of the science and technology special distributor is divided into a target layer evaluation index, a criterion layer evaluation index and an index layer evaluation index;
s2) investigating the actual conditions of a plurality of scientific and technical distributors, and carrying out statistical calculation on the data required by the evaluation indexes in the step S1);
s3) labeling each index as one of a positive index, a negative index and a moderate index according to the data obtained in the step 2) and the attributes of the indexes, and converting the reverse index and the moderate index into the positive index;
s4) carrying out non-dimensionalization processing on each index based on an extreme method, and determining each index weight by applying an entropy method;
s5) calculating the performance rating index S of the science and technology speciality according to the indexes and the obtained weight values, and determining the performance rating level of the science and technology speciality according to the rating index S.
Further, the target layer evaluation index in the step S1) is a performance rating of the science and technology specializer. The performance evaluation grade of the science and technology specially assigned personnel is divided into five grades, which are respectively: excellent, good, general, qualified and unqualified.
Further, the criterion layer evaluation indexes in the step S1) include eight aspects, namely, a condition of going out a medical service of a scientific and technological specializer, a condition of completion of a log of a consultation, a contribution to scientific and technological progress and county-area economic development, a service type and number of people of the scientific and technological specializer, a condition of driving farmers, a condition of training farmers, a condition of evaluating operation of a user on the scientific and technological specializer, and effect feedback.
Further, the index layer evaluation index in step S1) includes 26 items, and the calculation method of these 26 items of indexes and evaluation indexes is as follows:
s101) 5 evaluation indexes in the medical expert panel visit condition criteria comprise the visit duration, the number of times of the visit, the visit distance, the number of times of the after-sale re-visit and the number of times of order rejection. Wherein the content of the first and second substances,
the length of time (hours) of the visit is equal to the sum of the length of time of each visit in the year;
the number of times of the out-patient (times) is equal to the sum of the number of times of the out-patient in the year;
the distance of the home visit (kilometers) is equal to the sum of the distance of the home visit in the year;
the number of after-sale re-diagnosis times (integral) is equal to the sum of the integral obtained by the number of active re-diagnosis times and the integral obtained by the number of passive re-diagnosis times of the technical special dispatcher in the year;
the number of times of refusal of orders (points) is equal to the sum of the points obtained by the number of times of refusal of the technical special dispatcher in the year.
S102) evaluating 3 items in the finish degree condition criteria of the inquiry logs, wherein the evaluation items comprise the times of filling the inquiry logs, the integrity of the inquiry logs and the log acceptance evaluation scores. Wherein the content of the first and second substances,
the number of times (points) of filling the inquiry logs is equal to the sum of the points of the number of times of filling the inquiry logs in the year;
the completeness (%) of the inquiry log is 100% of the actual filled content/total required content;
the log acceptance rating score (score) is the sum of the acceptance rating scores of each log/total number of times of filling the inquiry log in the year.
S103) evaluating 5 items of indexes in the contribution criteria of scientific and technological progress and county and territory economic development, wherein the evaluation indexes comprise the number of implementation scientific and technological development items, the number of introduction and popularization of new technologies, products and varieties, the number of new varieties, the number of enterprises in the development village and the annual profit (ten thousand yuan) of project realization. Wherein the content of the first and second substances,
the number (number) of the implemented scientific and technological development projects is equal to the sum of the number of the implemented scientific and technological development projects within one year of the scientific and technological specializer; the number (number) of the introduced and popularized new technology, products and varieties is equal to the sum of the number of the introduced and popularized new technology, products and varieties in the year;
the number of new varieties developed (number) is equal to the sum of the number of new varieties developed in the year;
the number (number) of the rural enterprises which are promoted to develop is equal to the sum of the number of the rural enterprises which are promoted in the year;
the annual profit (ten thousand yuan) for realizing the project is equal to the annual profit sum generated by rural enterprises driven by the technical innovation and the introduction of new products of a scientific and technological special distributor in the year.
S104) evaluating 4 items in the technical special dispatcher service type and number of people, including the number of unpaid services, the number of compensated services, the number of invalid services and the number of income increasing people. Wherein the content of the first and second substances,
the number of the people who have no compensation service is equal to the number of the people who have no compensation service in the forms of public service lectures, network public service lectures, country service, planting information published on a website and the like of the scientific and technological special local dispatcher in the year;
the number of compensated service people (number) is equal to the number of compensated service people in the form of receiving user orders, giving guidance for paying the country, developing compensated classrooms and the like through a science and technology special distributor in the year;
the number of invalid persons is equal to the sum of the number of invalid farmers produced in the year;
the number of income increase (number) is equal to the sum of the number of income yield of a certain crop planted in the year under the guidance of a science and technology specializer compared with the number of income increase in the previous year.
S105) driving 2 evaluation indexes in the peasant condition criteria, including average profit of peasants and number of peasants trained. Wherein the content of the first and second substances is controlled,
the number of the trained farmers is equal to the total number of the trained farmers in the year;
the average profit for a farmer (ten thousand dollars) is the total yield per year (kg) per kilogram unit price-total cost/total number of farmers planting the crop.
S106) training the condition criteria of the farmers for 5 items of evaluation indexes, including training times, the number of issued popular science data, production guidance times, production information publicity times and times of developing popular science lectures. Wherein the content of the first and second substances,
training times (times) equal to the sum of the training times of the year;
the number of the issued science popularization data is equal to the sum of the number of the issued science popularization data in the year;
the production guide times (times) are equal to the sum of the rural guide production times of the science and technology special distributor in the year;
the number of production information publicity times (times) is equal to the sum of the number of production information posting announcements in one year and the number of production information posting announcements placed on a system page;
the times (times) of developing the science popularization lectures are equal to the sum of the times of developing the science popularization lectures of the science and technology speciality in the year.
S107) the evaluation index 1 item in the evaluation condition criteria of the scientific and technological special salesman comprises user order evaluation, wherein,
user order rating (score) is the sum of the rating scores of each order of the user in the year and/or the total number of orders.
S108) evaluation index 1 item in the effect feedback criterion comprises after-sales feedback of the science and technology specializer. Wherein, the feedback (integral) after sale of the science and technology specializer is equal to the sum of the integral obtained by the active feedback and the integral obtained by the passive feedback of the science and technology specializer in the year.
Further, in the step S3), the backward direction index and the moderate direction index are converted into the forward direction index. The larger the index value is, the higher the performance of the science and technology special dispatcher is, the index is a forward index; the smaller the index value is, the higher the performance of the science and technology special dispatcher is, the index is a reverse index; the index is intermediate in value, but is not small enough, indicating that the higher the performance of the science and technology specializer, the index is a moderate index. The method for converting the reverse index and the moderate index into the forward index comprises the following steps:
let x represent the reverse index and the moderate index, the formula for converting the reverse index and the moderate index into the forward index x' is:
the reverse index is converted into the forward index: x ═ M' -x
The moderate indicator is converted into a positive indicator:
wherein M 'and M' respectively represent index xMaximum and minimum values within a range of values.
Further, the step of performing non-dimensionalization processing on each index based on the extreme method and determining the weight of each index by applying the entropy method in step S4) is as follows:
s401) carrying out non-dimensionalization treatment on each obtained forward indicator by using an extreme method:
wherein xijThe j (j ∈ {1, 2.... m }) assessment index, x, representing the i (i ∈ {1, 2.. n }) science and technology specializeri'jIs a forward direction index xijDimensionless processed value, MjIs xijMaximum value of (1), mjIs xijIs measured.
S402) according to xijCalculating the characteristic proportion or contribution degree p of the ith scientific and technological specializer under the jth indexij：
S403) according to the contribution degree pijCalculating the entropy e of the jth indexj：
S404) according to the information entropy value ejCalculating the difference coefficient g of the j indexj：
gj＝1-ej。
S405) according to the difference coefficient gjCalculating the weight coefficient w of the j indexj：
Further, the performance in the step 5)The efficiency index S is obtained by adopting a weighted summation method, and the calculation formula is as follows:
and determining the performance rating level of the scientific and technological specializer according to the score obtained by the formula S. The relationship between the score and the performance rating level of the scientific and technical special dispatcher is as follows: s is more than or equal to 90 and less than or equal to 100, preferably more than or equal to 80 and less than or equal to 90, more preferably more than or equal to 70 and less than or equal to 80, more preferably more than or equal to 60 and less than or equal to 70, and more preferably more than or equal to 0 and less than or equal to 60.
The invention has the beneficial effects that:
(1) the assessment system comprises eight aspects, namely, the attendance condition of a scientific and technological distributor, the completion condition of a consultation log, the contribution to scientific and technological progress and county economic development, the service type and the number of people of the scientific and technological distributor, the condition of driving farmers, the condition of training farmers, the operation evaluation condition of users on the scientific and technological distributor and effect feedback, 26 assessment items are clear in hierarchy, assessment indexes cover the whole area, and the scientific and technological distributor can be comprehensively assessed;
(2) the entropy method of the invention belongs to an objective weight analysis method, which utilizes the information quantity provided by the entropy of each index to determine the index weight, fully reflects objective decision, realizes scientific weighting of the evaluation index, avoids deviation caused by human factors, and improves the accuracy of performance evaluation of science and technology specializers;
(3) the entropy method provided by the invention has the advantages of simple model and simple and convenient calculation, can comprehensively and quantitatively analyze the performance of the science and technology specializer, and is beneficial to the development of a science and technology specializer system.
Drawings
FIG. 1 is a flow chart of the performance assessment of a technical dispatcher of the present invention.
FIG. 2 is a system of technical specializer performance assessment indicators in accordance with the present invention.
Detailed description of the invention
The present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1 shows the overall flow of the method for evaluating the performance of a scientific and technical special salesman based on the entropy method, and the method is used for evaluating the eight-position scientific and technical salesman (represented by A, B, C, D, E, F, G, H) in a certain area to verify the method. The specific implementation steps are as follows:
s1) constructing a performance evaluation index system of the science and technology specializer from eight aspects of the visiting situation of the science and technology specializer, the completion situation of the inquiry log, the contribution to the science and technology progress and the county and country economic development, the service type and number of people of the science and technology specializer, the situation of the driving farmers, the situation of the training farmers, the operation evaluation situation of the users on the science and technology specializer and the effect feedback.
The performance evaluation index system of the science and technology special distributor is divided into a target layer evaluation index, a criterion layer evaluation index and an index layer evaluation index.
The evaluation index system is divided into a target layer, a criterion layer and an index layer.
The target layer evaluation index is the performance evaluation grade of the science and technology special dispatcher, and the performance evaluation grade of the science and technology special dispatcher is divided into five grades which are respectively as follows: excellent, good, general, qualified and unqualified.
The standard layer evaluation indexes comprise eight aspects of the diagnosis condition of a scientific and technological distributor, the completion condition of a consultation log, the contribution to scientific and technological progress and county-area economic development, the service type and the number of people of the scientific and technological distributor, the condition of driving farmers, the condition of training the farmers, the operation evaluation condition of the users on the scientific and technological distributor and effect feedback.
The index layer evaluation index includes 26 items, see table 1.
Table 1: performance evaluation index and attribute of science and technology special distributor
The 26 indexes and the evaluation index are calculated as follows:
s101) 5 evaluation indexes in the medical speciality visit condition criteria comprise visit duration, visit times, visit distance, after-sale review times and order rejection times; wherein the content of the first and second substances,
length of visit (hours): the system automatically records the length of time the science and technology specializer takes to complete the order from the arrival at the destination. The sum of the time length of each year is equal to the sum of the time lengths of each visit of the year;
number of visits (times): after the science and technology speciality receives the order successfully each time, the system can automatically recognize the data as the basis of one visit and record the data in the number of times of the visit. The total number of times of visit in each year is equal to the sum of the number of times of visit in the year;
distance of visit (km): the system counts the miles from the origin (initial setup location) to the destination of the dispatcher. The sum of the mileage of each year is equal to the sum of the mileage of each visit in the year;
number of after-market visits (score): the number of after-sale re-diagnosis times consists of two parts, namely active re-diagnosis and passive re-diagnosis, of a science and technology speciality, and the integral is divided into two parts after each active re-diagnosis of the science and technology speciality; one point is added to the integral every time of passive double diagnosis. The total number of the annual return diagnosis integrals is the sum of the integrals obtained by the active return diagnosis and the integrals obtained by the passive return diagnosis;
number of times of order refusal (point): before the user initiates the order, the user can make reasonable selections according to the academic calendar, the job title, the professional field and the like of the science and technology specializer, and the selected science and technology specializer can decide whether to accept the order. In one year, if the number of times of refusal of diagnosis of the science and technology specializer is not more than 60, the system records a score of 0; if the number exceeds 60, the integral is-3 points for each refusal. The score per year is equal to the sum of each score during the year.
S102) evaluating 3 items in the completion condition criteria of the inquiry logs, wherein the evaluation items comprise the times of filling the inquiry logs, the integrity of the inquiry logs and log acceptance evaluation scores; wherein the content of the first and second substances,
number of times the inquiry log was filled in (score): the invention relates to a flow template for an inquiry log, which consists of three parts. The starting part comprises basic information of each special dispatcher (including records, past log links, credibility, star level, main research direction, time duration of duties and the like) and the past case solved by the special dispatcher, the middle part comprises the diagnosis and treatment process filled in by the special dispatcher and the like, and the ending part comprises a daily 'operation' scoring line graph of the special dispatcher and a user feedback comment. After each visit, the technical specializer needs to fill in the inquiry log according to the actual situation. The number of sections of the inquiry logs in each year should be equal to the number of visits of the science and technology specialties in the year. If the number of the sections does not exceed 30% of the number of the visits, the system records the score of-20 points; if the number of the sections is between 31% and 50% of the number of the visits, the system records the score of-15 points; if the number of the sections is 51% -70% of the number of the visits, the system records the score of-10 points; if the number of the sections is between 71% and 90% of the number of the visits, the system records the score of-5 points; if the number of the sections is between 91% and 99% of the number of the visits, the system records the score of 0; if the number of the sections is equal to the number of the visits, the system records the score of 20 points;
the middle part of the inquiry log is filled by a special technical distributor according to the actual condition of each visit, and the filled contents comprise the types of the diagnosis crops, pathological analysis, the specific method of the diagnosis, the treatment result, a series of medicines used during the diagnosis and treatment, the recovery condition of the later-period diagnosis crops, the summary after the diagnosis and treatment and the like. Accumulating the integrity of each visit log and filling the number of times of the inquiry log as the integrity of the visit log of the year;
log acceptance rating score (score): the invention provides an acceptance evaluation platform. A professional division bar is established on the platform, and related information is intelligently identified and extracted to be matched with items required to be filled in the division bar according to information filled in by a special dispatcher in the platform. After the inquiry is finished for a period of time, namely after the feedback period, the inquiry log is submitted to the system by the special distributor, the system distributes the inquiry log according to regions and distributes the inquiry log in the professional field, the special distributor in the field gives a certain evaluation score according to professional analysis such as the complexity of the problem, the optimal problem solution scheme, the low-price equivalent drug, the growth condition of later-period crops and the like, and the evaluation information is recorded into a database of the evaluated special distributor after evaluation. The evaluation supports text input and click input of approval and disapproval gestures (which is convenient for evaluation result confirmation) to confirm the value and quality of the diagnosis, wherein the panel panelist and the evaluated panelist are anonymous and do not relate to personal information (including personal records). The peer dispatcher clicks on the approval gesture, and the system scores the dispatcher by 30 points. Conversely, clicking against the gesture, the system scores the dispatcher for a score of 15. And accumulating and summing the log acceptance evaluation scores of each time and filling the total times of the inquiry log as the log acceptance evaluation score of the year.
S103) evaluating 5 items of indexes in the contribution criteria of scientific and technological progress and county and territory economic development, wherein the evaluation indexes comprise the number of scientific and technological development items, the number of introduced and popularized new technologies, products and varieties, the number of new varieties, the number of rural enterprises to be developed and the annual profit (ten thousand yuan) of the project; wherein the content of the first and second substances,
number of scientific and technological development projects implemented (number): the total number of scientific and technological development projects participated in one year by a scientific and technological specializer; introducing and popularizing new technology, products and the number (one) of varieties: the total number of new technologies, products and varieties is introduced and popularized in the year;
number (number) of new varieties developed: the sum of the number of new products developed in the year;
the number of rural enterprises to be promoted (one): the total number of rural enterprises is promoted in the year;
project realized annual profit (ten thousand yuan): the scientific and technological specializer drives the annual profit sum generated by rural enterprises through technical innovation and new product introduction in the year.
S104) evaluating 4 items of indexes in the service type and number criteria of the scientific and technological specializer, including the number of unpaid services, the number of compensated services, the number of invalid services and the number of income increasing persons; wherein the content of the first and second substances,
number of free service people (number): the number of the science and technology special local dispatchers who can serve the services without compensation in the form of public welfare lectures, network public welfare lectures, homeland services, public information distribution on websites and the like in the year;
number of compensated services (number): receiving a user order, a paid country instruction, a paid class and other forms of paid service number by a science and technology specializer in the year through a system;
number of invalid persons (number): the number of invalid farmers generated by scientific and technological specializers in lecture, rural science popularization and network teaching. Before starting the instruction, the science and technology specializer needs to enter test questions related to the teaching content into the system in advance according to the teaching content. After each instruction is finished, the system randomly issues test paper to allow the audience to answer questions. After answering, marking the number of invalid persons as invalid if the score is not more than 80 points, and finally determining the number of invalid persons according to the number of unqualified test papers;
number of income increasing persons (ones): the harvest yield for growing a certain crop is increased compared to the number of people in the previous year under the direction of the science and technology specializers.
S105) driving 2 evaluation indexes in the peasant condition criterion, including average profit of the peasants and the number of the peasants; wherein the content of the first and second substances is controlled,
training farmers (number of people): the number of people training farmers mainly comprises two aspects, namely the number of people training the technical special local dispatchers to the farmers for one-to-one and one-to-many field instruction in one year; on the other hand, the technical special local dispatcher trains the number of the farmers through ways of network teaching, science popularization lecture, production data distribution and the like in one year;
average profit for farmers (ten thousand yuan): the yield of a certain crop guided by the technical dispatcher is counted, and the crop is evaluated according to the quality of the crop and the market price of the crop under the same quality, so that the average profit is the total yield (kg) per kilogram unit price-total cost/total number of farmers planting the crop.
S106) training 5 evaluation indexes in the condition criteria of the farmers, including training times, the number of issued popular science data, production guidance times, production information publicity times and times of developing popular science lectures; wherein the content of the first and second substances,
training times (times): the sum of offline and online training in each year;
issuing the parts of popular science data: the scientific and technological speciality in one year distributes the share of popular science data related to agricultural production and the like in various places;
production guide times (times): the technology specializer guides the production times in the middle and lower villages of one year;
the number of production information publicity times (times) is equal to the sum of the number of production information posting announcements in one year and the number of production information posting announcements placed on a system page;
number of times of developing science popularization lectures (times): the number of times of developing science popularization lectures in one year.
S107) evaluating an index 1 item in the evaluation condition criteria of the user on the operation of the science and technology special distributor, wherein the evaluation comprises user order evaluation; wherein the content of the first and second substances is controlled,
the user order evaluation (score) is equal to the average value of the accumulated summation of the order evaluation scores of the users each time in the year, and the specific method comprises the following steps: after the order is finished, the user can evaluate the special dispatcher according to the working efficiency, the service attitude, the professional skill, the problem processing capability and the like of the special dispatcher. The user evaluates the special salesman by lighting the five-pointed star of the order evaluation page. Then, the background quantifies the comment set by counting the number of the lighted stars; the system has a total of 5 stars, each star represents 20 points, and the final evaluation score is the product of the number of stars and the value of each star. The annual rating score is equal to the annual rating score cumulative total and/or order count.
S108) evaluation index 1 item in the effect feedback criterion comprises after-sales feedback of the science and technology specializer.
Technical specializer after-sales feedback (points): after each order is completed, the system tracks and records the growth condition of the later-stage crops, and establishes a connection between the special dispatcher and the user. After the system is allowed by the user, a feedback prompt of the crop growth condition can be periodically popped up on the mobile phone of the user, the user can feed back according to the actual condition of the crop, and the feedback mode can be characters, pictures, audio, video, telephone contact and the like. After the feedback content is audited by the cloud platform, the user can obtain two points, and each point is integrated with 500 points, and 1 yuan can be presented. The information fed back by the user can also be stored in a database at the background, and the cloud platform improves the accuracy of background artificial intelligence recognition by analyzing and sorting the data. Taking corn as an example, the corn can present different shapes and color characteristics in different growth periods, and a special dispatcher judges the growth stage of the corn at the moment through a feedback photo of a user, judges the health condition of crops through the color and the shape of leaves of the corn, and informs the user of the type and the quantity of fertilizer to be applied, the watering time and the like. The after-market feedback for the system is a two-way, reward-containing mechanism. The personal interface of the special dispatcher can display the historical record and feedback information of the user order, and if the special dispatcher actively contacts the user and properly handles the problem, the special dispatcher can obtain 4 point rewards. Similarly, if the dispatcher solves the problem posed by the user, the dispatcher will receive 2 points awarded, 500 points per collective, and may return 1 dollar. Through the feedback mechanism, the system can better promote the contact between the user and the dispatcher and also can provide more analysis data for the cloud platform. The integration per year is equal to the cumulative sum of each integration.
S2) investigating the actual situation of a plurality of technical dispatchers, and counting the data required for evaluating the index in the step S1).
To calculate S1), the data to be obtained includes visit duration, visit times, visit distance, after-sale review times, order rejection times, number of times of filling out the inquiry log, integrity of the inquiry log, log acceptance evaluation score, number of implemented scientific and technological development projects, introduction of new technology for promotion, number of products, varieties, number of new varieties to be developed, number of enterprises to be promoted to develop villages, annual profit (ten thousand yuan) of project implementation, number of uncompensated services, number of compensated services, number of invalid persons, number of increased income persons, average profit of farmers, number of trained farmers, number of training times, number of times of issuing science popularization data, number of production guidance times, number of production information display times, number of times of developing science popularization seats, user order evaluation, user subjective evaluation, after-sale feedback of science specializers, A, B, C, in this example, time of business history, and history of business history, etc D. Specific data for an E, F, G, H eight-bit technology specializer are shown in Table 2.
Table 2 raw data of 26 evaluation indexes of eight technical specializers.
S3) labeling each index as one of a forward index, a reverse index and a moderate index according to the data obtained in the step 2) and the self-attribute of the index, and converting the reverse index and the moderate index into the forward index x'.
The attributes corresponding to the 26 indices are shown in table 1.
Processing the original data of the index values to obtain forward indexes of all the indexes;
the larger the index value is, the higher the performance of the science and technology special dispatcher is, the index is a forward index; the smaller the index value is, the higher the performance of the science and technology specially-assigned personnel is, the index is a reverse index; the index is intermediate in value, but is not large or small, indicating that the higher the performance of the science and technology specializer, the index is a moderate index.
The formula for converting the reverse index and the moderate index x into the forward index x' is as follows:
the reverse index is converted into the forward index: x '═ M' -x (1)
The moderate indicator is converted into a positive indicator:
wherein, M 'and M' respectively represent the maximum value and the minimum value in the value range of the index x.
S4) carrying out non-dimensionalization processing on each index based on an extreme value method, and determining each index weight by applying an entropy method.
Carrying out non-dimensionalization processing on each index by applying an extreme-based method, and determining the weight of each index by applying an entropy method, wherein the method comprises the following steps of:
s401) carrying out non-dimensionalization treatment on each obtained forward indicator by using an extreme method:
wherein xijThe j (j ∈ {1, 2.... m }) assessment index, x, representing the i (i ∈ {1, 2.. n }) science and technology specializeri'jIs a forward direction index xijDimensionless processed value, MjIs xijMaximum value of (1), mjIs xijIs measured.
S402) according to xijCalculating the characteristic proportion or contribution degree p of the ith scientific and technological specializer under the jth indexij：
S403) according to the contribution degree pijCalculating the entropy e of the jth indexj：
S404) according to the information entropy value ejCalculating the difference coefficient g of the j indexj：
gj＝1-ej (6)。
S405) according to the difference coefficient gjCalculating the weight coefficient w of the j indexj：
The index weight values calculated using the entropy method are shown in table 3.
Table 3: the science and technology specializer evaluates the index weight system.
S5) calculating the performance rating index S of the science and technology special dispatcher according to the indexes and the obtained weight values, and determining the performance rating level of the science and technology special dispatcher according to the rating index S;
the obtained index weight wjRatio p to ith evaluated object on jth assessment indexijAnd multiplying to obtain the performance comprehensive scores of the evaluation objects, and ranking according to the scores. The composite score S is formulated as follows:
the grade judgment principle and the evaluation result are as follows:
the performance rating of the comprehensive score of 90-100S is excellent;
the performance rating of the comprehensive score of 80-90 is good;
the performance rating of the comprehensive score of 70-80 is general;
the performance rating of the comprehensive score of 60-70S is qualified;
the performance rating that the comprehensive score is more than or equal to 0 and less than 60 is unqualified.
The foregoing is a more detailed description of the present invention that is presented in conjunction with specific embodiments, and the practice of the invention is not to be considered limited to those descriptions. For those skilled in the art to which the invention pertains, several simple inferences or alternatives may be made without departing from the spirit of the invention, and all should be considered within the scope of the invention.
Claims (6)
1. A scientific and technological dispatcher performance evaluation method based on an entropy method is characterized by comprising the following steps:
1) constructing a scientific and technological special distributor performance evaluation index system from eight aspects of the visiting condition of a scientific and technological special distributor, the completion condition of a consulting log, the contribution to scientific and technological progress and county economic development, the service type and the number of people of the scientific and technological special distributor, the condition of a driving farmer, the condition of a training farmer, the operation evaluation condition of the scientific and technological special distributor by a user and effect feedback, wherein the scientific and technological special distributor performance evaluation index system is divided into a target layer evaluation index, a criterion layer evaluation index and an index layer evaluation index;
2) investigating the actual conditions of a plurality of scientific and technological specializers, and carrying out statistical calculation on data required by the evaluation indexes in the step 1);
3) labeling each index as one of a forward index, a reverse index and a moderate index according to the data obtained in the step 2) and the self-attribute of the index, and converting the reverse index and the moderate index into the forward index;
4) carrying out non-dimensionalization processing on each index based on an extreme method, and determining the weight of each index by applying an entropy method;
5) and calculating a performance evaluation index S of the scientific and technological speciality according to the indexes and the obtained weight values, and determining the performance evaluation level of the scientific and technological speciality according to the performance evaluation index S.
2. The method as claimed in claim 1, wherein the target layer evaluation index in step 1) is a performance rating level of the science and technology specializer, and the performance rating level of the science and technology specializer is divided into five levels, which are: excellent, good, general, qualified, unqualified;
the standard layer evaluation indexes comprise eight aspects of the diagnosis condition of the scientific and technological specially-assigned personnel, the completion condition of the inquiry log, the contribution to scientific and technological progress and county economic development, the service type and the number of people of the scientific and technological specially-assigned personnel, the condition of driving farmers, the condition of training the farmers, the operation evaluation condition of the users on the scientific and technological specially-assigned personnel and effect feedback.
3. The method as claimed in claim 1, wherein the index layer evaluation indexes in step 1) include 26 indexes, and the 26 indexes and the evaluation indexes are calculated as follows:
301) 5 evaluation indexes in the technical special local dispatcher's visit condition criteria comprise the visit duration, the number of times of the visit, the distance of the visit, the number of times of after-sale re-visits and the number of times of order refusal; wherein the content of the first and second substances,
the length of time (hours) of the visit is equal to the sum of the length of time of each visit in the year;
the number of times of the out-patient (times) is equal to the sum of the number of times of the out-patient in the year;
the distance of the home visit (kilometers) is equal to the sum of the distance of the home visit in the year;
the number of after-sale re-diagnosis times (integral) is equal to the sum of the integral obtained by the number of active re-diagnosis times and the integral obtained by the number of passive re-diagnosis times of the technical special dispatcher in the year;
the number of times of refusal of the order (point) is equal to the sum of points obtained by the number of times of refusal of the technical special dispatcher in the year;
302) 3 evaluation indexes in the completion condition criteria of the inquiry logs comprise the times of filling the inquiry logs, the integrity of the inquiry logs and log acceptance evaluation scores; wherein the content of the first and second substances,
the number of times (points) of filling the inquiry logs is equal to the sum of the points of the number of times of filling the inquiry logs in the year;
the completeness (%) of the inquiry log is 100% of the actual filled content/total required content;
the log acceptance evaluation score (score) is the sum of the log acceptance evaluation scores of each time in the year/the total times of filling the inquiry log;
303) 5 evaluation indexes in the contribution criteria of scientific and technological progress and county and territory economic development comprise the number of scientific and technological development projects, the number of new technologies, products and varieties introduced and popularized, the number of new varieties developed, the number of rural enterprises promoted and developed, and annual profits (ten thousand yuan) realized by the projects; wherein the content of the first and second substances,
the number (number) of the implemented scientific and technological development projects is equal to the sum of the number of the implemented scientific and technological development projects within one year of the scientific and technological specializer;
the number (number) of the introduced and popularized new technology, products and varieties is equal to the sum of the number of the introduced and popularized new technology, products and varieties in the year;
the number of new varieties developed (number) is equal to the sum of the number of new varieties developed in the year;
the number (number) of the rural enterprises which are promoted to develop is equal to the sum of the number of the rural enterprises which are promoted in the year;
the annual profit (ten thousand yuan) for realizing the project is equal to the annual profit sum generated by rural enterprises driven by the technical innovation and the introduction of new products of a scientific and technological special distributor in the year;
304) 4 evaluation indexes in the science and technology special dispatcher service type and number criteria comprise the number of unpaid services, the number of paid services, the number of invalid persons and the number of income increasing persons; wherein the content of the first and second substances,
the number of the people who have no compensation service is equal to the number of the people who have no compensation service in the forms of public service lectures, network public service lectures, country service, planting information published on a website and the like of the scientific and technological special local dispatcher in the year;
the number of compensated service people (number) is equal to the number of compensated service people in the form of receiving user orders, giving guidance for paying the country, developing compensated classrooms and the like through a science and technology special distributor in the year;
the number of invalid persons is equal to the sum of the number of invalid farmers produced in the year;
the number of income increasing people (number) is equal to the sum of the number of income increasing yield of a certain crop planted in the year under the guidance of a science and technology specializer compared with the number of income increasing people in the previous year;
305) driving 2 evaluation indexes in the peasant condition criteria, including average profit of peasants and the number of the trained peasants; wherein the content of the first and second substances,
the number of the trained farmers is equal to the total number of the trained farmers in the year;
average profit (ten thousand yuan) for the farmers-total cost per kilogram per unit price per year (kg) per total farmer planted with the crop;
306) 5 evaluation indexes in the condition criteria of training farmers comprise training times, the number of issued science popularization data, production guidance times, production information publicity times and the times of developing science popularization lectures; wherein the content of the first and second substances,
training times (times) equal to the sum of the training times of the year;
the number of the issued science popularization data is equal to the sum of the number of the issued science popularization data in the year;
the production guide times (times) are equal to the sum of the rural guide production times of the science and technology special distributor in the year;
the number of production information publicity times (times) is equal to the sum of the number of production information posting announcements in one year and the number of production information posting announcements placed on a system page;
the times (times) for developing the science popularization lectures are equal to the sum of the times for developing the science popularization lectures of the science and technology special distributor in the year;
307) the evaluation index 1 item in the evaluation condition criteria of the user on the scientific and technological special salesman work comprises the user order evaluation,
the user order evaluation (score) is the sum of the evaluation scores of each order of the user in the year and/or the total number of orders;
308) evaluation index 1 item in the effect feedback criterion comprises after-sales feedback of a scientific and technological special distributor; wherein the content of the first and second substances,
the feedback (point) after sale of the science and technology specializer is equal to the sum of the point obtained by the active feedback and the point obtained by the passive feedback of the science and technology specializer in the year.
4. The method for evaluating the performance of a scientific and technological specializer based on an entropy method as claimed in claim 1, wherein the method for converting the backward index and the moderate index into the forward index in the step 3) comprises the following steps:
let x represent the reverse index and the moderate index, the formula for converting the reverse index and the forward index into the forward index x' is as follows:
the reverse index is converted into the forward index: x ═ M' -x
The moderate indicator is converted into a positive indicator:
wherein, M 'and M' respectively represent the maximum value and the minimum value in the value range of the index x.
5. The method for evaluating the performance of a science and technology specializer based on an entropy method according to claim 1, wherein the step 3) of performing non-dimensionalization processing on each index based on the extreme method and determining the weight of each index by applying the entropy method comprises the following steps:
501) carrying out non-dimensionalization treatment on each obtained forward indicator by using an extreme method:
wherein xijJ (j ∈ {1, 2.... m }) evaluation index x 'representing ith (i ∈ {1, 2.... n }) science and technology specializer'ijIs a forward direction index xijDimensionless processed value, MjIs xijMaximum value of (1), mjIs xijMinimum value of (d);
502) according to xijCalculating the characteristic proportion or contribution degree p of the ith scientific and technological specializer under the jth indexij：
503) According to the contribution degree pijCalculating the entropy e of the jth indexj：
504) According to the information entropy ejCalculating the difference coefficient g of the j indexj：gj＝1-ej；
505) According to the coefficient of difference gjCalculating the weight coefficient w of the j indexj：
6. The method for evaluating the performance of a scientific and technological special dispatcher based on an entropy method as claimed in claim 1, wherein the performance evaluation index S in the step 5) is obtained by a weighted summation method, and the calculation formula is as follows:
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Application publication date: 20210723 |