CN108305021A - A kind of requisition-compensation balance Performance Evaluation Methods under the model based on PSR - Google Patents
A kind of requisition-compensation balance Performance Evaluation Methods under the model based on PSR Download PDFInfo
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Abstract
The invention discloses the requisition-compensation balance Performance Evaluation Methods under a kind of model based on PSR, and described method includes following steps：Each evaluation index element under requisition-compensation balance policy is set up into corresponding pressure state and responds PSR model index systems；Pressure index evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate under pressure state response PSR model index systems is calculated using good and bad solution distance TOPSIS methods；Coordination angle value between pressure index evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate is calculated using degrees of coordination function.Through the embodiment of the present invention, PSR models embody the interaction relationship between the mankind and environment, highlight population, society, the economic influence to policy, and can carry out comprehensive evaluation from the overall process of policy, effectively compensate for drawbacks described above.
Description
Technical field
The present invention relates to information technology fields, and in particular to the requisition-compensation balance performance under a kind of model based on PSR is commented
Valence method.
Background technology
With deepening constantly for China's Land Resources Management system reform, the theory of quantity of cultivated land and quality and weight management
It has gradually been deep into the every aspect of cultivated land protection.The shortcoming of requisition-compensation balance policy implementation power, wherein critically important
The reason is that a kind of scientific and reasonable method of shortcoming goes to examine the effect of policy implementation, this also illustrates the arable lands in China to account for filling-in
There is defects for the Performance Evaluation System that weighs.Therefore, the validity for how evaluating requisition-compensation balance policy is of great significance.
Importance of the requisition-compensation balance on protecting farmland is unquestionable, but if without suitable appraisal mechanism, then
It is difficult to be able to effective execution in the real work in place.Small big shield of soup etc. is asked for existing for current balance between occupying and compensation appraisal mechanism
Topic, it is believed that should consider balance between occupying and compensation evaluation criteria system and base control index system, structure science, effective two simultaneously
Grade balance between occupying and compensation performance assessment criteria system.The prior art thinks have during implementing balance between occupying and compensation policy " being dominant, it is bad to mend "
Phenomenon proposes the method that will be examined as the balance between occupying and compensation by equal conversions for this case.In addition, Liu Runqiu it is also believed that
There are many " being dominant, it is bad to mend ", " Land Conversion " and " void is mended " etc. is practical during the implementation of balance between occupying and compensation policy
Problem, it should grope " accounting for ", " benefit " two side's long-term gain win-win method, realize requisition-compensation balance in grain-production power.
It is at present the effect left for from single angle to being generated after policy execution about majority in the research of requisition-compensation balance evaluation
Benefit is evaluated, and the less evaluation for leaving for carrying out Comprehensive from the angle of system, and the structure of evaluation index is also less to be examined
Consider the synergistic effect relationship between each evaluation index.
The existing research evaluated requisition-compensation balance performance is all the phase to being generated after balance between occupying and compensation policy execution
It closes result to be analyzed and evaluated, typically directly quantity of cultivated land, quality, grain after requisition-compensation balance policy execution is given birth to
The variation of force of labor etc. is evaluated, or reflects requisition-compensation balance indirectly by the method for Quantity-quality Convert by ploughing
The quality of policy execution.
Balance Analysis method is easily understood, and is easily mastered and operates, but there is a problem of certain.Instantly it uses
Majority is from single angle, e.g. to political affairs in the research that Balance Analysis method is evaluated about requisition-compensation balance
The variation of quantity of cultivated land, quality is analyzed after plan is implemented.But in requisition-compensation balance implementation process, human factor, society
Meeting economic environment factor can all have an impact its implementation result, therefore only less from the angle of system from single angle
Degree leave for carry out Comprehensive evaluation can to result generate certain error, more have infelicity reality.
Existing commonly by Quantity-quality Convert method, there are certain limitation and defects, because in establishment Quantity-quality Convert coefficient
During, there is the factors of man's activity.To make greatest level conversion factor become smaller, there is artificial adjustment sampling point, raise
Low other farming land grain production capacity, the phenomenon that forcing down high grade farming land grain production capacity, so as to cause Quantity-quality Convert
There are certain deviations for coefficient and actual state, therefore can be had an impact to the evaluation result of requisition-compensation balance performance.
Invention content
Technical scheme of the present invention is left for from single angle to practical policies existing for requisition-compensation balance performance appraisal
The defect that the benefit generated after applying is evaluated.By from the angle of system, to three periods after in before policy execution
The influence of generation carries out evaluation analysis, fully considers the synergistic effect relationship between each evaluation index, and reducing evaluation result may
The error of generation and incomprehensive.
The present invention provides the requisition-compensation balance Performance Evaluation Methods under a kind of model based on PSR, the method includes
Following steps：
Each evaluation index element under requisition-compensation balance policy is set up into corresponding pressure state and responds PSR
Model index system；
The pressure index under pressure state response PSR model index systems is calculated using good and bad solution distance TOPSIS methods to comment
Value, state index evaluation of estimate and response index evaluation of estimate；
It is calculated between pressure index evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate using degrees of coordination function
Coordination angle value.
Each evaluation index element under the policy by requisition-compensation balance sets up corresponding pressure state response
PSR model index systems include：
By farmland loss caused by construction, farmland loss caused by construction grade, per capita area of cultivated farmland change rate, farming pressure variation
Rate is as the pressure evaluation object in PSR models；
Change rate, the average annual change rate of water and soil degrees of coordination, per capita net income for farmers change rate, per capita are ensured stable yields despite drought or excessive rain into farmland
Grain yield change rate is as the state evaluation object in PSR models；
Using replenished cultivated land area, replenished cultivated land quality grade, per capita cultivated land's reserved resources, arable land supplement coefficient as PSR
Response evaluation object in model.
The pressure using under good and bad solution distance TOPSIS methods calculating pressure state response PSR model index systems refers to
Mark evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate include：
Evaluation index progress for evaluation unit selection involved under each evaluation object in PSR models is comprehensive
Evaluation is closed, the raw data matrix under each described evaluation object is obtained；
It is normalized for the raw data matrix under each described evaluation object, obtains numerical value standardization
Numerical matrix afterwards；
To the weighted decision matrix of the numerical matrix construction standardization after normalized；
By under each described evaluation object indices optimal value and most bad value calculate under weighted decision matrix
Optimal value and most bad value；
Using European norm based under weighted decision matrix optimal value and most bad value calculate each evaluation unit with most
The distance of the figure of merit and most bad value；
Calculate each evaluation unit and the relative proximities of optimal value.
It is described that pressure index evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate are calculated using degrees of coordination function
Between coordination angle value include：
It will be between pressure index evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate and comment with pressure index
The evolution of quadratic sum between value, state index evaluation of estimate and response index evaluation of estimate is compared to obtain system
Composite index.
The embodiment of the present invention uses " pressure-state-response " (Pressure-State-Response, PSR) model
Overall merit is carried out to requisition-compensation balance performance.PSR models embody the interaction relationship between the mankind and environment, by force
Population, society, the economic influence to policy have been adjusted, and comprehensive evaluation can be carried out from the overall process of policy, effectively
Compensate for drawbacks described above.It is based under PSR models carrying out overall merit, and and political affairs to requisition-compensation balance performance in consideration of it, inquiring into
The investigation result of appraisal at mansion are compared, to for establish complete requisition-compensation balance Performance Evaluation System provide it is certain
Theory and technology supports.To evaluation index using the evaluation measuring method (TOPSIS Technique for Order Preference by Similarity to an Ideal Solutions) of more objective science
Evaluation index measuring and calculating is carried out, reaching at a distance from optimal solution, most inferior solution by measuring and calculating evaluation object, which reduces subjective factor, does
It disturbs, improves the purpose of index accuracy, and presented with visualization means.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will to embodiment or
Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
Some embodiments of the present invention, for those of ordinary skill in the art, without creative efforts, also
Other attached drawings can be obtained according to these attached drawings.
Fig. 1 is in the embodiment of the present invention based on the requisition-compensation balance Performance Evaluation Methods flow chart under PSR models；
Fig. 2 is being referred to using good and bad solution distance TOPSIS methods calculating pressure state response PSR models in the embodiment of the present invention
Pressure index evaluation of estimate method flow diagram under mark system.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art obtained without creative efforts it is all its
Its embodiment, shall fall within the protection scope of the present invention.
Requisition-compensation balance Performance Evaluation Methods under the model according to the present invention based on PSR, the method includes such as
Lower step：Each evaluation index element under requisition-compensation balance policy is set up into corresponding pressure state and responds PSR moulds
Type index system；Pressure index under pressure state response PSR model index systems is calculated using good and bad solution distance TOPSIS methods
Evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate；Pressure index evaluation of estimate, state are calculated using degrees of coordination function
Coordination angle value between metrics evaluation value and response index evaluation of estimate.
Specifically, Fig. 1 show in the embodiment of the present invention based on the requisition-compensation balance performance appraisal under PSR models
Method flow diagram includes the following steps：
S101, each evaluation index element under requisition-compensation balance policy is set up to corresponding pressure state sound
Answer PSR model index systems；
Requisition-compensation balance meaned within specific time and region, by taking certain measure, to realize region
The overall stability in interior arable land.But with urbanization and the quickening of process of industrialization and the violent growth of urban population, arable land
The balance between occupying and compensation will face the increasing pressure (P).And under pressure, arable land scale, quality and region in region
Economy and the states (S) such as grain security will change.Government or land management person are according to the pressure of requisition-compensation balance
Power, state and its variation and make corresponding response (R).PSR models are circulated throughout by " effect-feed back-remake use "
The validity of requisition-compensation balance is continuously improved in journey, to be finally reached the target protected farmland.Meanwhile requisition-compensation balance
In pressure, state, response system should keep balancing, either party difference can all have an impact the benefit of generation.Cause
This, requisition-compensation balance performance appraisal is substantially the coordination assessment to pressure-state-response system in overall process,
Degrees of coordination is higher to show that performance is better, conversely, then poorer.
According to the PSR evaluation model frames of requisition-compensation balance, it then follows the typicalness of selecting index, systematicness and can measure
The principles such as the property changed, establish the assessment indicator system of concentrated expression requisition-compensation balance level of performance, which, which is divided into, comments
4 marked price mark, evaluation object, evaluation index and target function levels, totally 12 index factors, are shown in Table 1.
The requisition-compensation balance Performance Index of 1 PSR models of table
In specific implementation process, by farmland loss caused by construction, farmland loss caused by construction grade, per capita area of cultivated farmland change rate, plough
Ground pressure variational rate is as the pressure evaluation object in PSR models；Change rate, water and soil degrees of coordination are ensured stable yields despite drought or excessive rain into farmland
Average annual change rate, per capita net income for farmers change rate, per capita output of grain change rate are as the state evaluation pair in PSR models
As；Using replenished cultivated land area, replenished cultivated land quality grade, per capita cultivated land's reserved resources, arable land supplement coefficient as PSR models
In response evaluation object.
S102, the pressure calculated using good and bad solution distance TOPSIS methods under pressure state response PSR model index systems are referred to
Mark evaluation of estimate；
TOPSIS methods (Technique for Order Preference by Similarity to Ideal
Solution it is) method being ranked up according to the degree of closeness of limited a evaluation object and idealization target, is existing
The evaluation of relative superior or inferior is carried out in object.Its basic principle be by calculate evaluation object at a distance from optimal solution, most inferior solution come
It is ranked up, and is used as the foundation of evaluation object quality with the relative proximity of evaluation object and optimal solution.Made with this
For the measuring and calculating side of pressure in requisition-compensation balance Performance Index under PSR models -3 subsystems of state-response
Method.
Specifically, Fig. 2 shows calculate pressure state using good and bad solution distance TOPSIS methods in the embodiment of the present invention to ring
The pressure index evaluation of estimate method flow diagram under PSR model index systems is answered, is specifically comprised the following steps：
S201, the evaluation index selected for evaluation unit involved under the pressure index evaluation object in PSR models
Overall merit is carried out, the raw data matrix under each described evaluation object is obtained；
In specific implementation process, TOPSIS methods (Technique for Order Preference by Similarity
To Ideal Solution) it is the method being ranked up according to the degree of closeness of limited a evaluation object and idealization target,
It is the evaluation that relative superior or inferior is carried out in existing object.Its basic principle is by calculating evaluation object and optimal solution, most bad
The distance of solution is ranked up, and with the relative proximity of evaluation object and optimal solution be used as evaluation object it is good and bad according to
According to.It is used as under PSR models pressure in requisition-compensation balance Performance Index-subsystem of state-response 3 with this
The measuring method of system.
P evaluation index is selected to carry out overall merit n evaluation unit under pressure system, raw data matrix is such as
Under：
Wherein：X indicates pressure system, X11Indicate the 1st evaluation index in the 1st evaluation unit under pressure system,
XnpIndicate p-th of evaluation index in n-th of evaluation unit under pressure system.
S202, it is normalized for the raw data matrix under pressure index evaluation object, obtains numerical value specification
Numerical matrix after change；
In specific implementation process, the initial data under pressure system is normalized, obtains numerical value standardization
Pressure system numerical matrix after (the reverse numerical value of specification) is as follows：
Initial data normalized is realized by following formula：
Wherein gijEach specific targets in homography G indicate i-th evaluation of the pressure system after numerical value standardization
J-th of evaluation index in unit.
S203, the weighted decision matrix to standardize to the numerical matrix construction after normalized；
In specific implementation process, the weighted decision matrix Z of standardization is constructed to the matrix G after normalized numerical value,
It is specific as follows：
The weighted decision matrix of index construction standardization in matrix G is realized by following formula： zij=gij×ωj
(i=1,2 ..., n；J=1,2 ..., p), wherein ZijIndicate i-th of evaluation unit of the pressure system after weighted decision matrix
In j-th of evaluation index, gijEach specific targets in homography G, ωjFor the weight of j-th of index.
S204, optimal value and most bad value under weighted decision matrix are calculated by indices optimal value and most bad value；
By under pressure system indices optimal value and most bad value respectively constitute optimal value Z+Most bad value Z-, wherein Z+
Indicate optimal value and Z in matrix Z-Indicate the most bad value in matrix Z.
S205, using European norm based under weighted decision matrix optimal value and most bad value to calculate each evaluation single
Member is at a distance from optimal value and most bad value；
Calculate pressure system under each evaluation unit at a distance from optimal value and most bad value, using European norm into
Row calculates, and formula is as follows：
WhereinJ-th evaluation index and optimal value Z in i-th of evaluation unit in representing matrix Z+The distance between,J-th evaluation index and most bad value Z in i-th of evaluation unit in representing matrix Z-The distance between.
S205, each evaluation unit and the relative proximities of optimal value are calculated.
The relative proximities (evaluation of estimate) of each evaluation unit and optimal value under pressure system are calculated, formula is as follows：
S103, the state calculated using good and bad solution distance TOPSIS methods under pressure state response PSR model index systems are referred to
Mark evaluation of estimate；
Specific implementation step is similar in method and step shown in Fig. 2, for the state index evaluation in PSR models
The evaluation index of involved evaluation unit selection carries out overall merit under object, obtains the original under state index evaluation object
Beginning data matrix；It is normalized for the raw data matrix under state index evaluation object, obtains numerical value standardization
Numerical matrix afterwards；To the weighted decision matrix of the numerical matrix construction standardization after normalized；It is evaluated by state index
Indices optimal value and most bad value under object calculate optimal value and most bad value under weighted decision matrix；Using Europe
Formula norm based under weighted decision matrix optimal value and most bad value calculate each evaluation unit and optimal value and most bad value
Distance；Calculate each evaluation unit and the relative proximities of optimal value, you can obtain state index evaluation of estimate.
S104, the response calculated using good and bad solution distance TOPSIS methods under pressure state response PSR model index systems are referred to
Mark evaluation of estimate；
Specific implementation step is similar in method and step shown in Fig. 2, for the response index evaluation in PSR models
The evaluation index of involved evaluation unit selection carries out overall merit under object, obtains the original under response index evaluation object
Beginning data matrix；It is normalized for the raw data matrix under response index evaluation object, obtains numerical value standardization
Numerical matrix afterwards；To the weighted decision matrix of the numerical matrix construction standardization after normalized；It is evaluated by response index
Indices optimal value and most bad value under object calculate optimal value and most bad value under weighted decision matrix；Using Europe
Formula norm based under weighted decision matrix optimal value and most bad value calculate each evaluation unit and optimal value and most bad value
Distance；Calculate each evaluation unit and the relative proximities of optimal value, you can obtain response index evaluation of estimate.
S105, pressure index evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate are calculated using degrees of coordination function
Between coordination angle value.
With TOPSIS methods carry out evaluation can only reflected appraisal object good and bad degree, cannot reflect different evaluation index
Between interaction relationship, and requisition-compensation balance performance appraisal is the entirety to pressure -3 subsystems of state-response
It is evaluated, either party disengaging can all influence final result.Therefore, degrees of coordination function is introduced to judge pressure-
The quality of the coordination situation of state-response whole system.Degrees of coordination be between system or factor of system between in evolution
In perfect harmony degree each other, harmonious key is the " collaboration that is mutually related between each subsystem of internal system to system each other
Effect ", the measuring and calculating then measurement exactly to this synergistic effect of degrees of coordination function.Degrees of coordination measuring and calculating is by each element in system
Between and the evolution of quadratic sum between each element be compared, to obtain the composite index of a system, formula is such as
Under：
Wherein, CiFor the degrees of coordination index of i-th of evaluation unit；The pressure of respectively i-th evaluation unit
Power, state, the evaluation of estimate for responding 3 subsystems.
According to the PSR evaluation models of requisition-compensation balance, acquires the pressure in PSR evaluation models with TOPSIS methods and refer to
Number, state indices, response index, reference degrees of coordination function obtain the intelligent housing zone of three kinds of indexes, 21 prefecture-level cities are saved to certain
The aggregate level of the requisition-compensation balance performance of 2011-2015 is evaluated in administrative region.Concrete operation the results are shown in Table 2
It is shown.
Table 2 certain save 2011-2015 years requisition-compensation balance performance appraisal results
According to the Regional Distribution Characteristics of PSR system coordination degree, with the naturally best breaking point stage divisions of Jenks, area
Between grade scale be set to：Level-one section [1.75,1.58], two level section [1.57,1.44], three-level section [1.43,1.35],
Level Four section [1.34,0] saves 21 prefecture-level city's requisition-compensation balance performance and grade and determine in conjunction with the degrees of coordination of table 2 to certain
Grade, obtains table 3.
Table 3 certain save 2011-2015 years requisition-compensation balance performance appraisal grade classifications
In certain saves 21 prefecture-level cities, the value of utility of the requisition-compensation balance performance of most cities be concentrate on 1 grade, 2
Grade section, illustrate that the whole requisition-compensation balance performance of certain province is preferable, but area differentiation is also more apparent.It is assisted from PSR systems
From the point of view of dispatching score value, highest score value is Yangjiang, and minimum is Zhuhai, and high score region is mainly distributed on Yangjiang, Qingyuan City, favour
The areas such as state, Maoming, riverhead illustrate that the requisition-compensation balance performance in these areas is optimal.From the point of view of spatial distribution, pearl three
The PSR system coordination degree score values of angle region of no relief focus primarily upon 3 grades, 4 grades of sections, illustrate the requisition-compensation balance achievement of Pearl River Delta
Imitate poor, and certain PSR system coordination degree score value for saving both wings areas is higher, and requisition-compensation balance policy performance is preferable.
There is experimental result of the present invention it is found that the requisition-compensation balance level of performance of certain province's most area is all preferable.
2016, certain general office of provincial people's government《Notification about 2016 annual the whole province cultivated land protection target responsibility check situations》In
Also there is same conclusion, certain, which is saved continuous 17 years, realizes requisition-compensation balance, effectively completes requisition-compensation balance correlation work
Make.This explanation matches to the result of certain province's requisition-compensation balance performance appraisal with the government result of appraisal based on PSR models.
It may also be aware of by this result of study, the area differentiation that certain saves requisition-compensation balance performance appraisal is apparent, wherein being distributed
City level of performance in Pearl River Delta Plain region is relatively poor, and it is all preferable to be distributed in the city level of performance that certain saves both wings.It is logical
It crosses in the 2011-2015 cultivated land protection Checks notification for count the publication of certain general office of provincial people's government and filling-in is accounted for arable land
The related Check of weighing apparatus is it is found that the cities such as Maoming City, Qingyuan City, Huizhou City, Heyuan City, Jiangmen city repeatedly obtain the examination first prize
Title, this illustrate cities' effective execution such as Maoming City, Qingyuan City, Huizhou City, Heyuan City, Jiangmen city cultivated land protection, arable land account for
Work in terms of filling-in weighing apparatus.Classification results and government of this explanation based on PSR models to certain province's requisition-compensation balance performance appraisal
Evaluation classification results match, and have certain practical reference.
To sum up, the embodiment of the present invention uses " pressure-state-response " (Pressure-State-Response, PSR)
Model carries out overall merit to requisition-compensation balance performance.PSR models embody the pass of the interaction between the mankind and environment
System highlights population, society, the economic influence to policy, and comprehensive comment can be carried out from the overall process of policy
Valence effectively compensates for drawbacks described above.It is based under PSR models carrying out comprehensive comment to requisition-compensation balance performance in consideration of it, inquiring into
Valence, and be compared with the investigation result of appraisal of government, to be carried to establish complete requisition-compensation balance Performance Evaluation System
It is supported for certain theory and technology.To evaluation index using evaluation measuring method (the TOPSIS quality solutions of more objective science
Furthest Neighbor) evaluation index measuring and calculating is carried out, reach reduction subjectivity at a distance from optimal solution, most inferior solution by calculating evaluation object
Factor is interfered, and the purpose of index accuracy is improved, and is presented with visualization means.
PSR models be it is a kind of can reflect between each element of system the mutually model of conspiracy relation, and to be accounted for arable land
Filling-in weighing apparatus performance is comprehensively evaluated, and needs to carry out synthesis to each element of balance between occupying and compensation implementation process to consider, therefore PSR
Model is suitable for the index system establishment based on requisition-compensation balance performance appraisal, is conducive to clear the balance between occupying and compensation each stage anti-
Correlation between the index reflected.Conventional method is solved existing for requisition-compensation balance performance appraisal to go out from single angle
Hair goes the defect evaluated the benefit generated after policy execution.By from the angle of system, before policy execution
In after the influence that generates of three periods carry out evaluation analysis, fully consider the synergistic effect relationship between each evaluation index, reduce
The issuable error of evaluation result and incomprehensive.To evaluation index using the evaluation measuring method of more objective science
(TOPSIS Technique for Order Preference by Similarity to an Ideal Solutions) carries out evaluation index measuring and calculating, is calculated specifically with TOPSIS methods and introducing degrees of coordination function
Requisition-compensation balance level of performance, the mutual association between each element of requisition-compensation balance is reflected by specific numerical value
Scheduling.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium may include：Read-only memory (ROM, Read Only Memory), random access memory (RAM, Random
Access Memory), disk or CD etc..
Be provided for the embodiments of the invention above based on the requisition-compensation balance Performance Evaluation Methods under PSR models into
It has gone and has been discussed in detail, principle and implementation of the present invention are described for specific case used herein, the above implementation
The explanation of example is merely used to help understand the method and its core concept of the present invention；Meanwhile for the general technology people of this field
Member, according to the thought of the present invention, there will be changes in the specific implementation manner and application range, in conclusion this explanation
Book content should not be construed as limiting the invention.
Claims (4)
1. the requisition-compensation balance Performance Evaluation Methods under a kind of model based on PSR, which is characterized in that the method includes as follows
Step：
Each evaluation index element under requisition-compensation balance policy is set up corresponding pressure state response PSR models to refer to
Mark system；
Using good and bad solution distance TOPSIS methods calculate pressure state response PSR model index systems under pressure index evaluation of estimate,
State index evaluation of estimate and response index evaluation of estimate；
Coordination between pressure index evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate is calculated using degrees of coordination function
Angle value.
2. as described in claim 1 based on the requisition-compensation balance Performance Evaluation Methods under PSR models, which is characterized in that institute
It states and each evaluation index element under requisition-compensation balance policy is set up to corresponding pressure state response PSR model indexs
System includes：
Using farmland loss caused by construction, farmland loss caused by construction grade, per capita area of cultivated farmland change rate, farming pressure change rate as
Pressure evaluation object in PSR models；
Change rate, the average annual change rate of water and soil degrees of coordination, per capita net income for farmers change rate, per capita grain production are ensured stable yields despite drought or excessive rain into farmland
Quantitative change rate is as the state evaluation object in PSR models；
Using replenished cultivated land area, replenished cultivated land quality grade, per capita cultivated land's reserved resources, arable land supplement coefficient as PSR models
In response evaluation object.
3. as claimed in claim 2 based on the requisition-compensation balance Performance Evaluation Methods under PSR models, which is characterized in that institute
State the pressure index evaluation of estimate calculated using good and bad solution distance TOPSIS methods under pressure state response PSR model index systems, shape
State metrics evaluation value and response index evaluation of estimate include：
Comprehensive comment is carried out for the evaluation index of evaluation unit selection involved under each evaluation object in PSR models
Valence obtains the raw data matrix under each described evaluation object；
It is normalized for the raw data matrix under each described evaluation object, obtains the number after numerical value standardization
Value matrix；
To the weighted decision matrix of the numerical matrix construction standardization after normalized；
By under each described evaluation object indices optimal value and most bad value calculate under weighted decision matrix most
The figure of merit and most bad value；
Using European norm based under weighted decision matrix optimal value and most bad value calculate each evaluation unit and optimal value
The distance of most bad value；
Calculate each evaluation unit and the relative proximities of optimal value.
4. as claimed in claim 3 based on the requisition-compensation balance Performance Evaluation Methods under PSR models, which is characterized in that institute
State the degrees of coordination calculated using degrees of coordination function between pressure index evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate
Value includes：
By it is between pressure index evaluation of estimate, state index evaluation of estimate and response index evaluation of estimate and with pressure index evaluation of estimate,
The synthesis that the evolution of quadratic sum between state index evaluation of estimate and response index evaluation of estimate is compared to obtain a system refers to
Number.
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| CN109214686A (en) * | 2018-09-10 | 2019-01-15 | 华南农业大学 | A kind of quantitative analysis method towards requisition-compensation balance |
| CN110455696A (en) * | 2019-08-15 | 2019-11-15 | 天津海关工业产品安全技术中心 | A kind of children's paper diaper functionality assessment method |
| CN111882222A (en) * | 2020-07-30 | 2020-11-03 | 南昌市国土资源勘测规划院有限公司 | Industrial land performance evaluation method and evaluation device |
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| CN109214686A (en) * | 2018-09-10 | 2019-01-15 | 华南农业大学 | A kind of quantitative analysis method towards requisition-compensation balance |
| CN110455696A (en) * | 2019-08-15 | 2019-11-15 | 天津海关工业产品安全技术中心 | A kind of children's paper diaper functionality assessment method |
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