CN110782131A - Performance evaluation method for water cooperation organization of farmers - Google Patents
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Abstract
The embodiment of the invention discloses a performance evaluation method for a water cooperation organization for farmers, which comprises the following steps: constructing a performance evaluation index system, and constructing a balance score card evaluation system of a water cooperation organization of farmers from four criteria layers of work performance, customer service, internal management, learning and development; allocating evaluation index weight, and determining the index weight by adopting a main and objective analysis method combining an analytic hierarchy process and an expert judgment method; performing fuzzy comprehensive evaluation, and establishing a membership function by combining a factor set and a comment set of performance evaluation of a water cooperation organization of farmers to perform overall grade evaluation; and (4) carrying out importance analysis on factors influencing the development of the water cooperation organization of the peasants by utilizing an approximate ideal solution sorting model to obtain the most important factors and the least important factors influencing the development of the water cooperation organization of the peasants. The embodiment of the invention solves the problems of difficult water consumption management and incomplete performance evaluation system of water consumption cooperation organization in the prior rural area.
Description
Technical Field
The embodiment of the invention relates to the field of agricultural water management, in particular to a performance evaluation method for a water cooperation organization of farmers.
Background
Water conservancy is the life line of agricultural production and is the basis for developing modern agriculture. Since the country was built, the water conservancy project construction is vigorously developed in China, good infrastructure conditions are provided for agricultural irrigation, and the cost required by subsequent management and maintenance is still very high. In order to reverse the dilemma, the 'participation type' irrigation management system is introduced into 20C90s in China. However, the water use cooperation organization of farmers is developed later, so that the water use cooperation organization is still in the practical and popularization stage at home at present, and the development situation is mainly of the water use association of farmers. In recent years, the irrigation areas in China vigorously promote the construction of farmers with the water society to achieve certain effects, but a plurality of problems are exposed, so that the performance of the water cooperation organization of farmers needs to be evaluated.
The balance score card theory (BSC) is a performance assessment method which is provided by the professor of Robert Carplan and David Nuodon, is different from the traditional assessment system only paying attention to finance, and integrates the assessment method of a non-financial index system. The balance score card mainly analyzes and converts strategic objectives of an enterprise into various specific indexes layer by layer from four-dimensional assessment performance of finance, clients, internal processes, learning and growth, and evaluates the implementation conditions of the strategic objectives aiming at different periods, so that the organizational performance assessment objectives of short-term and long-term, result and process, finance and non-finance and the like which are balanced mutually are realized. At present, most of the performance evaluation researches of farmers ' water cooperation organizations focus on the evaluation of ' hard indexes ' in the aspects of work performance and internal operation, the method only focuses on the performance indexes and neglects the management cost, focuses on short-term effect and neglects long-term development, and the balance scorecard theory effectively overcomes the defects in the aspects, increases the evaluation of ' soft quality ' in the aspects of water supply service quality, participation degree of farmers, satisfaction degree of irrigation and propaganda and training strength of associations, organically combines two aspects of financial and non-financial indexes, and balances the conflict between long-term strategies and short-term targets, thereby realizing the objective, comprehensive and comprehensive evaluation of the performance of the water cooperation organizations for the consumers.
The TOPSIS model is a method for approximating ideal solution ranking proposed by C.L.Hwang and Yoon.K.s in 1981, and is widely introduced in the aspects of multi-target decision analysis, scheme selection, performance evaluation and the like at present. The basic construction process of the model is as follows: firstly, a normalized standard matrix is established according to an initial decision matrix, then the optimal solution (namely, a positive ideal solution refers to the optimal value in a group of data) and the worst solution (a negative ideal solution refers to the worst value in a group of data) in a limited scheme are found, and the advantages and disadvantages of all evaluation objects are judged by calculating the distance between each sample and the positive and negative ideal solutions. However, the performance evaluation of the rural water cooperation organization is a systematic and complex comprehensive project, is limited by research time and knowledge level, is not comprehensive in problem research, and needs to be further improved.
Disclosure of Invention
Therefore, the embodiment of the invention provides a performance evaluation method for a water cooperation organization for farmers, which aims to solve the problems of difficult water management and incomplete performance evaluation system of the water cooperation organization in the rural areas.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
the embodiment of the invention discloses a performance evaluation method for a water cooperation organization for farmers, which comprises the following steps:
step 1, constructing a performance evaluation index system, and constructing a balance score card evaluation system of a water cooperation organization of farmers from four criteria layers of work performance, customer service, internal management, learning and development;
step 2, distributing evaluation index weight, and determining the index weight by adopting a main and objective analysis method combining an analytic hierarchy process and an expert judgment method;
step 3, carrying out fuzzy comprehensive evaluation, establishing a membership function by combining a factor set and a comment set of performance evaluation of a water cooperation organization of farmers, and carrying out overall grade evaluation;
and 4, analyzing the importance of the influence factors approaching the ideal solution sorting model to obtain the most important factors and the least important factors influencing the development of the water cooperation organization of the farmers.
Further, the performance evaluation index system in step 1 is a target layer, and the target layer includes four criterion layers, which are respectively: the method comprises the following steps of working performance, customer service, internal management, learning and development, wherein an index layer is arranged below each criterion layer, and the index types comprise quantification and qualification;
the index layer arranged under the work performance criterion layer comprises: the water charge rate, the comprehensive index of the field engineering management and maintenance condition and the unit irrigation water yield;
the index layer arranged under the customer service criterion layer comprises: the participation degree of farmers, the water supply service and management level and the water price bearing capacity of the farmers;
the index layer arranged under the internal management criterion layer comprises: establishing comprehensive indexes of system foundation, water plan management and financial management;
the index layer arranged under the learning and development criterion layer comprises: organization training, organization manager, and whether the organization protects its benefits from the consumer.
Further, in the step 2, the evaluation index weight assignment method includes: constructing a step-by-step hierarchical structure model, establishing a judgment matrix, carrying out hierarchical single sequencing and consistency inspection, and carrying out hierarchical total sequencing and consistency inspection;
the construction of the step-by-step hierarchical structure model takes performance evaluation as a core target, decomposes the performance evaluation target and constructs the step-by-step hierarchical structure model based on a performance evaluation index system;
in the process of establishing the judgment matrix, the judgment matrix represents the comparison of relative importance between a certain single element at the previous level and related elements of the level;
the level list sorting and consistency inspection is used for sorting the influence degree of all factors of a certain layer on a certain factor of the previous layer;
and the overall hierarchical ordering and consistency inspection is used for ordering the importance degrees of all factors relative to the overall target from the target layer to the scheme layer at the bottom layer according to the hierarchical single ordering result.
Further, in the process of establishing the judgment matrix, all factors X of the same layer are subjected to judgment
iComparing two by two to deduce the relative importance a between each layer
ijThe comparison result is expressed by matrix, and a comparison judgment matrix A is formed and given to X
iAnd (4) adopting an expert investigation method to score the relative importance of the indexes of each criterion layer and each index layer according to the corresponding weight value.
Further, the hierarchical single ordering and consistency check calculates the maximum eigenvalue of the judgment matrix and the corresponding eigenvector, finds out a number λ and a non-zero n-dimensional vector α for the judgment matrix a, and satisfies that a α ═ λ
maxα, wherein λ
maxTo determine the maximum eigenvalue of matrix A, α is λ
maxComponent α of the corresponding feature vector, α
iThat is, the weight value of the corresponding element list sequence is used for calculating the consistency index of A in the consistency test process
CI＝(λ
max-n)/(n-1)
And n is the order number of the matrix, when CI is 0, A is completely consistent, and the larger CI is, the poorer A is.
Further, the total hierarchical ranking and consistency check is to calculate the weight of each layer element to the total target, to perform consistency check on the total hierarchical ranking, to adjust each index weight according to the calculated weight result and the understanding of the relevant index content by the relevant water and agricultural profession and water management experts, and to take the scoring average value of each expert as the final calculated weight.
Further, in the step 3, the fuzzy comprehensive evaluation method includes: constructing a factor set and a comment set for performance evaluation of the water cooperation organization of farmers, establishing a membership function and carrying out comprehensive evaluation;
the method comprises the following steps of constructing a factor set and a comment set for performance evaluation of a water cooperation organization of farmers, wherein the factor set U comprises s subsets, and is divided according to the grades of an index system to describe the attributes of an evaluated object, and the factor set is as follows: u ═ work performance, customer service, internal management, learning and development }; the comment set is a set of evaluation grade criteria for determining the grade of an evaluated object, and the comment set is as follows: v ═ excellent, good, medium, worse, poor };
in the establishment of the membership function, a half-raised trigonometric membership function which is widely applied and suitable for forward indexes is selected according to the performance evaluation characteristics of the water cooperation organization of farmers and the reference of related literature data and historical experience, and for the forward indexes, the higher the index value is, the better the state of an evaluation object is;
and performing comprehensive evaluation, namely calculating the membership of each index according to a membership function, constructing a membership matrix, multiplying the weight vector by the membership matrix to obtain each index layer vector, multiplying each index layer vector by the rule layer weight to obtain a fuzzy comprehensive evaluation vector, processing by adopting a maximum membership method, and taking the maximum value of the element values in the fuzzy comprehensive evaluation vector, wherein the grade of the maximum value is the evaluation overall grade.
Further, in the step 4, the process of analyzing the importance of the influence factors approaching the ideal solution ranking model includes: constructing a standardized matrix, determining positive and negative ideal solutions, calculating the distance from each index vector to the positive ideal solution and the negative ideal solution, and calculating the closeness of each index to the optimal scheme;
in the process of constructing the standardized matrix, m samples and n evaluation indexes are shared, and each evaluation index value is x
ij(i 1, 2, …, t, j 1, 2, … t), and performing dimensionless processing on the matrix to obtain a normalized matrix Y due to different dimensions of each index value; indexes in the evaluation system are benefit type numerical values, the larger the index is, the better the index is, the raw data is processed by adopting a normalization method, and the benefit type indexes are processed by adopting a normalization methodThe normalization process is performed with the following formula,
the positive ideal solution is Y
+The negative ideal solution is Y
-，
The distance from each index vector to the positive ideal solution is D
+The distance from each index vector to the positive ideal solution is D
-，
In the formula y
i +、y
i -Respectively representing the most preferable value and the least preferable value of the ith index in evaluation;
the closeness degree of each index to the optimal scheme is C
j，
In the formula, C
jThe larger the value is, the closer the jth index level is to the optimal level, and the closeness degree C
jHas a value of 0 to 1, when C
jWhen the index is 1, the index state is the best; when C is present
jWhen the index is 0, the index is disordered.
Further, in the step 4, the order of each index is arranged according to the closeness value of each index and the optimal scheme, the importance of factors influencing the development of the water cooperation organization of farmers is ranked based on three different angles of organization, scattered households and big households, more important indexes and less important indexes are obtained, and the development status of the water cooperation of farmers is determined by combining the fuzzy comprehensive evaluation result.
The embodiment of the invention has the following advantages:
the embodiment of the invention discloses a performance evaluation method for a water cooperation organization for farmers, which constructs a balance score card evaluation system for the water cooperation organization for farmers from four criteria layers of work performance, customer service, internal management, learning and development, overcomes the problems that most of the performance evaluation researches on the water cooperation organization for farmers focus on work performance and internal operation, focuses on short-term effect and neglects long-term development, increases the evaluation on the aspects of water supply service quality, participation degree of farmers, satisfaction degree of irrigation and propaganda and training strength of associations and the like, organically combines two aspects of financial and non-financial indexes, balances the conflict between long-term strategy and short-term targets, and realizes objective, comprehensive and comprehensive evaluation on the performance of the association operation management of the water consumers; and (3) analyzing the importance of the influence factors approaching the ideal solution sequencing model to obtain the most important factors and the least important factors influencing the development of the rural cooperative organization, and providing corresponding long-term and short-term development suggestions for the organization by combining the performance evaluation result, so that the rural water is easier to manage, a performance evaluation system of the cooperative organization is perfected, and the development of the rural water can be more scientifically guided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other implementation drawings can be derived from the drawings provided by those of ordinary skill in the art without any creative effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the scope of the present invention.
FIG. 1 is a flow chart of a performance evaluation method for a water cooperation organization for farmers according to an embodiment of the invention;
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
The embodiment discloses a performance evaluation method for a water cooperation organization for farmers, which comprises the following steps:
step 1, constructing a performance evaluation index system, and constructing a balance score card evaluation system of a water cooperation organization of farmers from four criteria layers of work performance, customer service, internal management, learning and development;
step 2, distributing evaluation index weight, and determining the index weight by adopting a main and objective analysis method combining an analytic hierarchy process and an expert judgment method;
step 3, carrying out fuzzy comprehensive evaluation, establishing a membership function by combining a factor set and a comment set of performance evaluation of a water cooperation organization of farmers, and carrying out overall grade evaluation;
and 4, analyzing the importance of the influence factors approaching the ideal solution sorting model to obtain the most important factors and the least important factors influencing the development of the water cooperation organization of the farmers.
The method overcomes the problems that most of the existing water cooperation organization performance evaluation research of farmers pays attention to the work performance and the internal operation, pays attention to the short-term effect and neglects the long-term development, increases the evaluation of the water supply service quality, the participation degree of farmers, the satisfaction degree of irrigation, the propaganda and training strength of associations and the like, organically combines the two aspects of financial and non-financial indexes, and balances the conflict between long-term strategy and long-term targets, thereby realizing the objective, comprehensive and comprehensive evaluation of the water consumer association operation management performance.
Referring to table 1, the performance evaluation index system in step 1 is a target layer, and the target layer includes four rule layers, which are: the method comprises the following steps of working performance, customer service, internal management, learning and development, wherein an index layer is arranged below each criterion layer, and the index types comprise quantification and qualification;
the index layer arranged under the work performance criterion layer comprises: the water charge rate, the comprehensive index of the field engineering management and maintenance condition and the unit irrigation water yield;
the index layer arranged under the customer service criterion layer comprises: the participation degree of farmers, the water supply service and management level and the water price bearing capacity of the farmers;
the index layer arranged under the internal management criterion layer comprises: establishing comprehensive indexes of system foundation, water plan management and financial management;
the index layer arranged under the learning and development criterion layer comprises: organization training, organization manager, and whether the organization protects its benefits from the consumer.
TABLE 1 evaluation index system for peasant water cooperation organization performance
In step 2, the evaluation index weight distribution method includes: constructing a step-by-step hierarchical structure model, establishing a judgment matrix, carrying out hierarchical single sequencing and consistency inspection, and carrying out hierarchical total sequencing and consistency inspection;
the construction of the step-by-step hierarchical structure model takes performance evaluation as a core target, decomposes the performance evaluation target and constructs the step-by-step hierarchical structure model based on a performance evaluation index system;
in the process of establishing the judgment matrix, the judgment matrix represents the comparison of relative importance between a certain single element at the previous level and related elements of the level;
the level list sorting and consistency inspection is used for sorting the influence degree of all factors of a certain layer on a certain factor of the previous layer;
and the overall hierarchical ordering and consistency inspection is used for ordering the importance degrees of all factors relative to the overall target from the target layer to the scheme layer at the bottom layer according to the hierarchical single ordering result.
In the process of establishing the judgment matrix, all factors X of the same layer are subjected to
iComparing two by two to deduce the relative importance a between each layer
ijThe comparison result is expressed by matrix, and a comparison judgment matrix A is formed and given to X
iAnd (4) scoring the relative importance of the indexes of each criterion layer and each index layer by adopting an expert survey method according to the corresponding weight value, referring to a table 2, and assigning a score by adopting a 1-9 scale method.
TABLE 2 values and meanings of the calibration method
Level single ordering and consistency test, calculating the maximum eigenvalue and corresponding eigenvector of the judgment matrix, finding out a number lambda and a non-zero n-dimensional vector α for the judgment matrix A, satisfying A α -lambda
maxα, wherein λ
maxTo determine the maximum eigenvalue of matrix A, α is λ
maxComponent α of the corresponding eigenvector α
iThat is, the weight value of the corresponding element list sequence is used for calculating the consistency index of A in the consistency test process
CI＝(λ
max-n)/(n-1)
And n is the order number of the matrix, when CI is 0, A is completely consistent, and the larger CI is, the poorer A is.
To verify that matrix a has satisfactory consistency, CI needs to be compared to the average random consistency index RI. The first and second order judgment matrixes have complete consistency, and the condition of more than second order is calculated by the random consistency ratio CR of the judgment matrixes. Namely, it is
CR＝CI/RI
The RI values are determined according to table 3. If CR <0.1, judging that the matrix has satisfactory consistency, and if not, adjusting the judgment matrix.
TABLE 3 average random consistency index RI values
Referring to table 4, the total hierarchical ranking and consistency check are performed, the weight of each layer of element on the total target is calculated, the consistency check is performed on the total hierarchical ranking, according to the calculated weight result, the weights of all indexes are respectively adjusted through the understanding of relevant indexes by relevant agricultural and water professionals and water management experts, and the scoring evaluation of each expert is used as the finally calculated weight;
assume that the higher layer A has A
1，A
2，……，A
sTotal s elements, the hierarchical sorting weight is a
1，a
2，……，a
sThe layer A is next to the layer B with t factors, which are related to the layer A
iHas a hierarchical ranking weight of b
1j，b
2j，……，b
tjTheir weight b to the overall target
iComprises the following steps:
and finally, carrying out consistency check on the total hierarchical ordering.
When CR is reached
0<At 0.1, the results are considered to have satisfactory consistency and to be reliable.
TABLE 4 Total ordering of factors to Total target
And according to the calculated weight result, adjusting the weights of all indexes respectively through understanding of relevant indexes by relevant agricultural and water professionals and water management experts, and taking the scoring average value of each expert as the finally calculated weight.
The fuzzy comprehensive evaluation method comprises the following steps: constructing a factor set and a comment set for performance evaluation of a water cooperation organization of farmers, establishing a membership function and carrying out comprehensive evaluation;
the method comprises the following steps of constructing a factor set and a comment set for performance evaluation of a water cooperation organization of farmers, wherein the factor set U comprises s subsets, and is divided according to the grades of an index system to describe the attributes of an evaluated object, and the factor set is as follows: u ═ work performance, customer service, internal management, learning and development }; the comment set is a set of evaluation level criteria for determining the level of an object to be evaluated. The comment set is: v ═ excellent, good, medium, worse, poor };
in the establishment of the membership function, a half-raised trigonometric membership function which is widely applied and suitable for forward indexes is selected according to the performance evaluation characteristics of the water cooperation organization of farmers and the reference of related literature data and historical experience, and for the forward indexes, the higher the index value is, the better the state of an evaluation object is;
the raising half trigonometric function formula comprises three stages, wherein the membership function of the stage I (when j is 1) is,
class II (when j is 2,3, … …, t-1) membership functions are
Class III (when j ═ t) membership functions are
Wherein U (x) is a membership function of each index in the factor set to the evaluation level of j, x is an actual value, d
j，d
j-1，d
j+1A graded standard value representing each index, and d
j+1<d
j<d
j-1。
The comprehensive evaluation is carried out to calculate the membership degree of each index according to the membership degree function, a membership degree matrix R is constructed, the weight vector W is multiplied by the membership degree matrix R to obtain each index layer vector B,
and multiplying each index layer vector B by the weight of the criterion layer to obtain a fuzzy comprehensive evaluation vector C, processing by adopting a maximum membership method, and taking the maximum value of the element values in the fuzzy comprehensive evaluation vector C, wherein the belonging grade is the evaluation overall grade.
The importance analysis process for the influence factors of the approximate ideal solution ordering model comprises the following steps: constructing a standardized matrix, determining positive and negative ideal solutions, calculating the distance from each index vector to the positive ideal solution and the negative ideal solution, and calculating the closeness of each index to the optimal scheme;
in the process of constructing the standardized matrix, m samples and n evaluation indexes are shared, and each evaluation index value is x
ij(i 1, 2, …, t, j 1, 2, … t), and performing dimensionless processing on the matrix to obtain a normalized matrix Y due to different dimensions of each index value; the indexes in the evaluation system are benefit type numerical values, the larger the index is, the better the index is, the normalization method is adopted to process the original data, the benefit type index is normalized by adopting the following formula,
positive ideal solution of Y
+The negative ideal solution is Y
-，
The distance from each index vector to the positive ideal solution is D
+The distance from each index vector to the positive ideal solution is D
-，
In the formula y
i +、y
i -Respectively representing the most preferable value and the least preferable value of the ith index in evaluation;
the closeness degree of each index to the optimal scheme is C
j，
In the formula, C
jThe larger the value is, the closer the jth index level is to the optimal level, and the closeness degree C
jHas a value of 0 to 1, when C
jWhen the index is 1, the index state is the best; when C is present
jWhen the index is 0, the index is disordered.
And ranking the indexes according to the closeness numerical value of each index and the optimal scheme, ranking the importance of factors influencing the development of the water cooperation organization of the farmers based on three different angles of organization, scattered households and big households to obtain more important indexes and less important indexes, and determining the development status of the water cooperation of the farmers by combining fuzzy comprehensive evaluation results.
The embodiment of the invention discloses a performance evaluation method for a water cooperation organization for farmers, which constructs a balance score card evaluation system for the water cooperation organization for farmers from four criteria layers of work performance, customer service, internal management, learning and development, overcomes the problems that most of the performance evaluation research of the water cooperation organization for farmers focuses on work performance and internal operation, focuses on short-term effect and neglects long-term development, increases the evaluation of water supply service quality, participation degree of farmers, satisfaction degree of irrigation and propaganda and training strength of associations and the like, organically combines two aspects of financial and non-financial indexes, balances the conflict between long-term strategy and short-term targets, and realizes objective, comprehensive and comprehensive evaluation of the performance of the association operation management of the water consumers; and (3) analyzing the importance of the influence factors approaching the ideal solution sequencing model to obtain the most important factors and the least important factors influencing the development of the rural cooperative organization, and providing corresponding long-term and short-term development suggestions for the organization by combining the performance evaluation result, so that the rural water is easier to manage, a performance evaluation system of the cooperative organization is perfected, and the development of the rural water can be more scientifically guided.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (9)
1. A performance evaluation method for a water cooperation organization for farmers is characterized by comprising the following steps:
step 1, constructing a performance evaluation index system, and constructing a balance score card evaluation system of a water cooperation organization of farmers from four criteria layers of work performance, customer service, internal management, learning and development;
step 2, distributing evaluation index weight, and determining the index weight by adopting a main and objective analysis method combining an analytic hierarchy process and an expert judgment method;
step 3, carrying out fuzzy comprehensive evaluation, establishing a membership function by combining a factor set and a comment set of performance evaluation of a water cooperation organization of farmers, and carrying out overall grade evaluation;
and 4, analyzing the importance of the influence factors approaching the ideal solution sorting model to obtain the most important factors and the least important factors influencing the development of the water cooperation organization of the farmers.
2. The method as claimed in claim 1, wherein the performance evaluation index system in step 1 is a target layer, and the target layer includes four criteria layers, which are: the method comprises the following steps of working performance, customer service, internal management, learning and development, wherein an index layer is arranged below each criterion layer, and the index types comprise quantification and qualification;
the index layer arranged under the work performance criterion layer comprises: the water charge rate, the comprehensive index of the field engineering management and maintenance condition and the unit irrigation water yield;
the index layer arranged under the customer service criterion layer comprises: the participation degree of farmers, the water supply service and management level and the water price bearing capacity of the farmers;
the index layer arranged under the internal management criterion layer comprises: establishing comprehensive indexes of system foundation, water plan management and financial management;
the index layer arranged under the learning and development criterion layer comprises: organization training situations, organization administrator situations, and whether the organization is deemed to protect its interests by the consumer.
3. The method for evaluating the performance of a water cooperation organization for farmers as set forth in claim 1, wherein the evaluation index weight assignment method in the step 2 comprises: constructing a step-by-step hierarchical structure model, establishing a judgment matrix, carrying out hierarchical single sequencing and consistency check, and carrying out hierarchical total sequencing and consistency check;
the construction of the step-by-step hierarchical structure model takes performance evaluation as a core target, decomposes the performance evaluation target and constructs the step-by-step hierarchical structure model based on a performance evaluation index system;
in the process of establishing the judgment matrix, the judgment matrix represents the comparison of relative importance between a certain single element at the previous level and related elements of the level;
the hierarchical list sorting and consistency inspection is used for sorting the influence degree of all factors of a certain layer on a certain factor of the previous layer;
and the overall hierarchical ordering and consistency inspection is used for ordering the importance degrees of all factors relative to the overall target from the target layer to the scheme layer at the bottom layer according to the hierarchical single ordering result.
4. The method as claimed in claim 3, wherein the determination matrix is established by applying the factor X to the same layer
iComparing two by two to deduce the relative importance a between each layer
ijThe comparison result is expressed by matrix, and a comparison judgment matrix A is formed and given to X
iAnd (4) adopting an expert investigation method to score the relative importance of the indexes of each criterion layer and each index layer according to the corresponding weight value.
5. The method as claimed in claim 3, wherein the hierarchical single ordering and consistency check is performed to calculate the maximum eigenvalue of the decision matrix and the corresponding eigenvector, and find a number λ and a non-zero n-dimensional vector α for the decision matrix A, satisfying A α ═ λ
maxα, wherein λ
maxTo determine the maximum eigenvalue of matrix A, α is λ
maxComponent α of the corresponding feature vector, α
iThat is, the weight value of the corresponding element list sequence is used for calculating the consistency index of A in the consistency test process
CI＝(λ
max-n)/(n-1)
And n is the order number of the matrix, when CI is 0, A is completely consistent, and the larger CI is, the poorer A is.
6. The method as claimed in claim 3, wherein the total hierarchical ranking and consistency check is performed by calculating the weight of each layer element to the total target, performing the consistency check on the total hierarchical ranking, adjusting the weight of each index according to the calculated weight result and the understanding of relevant index content by relevant water and agricultural professionals and water management experts, and taking the scoring average value of each expert as the final calculated weight.
7. The method for evaluating the performance of a water cooperation organization for farmers as set forth in claim 1, wherein the fuzzy comprehensive evaluation method in the step 3 comprises the following steps: constructing a factor set and a comment set for performance evaluation of a water cooperation organization of farmers, establishing a membership function and carrying out comprehensive evaluation;
the method comprises the following steps of constructing a factor set and a comment set for performance evaluation of a water cooperation organization of farmers, wherein the factor set U comprises s subsets, the subsets are divided according to the grades of an index system to describe the attributes of an evaluated object, and the factor set is as follows: u ═ work performance, customer service, internal management, learning and development }; the comment set is a set of evaluation grade criteria for determining the grade of an evaluated object, and the comment set is as follows: v ═ excellent, good, medium, poor };
in the establishment of the membership function, a half-raised trigonometric membership function which is widely applied and suitable for forward indexes is selected according to the performance evaluation characteristics of the water cooperation organization for farmers and the reference of related literature data and historical experience, and for the forward indexes, when the index value is larger, the better the state of an evaluation object is;
and performing comprehensive evaluation, namely calculating the membership of each index according to a membership function, constructing a membership matrix, multiplying the weight vector by the membership matrix to obtain each index layer vector, multiplying each index layer vector by the standard layer weight to obtain a fuzzy comprehensive evaluation vector, processing by adopting a maximum membership method, and taking the maximum value of the element values in the fuzzy comprehensive evaluation vector, wherein the grade of the element value is the evaluation overall grade.
8. The method as claimed in claim 1, wherein the step 4 of analyzing the importance of the influencing factors approaching the ideal solution ranking model comprises: constructing a standardized matrix, determining positive and negative ideal solutions, calculating the distance from each index vector to the positive ideal solution and the negative ideal solution, and calculating the closeness of each index to the optimal scheme;
in the process of constructing the standardized matrix, the standardized matrix is constructed,the total number of the samples is m, n evaluation indexes are provided, and each evaluation index value is x
ij(i 1, 2, …, t, j 1, 2, … t), and performing dimensionless processing on the matrix to obtain a standardized matrix Y due to different dimensions of each index value; the indexes in the evaluation system are benefit type numerical values, the larger the index is, the better the index is, the normalization method is adopted to process the original data, the following formula is adopted to perform normalization processing on the benefit type index,
positive ideal solution of Y
+The negative ideal solution is Y
-，
The distance from each index vector to the positive ideal solution is D
+The distance from each index vector to the positive ideal solution is D
-，
In the formula y
i +、y
i -Respectively representing the most preferable value and the least preferable value of the ith index in evaluation;
the closeness degree of each index to the optimal scheme is C
j，
In the formula, C
jThe more valueLarge, indicating that the closer the jth index level is to the optimal level, the closeness C
jHas a value of 0 to 1, when C
jWhen the index is 1, the index state is the best; when C is present
jWhen the index is 0, the index is disordered.
9. The method as claimed in claim 8, wherein in the step 4, the order of each index is ranked according to the closeness value of each index to the optimal solution, the importance ranking is performed on the factors influencing the development of the water cooperation organization of the farmers based on three different angles of organization, scattered households and big households to obtain more important indexes and less important indexes, and the development status of the water cooperation of the farmers is determined by combining the fuzzy comprehensive evaluation result.
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| CN111882198A (en) * | 2020-07-22 | 2020-11-03 | 北京市水科学技术研究院 | Project performance evaluation method and system |
| CN112862283A (en) * | 2021-01-27 | 2021-05-28 | 城云科技（中国）有限公司 | Hierarchical analysis-based urban management dispatching method and system |
| CN113361895A (en) * | 2021-05-31 | 2021-09-07 | 珠海大横琴科技发展有限公司 | Performance information display method and device, electronic equipment and storage medium |
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| CN111882198A (en) * | 2020-07-22 | 2020-11-03 | 北京市水科学技术研究院 | Project performance evaluation method and system |
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| CN113361895A (en) * | 2021-05-31 | 2021-09-07 | 珠海大横琴科技发展有限公司 | Performance information display method and device, electronic equipment and storage medium |
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