CN108520351A - Rural Land Circulation pattern Performance Evaluation Methods, system, equipment, storage medium - Google Patents
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Abstract
The invention discloses a kind of Rural Land Circulation pattern Performance Evaluation Methods, system, equipment, storage mediums, belong to land transformation assessment technique field, including:Determine appraisement system;Data acquire;Subjective weight is determined by analytic hierarchy process (AHP);Objective weight is determined by entropy assessment;The distribution weight of subjective weight and objective weight is determined according to the Euclidean distance of subjective weight and objective weight;According to subjective weight, objective weight and distribution weight, corresponding comprehensive weight is obtained;Comprehensive weight is normalized;Indicator layer comprehensive weight rule layer comprehensive weight after normalized substituted into after normalized is normalized again, obtains improved indicator layer comprehensive weight;According to improved indicator layer comprehensive weight, obtains Rural Land Circulation pattern performance appraisal result and export.The exemplary technical solution of the present invention, evaluation result is more objective and comprehensive, closing to reality situation, and reference value is high.
Description
Technical field
The invention belongs to land transformation assessment technique field, specifically a kind of Rural Land Circulation pattern performance appraisal
Method, system, equipment, storage medium.
Background technology
Soil is the means of production most basic in agricultural production, be human survival and socio-economic development material base and
Precondition.
Currently, under market economic system, the further development of agricultural and rural economy is realized, it is necessary to which rural area produces
The Rational flow of element improves the allocative efficiency of land resource, and soil is made to be distributed rationally with other production factors, and agriculture
Village's land transformation is the important channel for realizing optimization of land resource configuration.
Promote to balance urban and rural development the realization of target to choose suitable Rural Land Circulation pattern, needs to carry out rural area
Land transformation pattern performance evaluation, traditional Rural Land Circulation pattern performance appraisal, generally passes through market survey combination data
Analysis carries out, but traditional evaluation method can not comprehensively with respect to the influence of various aspects factor, evaluation result and actual conditions
Difference is larger, little for the directive significance of Rural Land Circulation work.
Invention content
In order to solve above-mentioned deficiency in the prior art, the purpose of the present invention is to provide a kind of Rural Land Circulation patterns
Performance Evaluation Methods, system, equipment, storage medium make evaluation result more closing to reality situation.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme that:
On the one hand, the present invention provides a kind of Rural Land Circulation pattern Performance Evaluation Methods, including:
Determine that appraisement system, the appraisement system include destination layer, rule layer and indicator layer;
Data acquire;
Each indicator layer under the subjective weight of each rule layer and quasi- side layer is determined under destination layer by analytic hierarchy process (AHP)
Subjective weight;
The objective weight of indicator layer and rule layer is determined by entropy assessment;
The distribution weight of subjective weight and objective weight is determined according to the Euclidean distance of subjective weight and objective weight;
According to the subjective weight of rule layer and indicator layer, objective weight and distribution weight, its corresponding synthetic weights is obtained
Weight;
The comprehensive weight is normalized;
By after normalized rule layer comprehensive weight substitute into normalized after indicator layer comprehensive weight again into
Row normalized obtains improved indicator layer comprehensive weight;
According to improved indicator layer comprehensive weight, obtains Rural Land Circulation pattern performance appraisal result and export.
Further, the data acquisition, is carried out by scoring or investigation method.
Further, described that the subjective weight of each rule layer and quasi- side under destination layer are determined by analytic hierarchy process (AHP)
The subjective weight of each indicator layer under layer, including:
Determine the important sexual intercourse between each index in appraisement system;
According to the important sexual intercourse Judgement Matricies between each index;
Solve the maximum eigenvalue and feature vector of the judgment matrix;
The consistency of judgment matrix is calculated, if judgment matrix not by consistency check, is modified it up to it
Pass through consistency check;
Based on the judgment matrix by consistency check, obtains the subjective weight of rule layer and indicator layer and export.
Further, the objective weight that indicator layer and rule layer are determined by entropy assessment, including:
Raw data matrix is established according to the evaluation index in land transformation pattern to be evaluated and appraisement system;
Raw data matrix is standardized, normalized matrix and standardization formula are obtained;
The proportion of land transformation mode evaluation value under corresponding evaluation index is obtained according to standardization formula;
The entropy of corresponding evaluation index is obtained according to the proportion;
Power formula is assigned according to the entropy and common factor structure;
The entropy of corresponding index is obtained according to power formula is assigned;
Objective weight and the output of the entropy composing indexes layer and rule layer of each index.
Further, described that subjective weight and objective weight are determined according to the Euclidean distance of subjective weight and objective weight
Weight is distributed, including:
The Euclidean distance of subjective weight and objective weight is set as d (A, B), the distribution weight of subjective weight is α, objective power
The distribution weight of weight is β, when α and β meets:
Then:α is the distribution weight of required subjective weight, and β is the distribution weight of required objective weight.
Further, the destination layer includes the result to Rural Land Circulation performance appraisal;
The rule layer includes Economy Growth Performance, social development performance and ecological environment performance;
The indicator layer includes several indexs in every layer of rule layer.
Further, the standardization formula includes that the standardization formula of the smaller the better index of numerical value and numerical value are the bigger the better
The standardization formula of index, wherein:
Rural area Gini coefficient, rural area Engel coefficient, peasant's efficient employment time, unit rural holding applying quantity of chemical fertilizer,
Unit rural holding Pesticide use amount is the smaller the better variable of numerical value, and the smaller the better finger of numerical value is used in standardisation process
Target standardizes formula;
Remaining variable is the variable that numerical value is the bigger the better, the mark for the index that is the bigger the better using numerical value in standardisation process
Standardization formula.
On the other hand, the present invention also provides a kind of Rural Land Circulation pattern Performance Evaluation Systems, including:
Appraisement system determination unit is configured to determine appraisement system;
Data acquisition unit is configured to data acquisition;
Subjective weight unit is configured to determine the subjective weight of rule layer and indicator layer;
Objective weight unit is configured to determine the objective weight of indicator layer and rule layer;
Weight unit is distributed, is configured to determine the distribution weight of subjective weight and objective weight;
Comprehensive weight unit is configured to according to the subjective weight of rule layer and indicator layer, objective weight and distribution power
Weight, obtains its corresponding comprehensive weight;
Normalization unit is configured to be normalized;
Arithmetic element is configured to, according to improved indicator layer comprehensive weight, obtain Rural Land Circulation pattern performance
Evaluation result;
Output unit is configured to output Rural Land Circulation pattern performance appraisal result.
On the other hand, the present invention also provides a kind of equipment, the equipment includes:
One or more processors;
Memory, for storing one or more programs,
When one or more of programs are executed by one or more of processors so that one or more of places
It manages device and executes the exemplary any Rural Land Circulation pattern Performance Evaluation Methods of the present invention.
On the other hand, the present invention also provides a kind of computer readable storage medium being stored with computer program, the journeys
The present invention exemplary any Rural Land Circulation pattern Performance Evaluation Methods are realized when sequence is executed by processor.
Compared with prior art, beneficial effects of the present invention are:
1, the exemplary Rural Land Circulation pattern Performance Evaluation Methods of the present invention, according to the Europe of subjective weight and objective weight
Family name's distance reallocates to the weight of subjective weight and objective weight, that is, the distribution weight of the two is determined, compared with conventional process
The weight distribution problem of subjective weight and objective weight is avoided the way of falling by method, and evaluation result is inevitable more close to reality
Border evaluation result.
2, the exemplary Rural Land Circulation pattern Performance Evaluation Methods of the present invention, obtain subjective weight, objective weight and
The comprehensive weight of weight is distributed, and is normalized, rural area soil is finally obtained according to improved indicator layer comprehensive weight
Ground land transaction model performance appraisal is as a result, improve the accuracy of evaluation result.
3, the subjective weight of indicator layer is only utilized in traditional evaluation method and objective weight is calculated, and standard is not used
Then the weight of layer is calculated, and does not also just account for influence of the weight of rule layer for indicator layer weight, it is possible to cause
The weight obtained differs larger with actual conditions, and the exemplary evaluation method of the present invention has used indicator layer and rule layer simultaneously
Weight avoids the above problem so that the weight obtained is consistent with actual conditions.
4, the exemplary Rural Land Circulation pattern Performance Evaluation Methods of the present invention, when determining objective weight using entropy assessment,
Increase a common factor, ensure when entropy tends to 1, the limit for calculating the molecule of entropy assessment weight is not 0, to effectively
Avoid the extreme case that the fine difference of entropy causes entropy weight to change greatly.
5, the exemplary Rural Land Circulation pattern Performance Evaluation Methods of the present invention, appraisement system cover destination layer, rule layer
And indicator layer, very comprehensively, initial data is standardized, and is ensured the suitability of data and each processing model, is promoted
As a result accuracy.
Description of the drawings
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is the flow diagram of one embodiment of the invention.
Specific implementation mode
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that being
Convenient for description, is illustrated only in attached drawing and invent relevant part.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
As shown in Figure 1, An embodiment provides a kind of Rural Land Circulation pattern Performance Evaluation Methods, packet
Include following steps:
S1:Determine that appraisement system, the appraisement system include destination layer, rule layer and indicator layer;
S2:Data acquire;
S3:Each finger under the subjective weight of each rule layer and quasi- side layer is determined under destination layer by analytic hierarchy process (AHP)
Mark the subjective weight of layer;
S4:The objective weight of indicator layer and rule layer is determined by entropy assessment;
S5:The distribution weight of subjective weight and objective weight is determined according to the Euclidean distance of subjective weight and objective weight;
S6:According to the subjective weight of rule layer and indicator layer, objective weight and distribution weight, it is corresponding comprehensive to obtain it
Weight;
S7:The comprehensive weight is normalized;
S8:Rule layer comprehensive weight after normalized is substituted into the indicator layer comprehensive weight after normalized again
It is normalized, obtains improved indicator layer comprehensive weight;
S9:According to improved indicator layer comprehensive weight, obtains Rural Land Circulation pattern performance appraisal result and export.
It should be noted that in the present embodiment and Figure of description, although the serial number of step carries execution sequence, this
It is not offered as or implies that the exemplary method of the present invention must be executed according to the sequence, on the contrary, certain steps can not be according to
Above-mentioned numerical order executes, such as:Above-mentioned steps S1 and S2 may be performed simultaneously, and S4 can be executed before S3.
Specifically, in S1, according to the target of Rural Land Circulation pattern performance appraisal, appraisement system is by destination layer, criterion
Three layers of composition of layer and indicator layer.It is exactly the result to Rural Land Circulation performance appraisal wherein there are one destination layers.Criterion
Layer is divided into three parts, respectively Economy Growth Performance, social development performance and ecological environment performance, below each criterion
Several indexs are divided into indicator layer.Specific targets system construction, as shown in table 1:
The index system and data of 1 Rural Land Circulation pattern performance appraisal of table
In S2, the data acquisition is carried out by scoring or investigation method.
The data of analytic hierarchy process (AHP) are obtained by scoring, specially expert graded, therefore analytic hierarchy process (AHP) obtains
To indicator layer and the weight of rule layer be called and do subjective weight.Analytic hierarchy process (AHP) data adoption process is commented performance first
Valence person carries out professional training, and the purpose is to by training, estimator be made to understand the currently a popular several differences of Rural Land Circulation
Pattern grasps the associative skills of performance appraisal, is familiar with the links of performance appraisal.The training contents of first-level appraiser are main
Including:The standard content of performance appraisal, the calculating of intangibles measurement system and marking mode, performance appraisal method and examination are real
The problem of should paying attention to during applying.Pass through training, it is desirable that the examination that first-level appraiser can accurately grasp performance appraisal is done
Method holds the standard of examination, overcomes the problems, such as common in evaluation procedure, can also can finally share the warp in evaluation procedure
It tests.
With analytic hierarchy process (AHP) in land transformation model performance appraisal system scoring process, including mainly following side
Face.First, it is desirable that first-level appraiser has sufficient understanding to the Rural Land Circulation mode business examined;Secondly, it is desirable that achievement
Effect estimator skillfully grasps the basic principle and Utility routine of evaluation;Third, it is desirable that first-level appraiser must be in evaluation procedure
With the related personnel of Rural Land Circulation pattern effectively link up and exchange.
Entropy assessment is by standardizing market investigating datas, and then the canonical matrix of formation evaluation data.Based on standardization
The corresponding numerical value of evaluation index in matrix calculates the entropy of Rural Land Circulation model Performance Index, finally uses
Entropy solves the weighted value of index.Because entropy assessment is to solve weighted value, entropy assessment by analyzing market investigating datas
The weighted value found out, which is called, does objective weight.
The data that entropy assessment uses both had included social investigation data or had included market investigating datas, therefore our department divided data
Gatherer process needs to pay attention to the problem of following aspect.It is to be directed to Rural Land Circulation pattern achievement first for social investigation
The target of effect evaluation determines investigation task, specifically includes the index and the hypothesis of option and early period of selection investigation.Its
It is secondary, it is the target according to performance appraisal, designs the questionnaire and survey plan for meeting Rural Land Circulation actual conditions,
Including the design of investigation index.Again, be whole society research scheme design and to investigation research approach can
The demonstration of row Journal of Sex Research and investigator's the work such as selects, trains, organizing.Finally, it is the investigation phase of social investigation,
Include mainly gather material and arrangement and the examination in later stage, return visit and confirmation work.
For market survey, it is necessary first to a set of strict survey plan is established, so that it is guaranteed that gathered data is true
Reality.Secondly, it is thus necessary to determine that be that commission specialized company voluntarily investigates on behalf of investigation or tissue seminar.Finally, it is based on rural area
The evaluation goal and target of land transformation pattern performance appraisal, adhere to the objective criteria of market survey, according to the requirement of investigation,
Suitable respondent is selected, perfect survey plan is formulated, carries out the sample extraction work of sample investigation.
Analytic hierarchy process (AHP) is mainly the AHP Model by determining, and the marking data that expert is compared two-by-two are defeated
Enter, arrange and generate judgment matrix, is a kind of subjective weights method obtaining index system weight by expert estimation.It has
Body step is:
(1) relationship between index is determined.
Judged two-by-two for each index in index system, determines the relationship between each index, index i and index j
Relationship tijIt is indicated.Wherein tijValue provided by table 2.
The factor index decision table of 2 analytic hierarchy process (AHP) of table
(2) Judgement Matricies.
All tijUltimately constructed to go out out the original judgment matrix T of analytic hierarchy process (AHP), wherein matrix T is to element tijWant
Seeking Truth:
tij> 0, tij=1/tji,tii=1. (1)
If matrix T all elements are satisfied by (1) formula, matrix T is referred to as consistency matrix.
(3) maximum eigenvalue and feature vector of solution matrix T.
The product of each row elements of calculating matrix T first, is then normalized after evolution, finally utilizes linear algebra
The corresponding maximum eigenvalue of knowledge solution matrix T and its corresponding feature vector.Wherein the corresponding feature of maximum eigenvalue to
Amount is the weight of index system.
(4) consistency of judgment matrix T.
The judgment matrix T of analytic hierarchy process (AHP) based on foundation needs to calculate its consistency.If it is determined that matrix has passed through one
Cause property can carry out achievement then just illustrating that the weight of each index system has stronger confidence level with the weight of service index system
Effect evaluation.Specifically checking procedure is:
First, coincident indicator CI is calculated:
Wherein, λmaxFor the maximum eigenvalue of judgment matrix, n is the exponent number of judgment matrix.
Secondly, evaluation random index RI lists are consulted, consistency ration CR is calculated:
Wherein evaluation random index RI is as shown in table 3:
Table 3 evaluates random index RI lists
Finally, the consistency of judgment matrix T.If CR < 0.1, then it is assumed that judgment matrix T has passed through consistency check;It is no
Then, it needs again to be modified the judgment matrix, test again to it, until by consistency check.
(5) weight of index system is determined.Based on the judgment matrix T by consistency check, formula is utilized
TA=λmaxA, (4)
Finally obtaining the subjective weight vectors based on analytic hierarchy process (AHP) is,
A={ a1,a2,…,an}T。 (5)
The objective weight of indicator layer and rule layer is determined by entropy assessment, including:
(1) existing r land transformation patterns to be evaluated, n evaluation index form raw data matrix S=(sij)n×r,
Wherein, sijFor the evaluation of estimate of the lower i-th kind of land transformation pattern of j-th of index.I.e.
(2) to eliminate the different influence of unit, the dimension of each index, to original matrix S=(sij)n×rIt is standardized place
Reason, obtains normalized matrix S=(sij)n×r。
Wherein the be the bigger the better standardization formula of index of numerical value is:
The standardization formula of the smaller the better index of numerical value is:
(4) the proportion p of jth kind land transformation mode evaluation value under i-th of index is calculatedij,
(5) the entropy e of i-th of index is calculatedi,
Wherein, k=1/lnn. (10)
(6) the entropy weight b of i-th of index is calculatedi,
(7) improved entropy assessment assigns power method
Work as e in above-mentioned formulaiWhen → 1, there are one more apparent defects.Work as eiWhen → 1,1-ei→ 0, and this time-division
It is femaleIt is changeless.E at this timeiFine difference may result in biIt can change greatly.In order to solve this
Problem, the present embodiment proposition are improved traditional entropy assessment.Basic thought is, by increasing a common factor, to ensure
Work as eiWhen → 1, the limit for calculating the molecule of entropy assessment weight is not 0, to be effectively prevented from the generation of above-mentioned extreme case.
Improved entropy assessment assigns power formula:
Then, objective weight result determined by entropy assessment is B={ b1,b2,…,bn}T。
The distribution weight of subjective weight and objective weight, packet are determined according to the Euclidean distance of subjective weight and objective weight
It includes:
The Euclidean distance of subjective weight and objective weight is set as d (A, B), the distribution weight of subjective weight is α, objective power
The distribution weight of weight is β, when α and β meets:
Then:α is the distribution weight of required subjective weight, and β is the distribution weight of required objective weight.
The weight of the rule layer and indicator layer that are obtained based on analytic hierarchy process (AHP) is calculated by expert estimation data
, belong to subjective weight.The weight of the rule layer and indicator layer that are obtained based on entropy assessment is to pass through rural land transfer
What survey data was calculated, belong to objective weight.Currently a popular processing method is to correspond to subjective weight and objective weight
It is multiplied, the rule layer for having both subjective and objective feature and indicator layer weighted value is then obtained by method for normalizing.
Either to the rule layer or indicator layer of Rural Land Circulation performance appraisal, subjective weight corresponding to them and
Objective weight is not completely the same.Traditional treatment method has avoided subjective weight and the weight distribution of objective weight is asked
Topic, in fact, if it is possible to which the weight of subjective weight and objective weight to rule layer and indicator layer is reallocated, knot
Fruit necessarily more closing to reality evaluation result.
The present embodiment proposes a kind of allocation plan based on subjective weight Yu objective weight Euclidean distance.Subjective weight with
Difference degree between objective weight is indicated with Euclidean distance between the two, the distribution of subjective weight and objective weight
Difference degree between weight is indicated with difference between the two.If between subjective weight and objective weight distribution weight
Difference degree be equal to the difference degree between subjective weight and objective weight, it is judged that subjective weight and objective weight
Weight distribution scheme be feasible.
The weight calculation of rule layer and indicator layer based on analytic hierarchy process (AHP) and entropy assessment is specific as follows:
Assuming that the rule layer in performance appraisal shares s index, indicator layer shares t index, and each rule layer wraps respectively
Containing t1, t2, tsA indicator layer, and meet
t1+t2+…+ts=t. (14)
The rule layer and indicator layer weighted value obtained based on analytic hierarchy process (AHP) is denoted as A and Φ respectively, and is expressed as:
A={ a1,a2,…,as, (15)
The indicator layer weighted value obtained based on entropy assessment is denoted as Γ respectively, and is expressed as:
Γ={ γ1,γ2,…,γt}。 (17)
According to (1) formula, (5) are expressed as again:
By (5) formula, the rule layer weight based on entropy assessment can be obtained and be followed successively by
Therefore, the rule layer weighted value obtained based on entropy assessment is denoted as B respectively, and is expressed as:
B={ b1,b2,…,bs}。 (20)
Wherein, A is to analyze the index weights that destination layer-rule layer obtains by analytic hierarchy process (AHP), and B is by corresponding in Γ
The sum of indicator layer weight obtain.
The distribution weight of the subjective weight and objective weight that determine rule layer and indicator layer is specific as follows:
Assuming that the subjective weight distribution weight of rule layer is α in Rural Land Circulation pattern Performance Evaluation System1, objective power
Reassignment weight is β1, subjective weight is d with objective weight Euclidean distance1(A, B), then,
Solution is about α1And β1Equation group:
So, α1And β1Rule layer subjectivity weight and objective weight as in Rural Land Circulation pattern Performance Evaluation System
Distribution weight.
Similarly, it is assumed that the subjective weight distribution weight of indicator layer is α in Rural Land Circulation pattern Performance Evaluation System2,
It is β that objective weight, which distributes weight,2, subjective weight is d with objective weight Euclidean distance2(Φ, Γ), then,
Solution is about α2And β2Equation group:
So, α2And β2Indicator layer subjectivity weight and objective weight as in Rural Land Circulation pattern Performance Evaluation System
Distribution weight.
Mathematical model structure based on the Rural Land Circulation pattern performance appraisal for improving combination weights method is specific as follows:
Based on the distribution weight of rule layer subjectivity weight and objective weight in Rural Land Circulation pattern Performance Evaluation System,
The rule layer weight A obtained using step analysis and the rule layer weight B progress COMPREHENSIVE CALCULATINGs obtained using entropy assessment, are acquired
The comprehensive weight of rule layer is denoted as U, and is expressed as:
U={ μ1,μ2,…,μs} (25)
Wherein,
Similarly, the distribution based on indicator layer subjectivity weight and objective weight in Rural Land Circulation pattern Performance Evaluation System
Weight, the indicator layer weight Φ obtained using step analysis and the indicator layer weight Γ obtained using entropy assessment carry out comprehensive meter
It calculates, acquires the comprehensive weight of indicator layer, be denoted as V, and be expressed as:
V={ ν1,ν2,…,νt, (27)
Wherein,
Based on improved indicator layer comprehensive weight V, indicator layer expansion is expressed as:
Then the comprehensive weight of V is normalized, obtains Θ ", and be expressed as
Wherein,
The comprehensive weight U of improved criterion is multiplied by revised indicator layer comprehensive weight Θ ", obtains weight Θ ', and
It is expressed as
Wherein,
θ′ij=μiθ″ij;I=1,2, s;J=1,2, k;k∈{t1,t2,…,ts}。 (33)
Again Θ ' is expressed as:
Θ '={ θ '1,θ′2,…,θ′t}。 (34)
Θ ' is normalized again, obtains improved indicator layer comprehensive weight Θ, and be expressed as
Θ={ θ1,θ2,…,θt} (35)
Wherein,
For ease of the understanding of the present invention, with reference to an Application Example, the invention will be further described:
1. the arrangement of Rural Land Circulation pattern performance appraisal statistical data:
According to the basic condition that current rural holding is flowed, there are five types of land transformation patterns to carry out altogether for selection of the embodiment of the present invention
Analysis is respectively subcontracted, is hired out, counter renting ladle-to-ladle, joint stock partnership and land trust.
Marking, shape are compared two-by-two to the Performance Index of Rural Land Circulation pattern by expert graded
At expert estimation table, to form the subjective marking table of expert.
In objective data market survey method, the characteristics of according to different Rural Land Circulation patterns, by visiting circulation
Peasant and contracting enterprise and individual, investigate in conjunction with market statistics, to form objective survey data.
The index system and data of 4 Rural Land Circulation pattern performance appraisal of table
2. the standard of Rural Land Circulation pattern performance appraisal statistical data is handled:
By the processing of nondimensionalization, the type of data, size etc. can be effectively prevented under different indexs to most terminating
The influence of fruit.In order to preferably analyze the size of Rural Land Circulation model performance, need to be standardized place to initial data
Reason.In standardisation process, rural area Gini coefficient, rural area Engel coefficient, peasant's efficient employment time, unit rural holding
It is better variable that it is smaller, which to be numerical value, for fertilizer application amount, unit rural holding Pesticide use amount, therefore in standardisation process
It needs to use and the smaller the better criterion formula of numerical value is calculated.Remaining variable is the change being the bigger the better
Amount, therefore need to use in standardisation process and the criterion formula that numerical value is the bigger the better is calculated.Final mark
Standardization handling result is:
Data after 5 Rural Land Circulation pattern performance evaluation criterion of table
3. calculating the subjective and objective weight of Rural Land Circulation pattern performance appraisal using analytic hierarchy process (AHP) and entropy assessment:
Based on the present embodiment analytic hierarchy process (AHP), entropy assessment and entropy assessment thought is improved, to Rural Land Circulation mode index
The rule layer and indicator layer of system carry out subjective weights and Objective Weight, and the results are shown in Table 6:
The tax power power of 6 analytic hierarchy process (AHP) of table, entropy assessment and improvement entropy assessment in Rural Land Circulation pattern performance appraisal
Weight
From the point of view of result of calculation, the rule layer weight of entropy assessment and improved entropy assessment is equal, this is because improving
Entropy assessment only the weight calculation of indicator layer improved, be not aligned with, the weight calculation of layer is improved,
The rule layer weight of all improved entropy assessments and traditional entropy assessment is the same.Other statistics indicate that, analytic hierarchy process (AHP) and entropy
Power method difference in terms of rule layer tax power is larger, and the main reason for such case occurs in analysis, it may be possible to because of analytic hierarchy process (AHP)
It is by the calculated weight of expert estimation;Entropy assessment is by analyzing the calculated weight of market investigating datas.Reality
May be, most general public with may in terms of economic growth, social development and ecological environment cognition and expert
There is a certain distance between the planning of idealization.
Although the having a certain difference property of Objective Weight that the subjective weights that analytic hierarchy process (AHP) obtains are obtained with entropy assessment,
It is that people do not change to the weight tax power size order of economic growth, social development and ecological environment.This also illustrates
During carrying out Rural Land Circulation pattern performance appraisal at present, first or the warp of Rural Land Circulation pattern is seen
Help Efficiency of Growth, followed by social development performance, is finally ecological environment performance.
3. traditional comprehensive weight enabling legislation and improved combination weights method are in Rural Land Circulation pattern performance appraisal
Tax weigh weight:
Based on traditional comprehensive weight enabling legislation of the invention and improved combination weights method and thought, to Rural Land Circulation mould
The indicator layer of formula index system carries out the combination weights of subjective and objective combination, and the results are shown in Table 7:
The traditional comprehensive weight enabling legislation of table 7 and improved combination weights method are united in Rural Land Circulation pattern performance critical biography
Weight is weighed in tax in comprehensive weight enabling legislation valence
Traditional combination weights method and improved combination weights method indicator layer assign power result and show that per capita net income for farmers becomes
It is to influence rural holding stream that rate, peasant's agricultural incomes, which account for total income proportion change rate and the horizontal change rate of agriculture industrialization,
Most important three influence factors of rotary-die type performance appraisal.
4. performance appraisal result of the Rural Land Circulation pattern under various methods:
Analytic hierarchy process (AHP), traditional entropy assessment, improvement entropy assessment, the traditional weight normalizing proposed based on the embodiment of the present invention
Method, five kinds of improved combination weights method tax power methods to subcontracting, hiring out, counter rent five kinds of ladle-to-ladle, joint stock partnership, land trust etc.
The performance of Rural Land Circulation pattern is evaluated.Final evaluation result is as shown in table 8:
Performance appraisal result of the 8 Rural Land Circulation pattern of table under various methods
5. ranking of the Rural Land Circulation pattern performance appraisal result under various methods:
Based on subcontract, hire out, counter five kinds of Rural Land Circulation patterns such as ladle-to-ladle, joint stock partnership, land trust of renting are in level
Analytic approach, traditional entropy assessment, the achievement for improving entropy assessment, five kinds of traditional weight normalization method, improved combination weights method tax power methods
Imitate evaluation result, article to subcontracting, hiring out, counter rent ladle-to-ladle, joint stock partnership, land trust five kinds of Rural Land Circulation patterns
Performance appraisal result has carried out ranking.Ranking result is as follows:
Ranking of the 9 Rural Land Circulation pattern performance appraisal result of table under various methods
The performance appraisal ranking of the different Rural Land Circulation patterns of five kinds of comparison, finds two kinds of joint stock partnership and land trust
The higher pattern of Market Orientation is in the top, subcontracts and hire out both traditional Rural Land Circulation pattern marketization journeys
Spend relatively low, ranking is also all to compare rearward.Counter to rent ladle-to-ladle pattern and belong to half market-oriented state, practical ranking is also just between row
The centre position of name.Further investigated finds that expert graded, improved entropy assessment and improved combination weights method all judge stock
The ranking of part cooperation is more preferable, and actual conditions are that land trust difficulty is larger, and to consider Rural Land Circulation each for joint stock partnership
The Interest demands of aspect, in contrast Market Orientation higher, result of calculation also reflect the practical feelings of existing market well
Condition.
On the other hand, the present embodiment additionally provides a kind of Rural Land Circulation pattern Performance Evaluation System, including:
Appraisement system determination unit is configured to determine appraisement system;
Data acquisition unit is configured to data acquisition;
Subjective weight unit is configured to determine the subjective weight of rule layer and indicator layer;
Objective weight unit is configured to determine the objective weight of indicator layer and rule layer;
Weight unit is distributed, is configured to determine the distribution weight of subjective weight and objective weight;
Comprehensive weight unit is configured to according to the subjective weight of rule layer and indicator layer, objective weight and distribution power
Weight, obtains its corresponding comprehensive weight;
Normalization unit is configured to be normalized;
Arithmetic element is configured to, according to improved indicator layer comprehensive weight, obtain Rural Land Circulation pattern performance
Evaluation result;
Output unit is configured to output Rural Land Circulation pattern performance appraisal result.
On the other hand, the present embodiment additionally provides a kind of equipment, and the equipment includes:
One or more processors;
Memory, for storing one or more programs,
When one or more of programs are executed by one or more of processors so that one or more of places
Reason device executes the Rural Land Circulation pattern Performance Evaluation Methods described in the present embodiment.
Being described in unit or module involved in the embodiment of the present application can be realized by way of software, can also
It is realized by way of hardware.Described unit or module can also be arranged in the processor.These units or module
Title does not constitute the restriction to the unit or module itself under certain conditions.
On the other hand, the present embodiment additionally provides a kind of computer readable storage medium being stored with computer program, should
The Rural Land Circulation pattern Performance Evaluation Methods described in the present embodiment are realized when program is executed by processor.The computer can
It can be computer readable storage medium included in system or equipment described in above-described embodiment to read storage medium;Also may be used
To be individualism, without the computer readable storage medium in supplying equipment, such as hard disk, CD, SD card.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art
Member should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from the inventive concept, it is carried out by above-mentioned technical characteristic or its equivalent feature
Other technical solutions of arbitrary combination and formation.Such as features described above and (but not limited to) disclosed herein have it is similar
The technical characteristic of function is replaced mutually and the technical solution that is formed.
In addition to the technical characteristic described in specification, remaining technical characteristic is the known technology of those skilled in the art, is prominent
Go out the innovative characteristics of the present invention, details are not described herein for remaining technical characteristic.
Claims (10)
1. a kind of Rural Land Circulation pattern Performance Evaluation Methods, characterized in that including:
Determine that appraisement system, the appraisement system include destination layer, rule layer and indicator layer;
Data acquire;
The master of each indicator layer under the subjective weight of each rule layer under destination layer and quasi- side layer is determined by analytic hierarchy process (AHP)
See weight;
The objective weight of indicator layer and rule layer is determined by entropy assessment;
The distribution weight of subjective weight and objective weight is determined according to the Euclidean distance of subjective weight and objective weight;
According to the subjective weight of rule layer and indicator layer, objective weight and distribution weight, its corresponding comprehensive weight is obtained;
The comprehensive weight is normalized;
Indicator layer comprehensive weight rule layer comprehensive weight after normalized substituted into after normalized is returned again
One change is handled, and obtains improved indicator layer comprehensive weight;
According to improved indicator layer comprehensive weight, obtains Rural Land Circulation pattern performance appraisal result and export.
2. Rural Land Circulation pattern Performance Evaluation Methods according to claim 1, characterized in that the data acquisition,
It is carried out by scoring or investigation method.
3. Rural Land Circulation pattern Performance Evaluation Methods according to claim 1, characterized in that described to pass through level point
Analysis method determines the subjective weight of each indicator layer under the subjective weight of each rule layer under destination layer and quasi- side layer, including:
Determine the important sexual intercourse between each index in appraisement system;
According to the important sexual intercourse Judgement Matricies between each index;
Solve the maximum eigenvalue and feature vector of the judgment matrix;
The consistency of judgment matrix is calculated, if judgment matrix not by consistency check, is modified to it until it passes through
Consistency check;
Based on the judgment matrix by consistency check, obtains the subjective weight of rule layer and indicator layer and export.
4. Rural Land Circulation pattern Performance Evaluation Methods according to claim 3, characterized in that described to pass through entropy assessment
Determine the objective weight of indicator layer and rule layer, including:
Raw data matrix is established according to the evaluation index in land transformation pattern to be evaluated and appraisement system;
Raw data matrix is standardized, normalized matrix and standardization formula are obtained;
The proportion of land transformation mode evaluation value under corresponding evaluation index is obtained according to standardization formula;
The entropy of corresponding evaluation index is obtained according to the proportion;
Power formula is assigned according to the entropy and common factor structure;
The entropy of corresponding index is obtained according to power formula is assigned;
Objective weight and the output of the entropy composing indexes layer and rule layer of each index.
5. Rural Land Circulation pattern Performance Evaluation Methods according to claim 4, characterized in that described to be weighed according to subjectivity
The Euclidean distance of weight and objective weight determines the distribution weight of subjective weight and objective weight, including:
The Euclidean distance of subjective weight and objective weight is set as d (A, B), the distribution weight of subjective weight is α, objective weight
Distribution weight is β, when α and β meets:
Then:α is the distribution weight of required subjective weight, and β is the distribution weight of required objective weight.
6. Rural Land Circulation pattern Performance Evaluation Methods according to claim 1, characterized in that
The destination layer includes the result to Rural Land Circulation performance appraisal;
The rule layer includes Economy Growth Performance, social development performance and ecological environment performance;
The indicator layer includes several indexs in every layer of rule layer.
7. Rural Land Circulation pattern Performance Evaluation Methods according to claim 4, characterized in that the standardization formula
Standardization formula and numerical value including the smaller the better index of numerical value are the bigger the better the standardization formula of index, wherein:
Rural area Gini coefficient, rural area Engel coefficient, peasant's efficient employment time, unit rural holding applying quantity of chemical fertilizer, unit
Rural holding Pesticide use amount is the smaller the better variable of numerical value, and the mark of the smaller the better index of numerical value is used in standardisation process
Standardization formula;
Remaining variable is the variable that numerical value is the bigger the better, the standardization for the index that is the bigger the better using numerical value in standardisation process
Formula.
8. a kind of Rural Land Circulation pattern Performance Evaluation System, characterized in that including:
Appraisement system determination unit is configured to determine appraisement system;
Data acquisition unit is configured to data acquisition;
Subjective weight unit is configured to determine the subjective weight of rule layer and indicator layer;
Objective weight unit is configured to determine the objective weight of indicator layer and rule layer;
Weight unit is distributed, is configured to determine the distribution weight of subjective weight and objective weight;
Comprehensive weight unit is configured to, according to the subjective weight of rule layer and indicator layer, objective weight and distribution weight, obtain
To its corresponding comprehensive weight;
Normalization unit is configured to be normalized;
Arithmetic element is configured to, according to improved indicator layer comprehensive weight, obtain Rural Land Circulation pattern performance appraisal
As a result;
Output unit is configured to output Rural Land Circulation pattern performance appraisal result.
9. a kind of equipment, characterized in that the equipment includes:
One or more processors;
Memory, for storing one or more programs,
When one or more of programs are executed by one or more of processors so that one or more of processors
Execute the Rural Land Circulation pattern Performance Evaluation Methods as described in claim 1-7 is any.
10. a kind of computer readable storage medium being stored with computer program, characterized in that when the program is executed by processor
Realize the Rural Land Circulation pattern Performance Evaluation Methods as described in claim 1-7 is any.
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CN111176711A (en) * | 2019-12-19 | 2020-05-19 | 北京体育大学 | Method and system for reminding maintenance of application system |
CN111859535A (en) * | 2020-06-20 | 2020-10-30 | 武汉理工大学 | Polar cruise ship fin stabilizer selection method and device based on AHP-entropy weight method |
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