CN105913327A - Agricultural scientific and technical achievement level evaluation method and agricultural scientific and technical achievement level evaluation device - Google Patents
Agricultural scientific and technical achievement level evaluation method and agricultural scientific and technical achievement level evaluation device Download PDFInfo
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Abstract
The invention relates to an agricultural scientific and technical achievement level evaluation method and agricultural scientific and technical achievement level evaluation device, wherein the method comprises the steps of determining a plurality of influence factor indexes of the agricultural scientific and technical achievement level, dividing the influence factor indexes into three grades, thereby establishing a three-grade index system according to a dividing result; determining the weight of each influence factor index through a hierarchy analyzing method, and constructing a three-stage fuzzy integrated evaluation model for evaluating the agricultural scientific and technical achievement level, thereby evaluating the to-be-evaluated agricultural scientific and technical achievement, and returning an evaluation result. According to the agricultural scientific and technical achievement level evaluation method and the agricultural scientific and technical achievement level evaluation device, based on dividing on the influence factors of the agricultural scientific and technical achievement level to three grades, and constructing the three-stage fuzzy integrated evaluation model for evaluating the agricultural scientific and technical achievement level according to the hierarchy analyzing method, comprehensive evaluation which is suitable for the agricultural scientific and technical achievement level in Chinese condition can be realized. The agricultural scientific and technical achievement level evaluation method and the agricultural scientific and technical achievement level evaluation device have advantages of promoting conversion of the agricultural scientific and technical achievement into actual productivity, accelerating agricultural scientific and technical technology development, and furthermore improving economic construction and society development.
Description
Technical field
The present invention relates to agricultural technology and assessment of levels technical field, particularly relate to a kind of agricultural science and technology achievement assessment of levels
Method and device.
Background technology
Agricultural is the basis of Chinese national economy, agricultural sound development be national economy develop in a healthy way, social stability and
The important leverage that humorous, ability for the nation to stand on its own is improved oneself.After proposing quickening reclaiming traditional agriculture, walking distinct Chinese characteristics agricultural modernization path,
The agri-scientific research of China, educational level constantly promote, and promote agricultural science and technology achievement increasing.
Transformation of Agricultural Sci-Tech Achievements degree and transformation efficiency are to weigh a country agricultural technology renovation ability
Important symbol, is also deciding factor present stage promoting agricultural production.Therefore, agricultural science and technology achievement is carried out objective reasonably
Evaluate promoting that Transformation of Agricultural Sci-Tech Achievements is actual productivity, accelerate agricultural cience and farming techniques progress, and then promote economic construction
It is of great significance with social development tool.
But, due to the evaluation of the agricultural science and technology achievement level of China, to relate to technical, benefit and marketability etc. multiple
Aspect, and the influence index having is numerous, often cannot be met evaluation requirement by single pollution assessment method.Additionally, these shadows
The impact of agricultural science and technology achievement level is not necessarily independent by snap mark, but associated with each other, and its incidence relation has very
Big ambiguity.The ambiguity of these objective realities, often makes the impact of agricultural science and technology achievement level be difficult to be measured accurately
Change.Thus simply compare and describe the state of development that can not objectively respond agricultural science and technology achievement level.Therefore, existing urgently
One of technical problem to be solved is: how to explore the integrated evaluating method of the agricultural science and technology achievement level of applicable China's national situation.
Summary of the invention
For solving above-mentioned technical problem, the present invention proposes techniques below scheme:
A kind of agricultural science and technology achievement level evaluation method, including:
Determine multiple influence factor's indexs of agricultural science and technology achievement level, and the plurality of influence factor's index is carried out three
Level divides, to set up three grades of index systems for assessing agricultural science and technology achievement level according to the result divided；
The weight of influence factor's indexs at different levels in described three grades of index systems is determined by Hierarchy Analysis Method, and according to institute
The weight stating influence factor's index at different levels builds the three-stage fuzzy logic model evaluating agricultural science and technology achievement level；
According to described three-stage fuzzy logic model being evaluated agricultural science and technology achievement to be evaluated, and return is commented
Valency result.
Alternatively, the described multiple influence factor's indexs determining agricultural science and technology achievement level, and on the plurality of affect because of
Element index carries out three grades of divisions, including:
Set up 3 first order impact factor indexs: technical index, benefit index, marketability index；
At least one in following Secondary influence factors index is set up under described technical index: technical merit index,
Technical risk index；
At least one in following Secondary influence factors index is set up under described benefit index: economic benefits indicator,
Eco-efficiency index, social benefit index；
At least one in following Secondary influence factors index is set up under described marketability index: market environment index,
Market risk index；
At least one in following three grades of influence factor's indexs is set up: technological innovation refers under described technical merit index
It is complete that mark, technical advance index, technical difficulty and complexity index, technology maturity and reliability index, technology describe
Standby property index, the suitability index of technology, intellectual property state index, technical standard grading index, supporting technology provide ability
Index, technology redevelopment potentiality index；
At least one in following three grades of influence factor's indexs is set up: technical life risk under described technical risk index
Index, technical staff's availability risk indicator, the counterfeit risk indicator of technology；
At least one in following three grades of influence factor's indexs is set up: one-time investment amount under described economic benefits indicator
Index, the follow-up investment indicator of costs, profit ratio of cost index, index payoff period；
At least one in following three grades of influence factor's indexs is set up: environmental pollution refers under described eco-efficiency index
Mark, utilization of resources index, improvement of environment index；
At least one in following three grades of influence factor's indexs is set up: to decision-making management under described social benefit index
Effect index, mental attitude index of improving, the post index that creates more jobs, industry drive effectiveness indicator, index of optimizing the structure of production；
At least one in following three grades of influence factor's indexs is set up: the market demand refers under described market environment index
Mark, market acceptance index, policy support level index, promotion prospect index；
At least one in following three grades of influence factor's indexs is set up: market demand risk under described market risk index
Index, market competition risk.
Alternatively, described the power of influence factor's indexs at different levels in described three grades of index systems is determined by Hierarchy Analysis Method
Weight, and the three-stage fuzzy logic evaluating agricultural science and technology achievement level is built according to the weight of described influence factor's indexs at different levels
Model, including:
The comment that every grade of sub-factor is corresponding concentrated by the factor of evaluation collection that foundation comprises three grades of sub-factors with described factor of evaluation
Collection；
The expert according to the association area relative importance to the influence factor's indexs at different levels in described three grades of index systems
Evaluation result and the evaluation result structure fuzzy judgment matrix to described influence factor's indexs at different levels；
The weight vectors of influence factor's indexs at different levels in described three grades of index systems is determined by analytic hierarchy process (AHP)；
Weight vectors according to described fuzzy judgment matrix and described influence factor's index at different levels is by described three grades of index bodies
Third level influence factor's mark sense first order influence factor's index in system carries out Comprehensive Fuzzy Evaluation step by step, to combine according to described
The result closing fuzzy evaluation builds the three-stage fuzzy logic model evaluating agricultural science and technology achievement level.
Alternatively, the power of the described influence factor's indexs at different levels determined by analytic hierarchy process (AHP) in described three grades of index systems
After weight vector, described method also includes:
According to matrix theory, described judgment matrix carried out consistency check, and adjust described judgement square according to assay
Battle array.
Alternatively, described according to described three-stage fuzzy logic model, the carrying out of agricultural science and technology achievement to be evaluated is commented
Valency, including:
Obtain the expert of described agricultural science and technology achievement art to be evaluated to described agricultural science and technology achievement to be evaluated
The relative importance evaluation result of influence factor's indexs at different levels and at different levels in described agricultural science and technology achievement to be evaluated
The evaluation result of influence factor's index；
The relative importance evaluation result of the influence factor's indexs at different levels according to described agricultural science and technology achievement to be evaluated with
And the evaluation result of the influence factor's indexs at different levels in described agricultural science and technology achievement to be evaluated called described three grades fuzzy combine
Close evaluation model and described agricultural science and technology achievement to be evaluated is carried out level of aggregation evaluation.
A kind of agricultural science and technology achievement assessment of levels device, including:
Index system determines unit, for determining multiple influence factor's indexs of agricultural science and technology achievement level, and to described
Multiple influence factor's indexs carry out three grades of divisions, to set up for assessing the three of agricultural science and technology achievement level according to the result divided
Level index system；
Evaluation model construction unit, for by Hierarchy Analysis Method determine in described three grades of index systems at different levels affect because of
The weight of element index, and the three grades of moulds evaluating agricultural science and technology achievement level are built according to the weight of described influence factor's indexs at different levels
Stick with paste comprehensive evaluation model；
Assessment of results unit, is used for according to described three-stage fuzzy logic model agricultural science and technology achievement to be evaluated
It is evaluated, and returns evaluation result.
Alternatively, described index system determines unit, is further used for:
Set up 3 first order impact factor indexs: technical index, benefit index, marketability index；
At least one in following Secondary influence factors index is set up under described technical index: technical merit index,
Technical risk index；
At least one in following Secondary influence factors index is set up under described benefit index: economic benefits indicator,
Eco-efficiency index, social benefit index；
At least one in following Secondary influence factors index is set up under described marketability index: market environment index,
Market risk index；
At least one in following three grades of influence factor's indexs is set up: technological innovation refers under described technical merit index
It is complete that mark, technical advance index, technical difficulty and complexity index, technology maturity and reliability index, technology describe
Standby property index, the suitability index of technology, intellectual property state index, technical standard grading index, supporting technology provide ability
Index, technology redevelopment potentiality index；
At least one in following three grades of influence factor's indexs is set up: technical life risk under described technical risk index
Index, technical staff's availability risk indicator, the counterfeit risk indicator of technology；
At least one in following three grades of influence factor's indexs is set up: one-time investment amount under described economic benefits indicator
Index, the follow-up investment indicator of costs, profit ratio of cost index, index payoff period；
At least one in following three grades of influence factor's indexs is set up: environmental pollution refers under described eco-efficiency index
Mark, utilization of resources index, improvement of environment index；
At least one in following three grades of influence factor's indexs is set up: to decision-making management under described social benefit index
Effect index, mental attitude index of improving, the post index that creates more jobs, industry drive effectiveness indicator, index of optimizing the structure of production；
At least one in following three grades of influence factor's indexs is set up: the market demand refers under described market environment index
Mark, market acceptance index, policy support level index, promotion prospect index；
At least one in following three grades of influence factor's indexs is set up: market demand risk under described market risk index
Index, market competition risk.
Alternatively, described evaluation model construction unit, it is further used for:
The comment that every grade of sub-factor is corresponding concentrated by the factor of evaluation collection that foundation comprises three grades of sub-factors with described factor of evaluation
Collection；
The expert according to the association area relative importance to the influence factor's indexs at different levels in described three grades of index systems
Evaluation result and the evaluation result structure fuzzy judgment matrix to described influence factor's indexs at different levels；
The weight vectors of influence factor's indexs at different levels in described three grades of index systems is determined by analytic hierarchy process (AHP)；
Weight vectors according to described fuzzy judgment matrix and described influence factor's index at different levels is by described three grades of index bodies
Third level influence factor's mark sense first order influence factor's index in system carries out Comprehensive Fuzzy Evaluation step by step, to combine according to described
The result closing fuzzy evaluation builds the three-stage fuzzy logic model evaluating agricultural science and technology achievement level.
Alternatively, described device also includes:
Consistency check unit, for carrying out consistency check according to matrix theory to described judgment matrix, and according to inspection
Test result and adjust described judgment matrix.
Alternatively, described assessment of results unit, it is further used for:
Obtain the expert of described agricultural science and technology achievement art to be evaluated to described agricultural science and technology achievement to be evaluated
The relative importance evaluation result of influence factor's indexs at different levels and at different levels in described agricultural science and technology achievement to be evaluated
The evaluation result of influence factor's index；
The relative importance evaluation result of the influence factor's indexs at different levels according to described agricultural science and technology achievement to be evaluated with
And the evaluation result of the influence factor's indexs at different levels in described agricultural science and technology achievement to be evaluated called described three grades fuzzy combine
Close evaluation model and described agricultural science and technology achievement to be evaluated is carried out level of aggregation evaluation.
The agricultural science and technology achievement level evaluation method of the present invention and device, based on the multiple shadows to agricultural science and technology achievement level
Ring factor index and carry out three grades of divisions, and binding hierarchy is analyzed method and determined the weight of influence factor's index at different levels, comments to build
The three-stage fuzzy logic model of valency agricultural science and technology achievement level, can realize being suitable for the agricultural science and technology achievement level of China's national situation
Overall merit, can promote that Transformation of Agricultural Sci-Tech Achievements is actual productivity, accelerate agricultural cience and farming techniques progress, and then promote warp
Ji is built and social development.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is the present invention
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to
These accompanying drawings obtain other accompanying drawing.
Fig. 1 is the schematic flow sheet of the agricultural science and technology achievement level evaluation method of one embodiment of the invention；
Fig. 2 is the schematic flow sheet of the agricultural science and technology achievement level evaluation method of another embodiment of the present invention；
Fig. 3 is the structural representation of the agricultural science and technology achievement assessment of levels device of one embodiment of the invention；
Fig. 4 is the structural representation of the agricultural science and technology achievement assessment of levels device of another embodiment of the present invention.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
A part of embodiment rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not having
Make the every other embodiment obtained under creative work premise, broadly fall into the scope of protection of the invention.
Fig. 1 is the schematic flow sheet of the agricultural science and technology achievement level evaluation method of one embodiment of the invention；Such as Fig. 1 institute
Showing, the method includes:
S1: determine multiple influence factor's indexs of agricultural science and technology achievement level, and the plurality of influence factor's index is entered
Row three grades division, to set up three grades of index systems for assessing agricultural science and technology achievement level according to the result divided；
S2: determine the weight of influence factor's indexs at different levels in described three grades of index systems, and root by Hierarchy Analysis Method
The three-stage fuzzy logic model evaluating agricultural science and technology achievement level is built according to the weight of described influence factor's indexs at different levels；
S3: according to described three-stage fuzzy logic model being evaluated agricultural science and technology achievement to be evaluated, and return
Return evaluation result.
The agricultural science and technology achievement level evaluation method of the present embodiment, based on agricultural science and technology achievement level multiple are affected because of
Element index carries out three grades of divisions, and binding hierarchy is analyzed method and determined the weight of influence factor's index at different levels, evaluates agriculture to build
The three-stage fuzzy logic model of industry scientific and technological achievement level, can realize be suitable for China's national situation agricultural science and technology achievement level combine
Close and evaluate, can promote that Transformation of Agricultural Sci-Tech Achievements is actual productivity, accelerate agricultural cience and farming techniques progress, and then promote economy to build
And if social development.
Preferred as the present embodiment, determines multiple influence factor's indexs of agricultural science and technology achievement level in step S1, and
The plurality of influence factor's index is carried out three grades of divisions, can farther include:
Set up 3 first order impact factor indexs: technical index, benefit index, marketability index；
At least one in following Secondary influence factors index is set up under described technical index: technical merit index,
Technical risk index；
At least one in following Secondary influence factors index is set up under described benefit index: economic benefits indicator,
Eco-efficiency index, social benefit index；
At least one in following Secondary influence factors index is set up under described marketability index: market environment index,
Market risk index；
At least one in following three grades of influence factor's indexs is set up: technological innovation refers under described technical merit index
It is complete that mark, technical advance index, technical difficulty and complexity index, technology maturity and reliability index, technology describe
Standby property index, the suitability index of technology, intellectual property state index, technical standard grading index, supporting technology provide ability
Index, technology redevelopment potentiality index；
At least one in following three grades of influence factor's indexs is set up: technical life risk under described technical risk index
Index, technical staff's availability risk indicator, the counterfeit risk indicator of technology；
At least one in following three grades of influence factor's indexs is set up: one-time investment amount under described economic benefits indicator
Index, the follow-up investment indicator of costs, profit ratio of cost index, index payoff period；
At least one in following three grades of influence factor's indexs is set up: environmental pollution refers under described eco-efficiency index
Mark, utilization of resources index, improvement of environment index；
At least one in following three grades of influence factor's indexs is set up: to decision-making management under described social benefit index
Effect index, mental attitude index of improving, the post index that creates more jobs, industry drive effectiveness indicator, index of optimizing the structure of production；
At least one in following three grades of influence factor's indexs is set up: the market demand refers under described market environment index
Mark, market acceptance index, policy support level index, promotion prospect index；
At least one in following three grades of influence factor's indexs is set up: market demand risk under described market risk index
Index, market competition risk.
Fig. 2 is the schematic flow sheet of the agricultural science and technology achievement level evaluation method of another embodiment of the present invention；Such as Fig. 2 institute
Showing, the present embodiment, on the basis of a upper embodiment, determines described three grades of index systems by Hierarchy Analysis Method in step S2
In the weight of influence factor's indexs at different levels, and build according to the weight of described influence factor's indexs at different levels and evaluate agricultural science and technology achievement
The three-stage fuzzy logic model of level, can farther include:
S21: set up the factor of evaluation collection comprising three grades of sub-factors and concentrate with described factor of evaluation every grade of sub-factor corresponding
Comment gathers；
S22: according to relatively heavy to the influence factor's indexs at different levels in described three grades of index systems of the expert of association area
The property wanted evaluation result and the evaluation result structure fuzzy judgment matrix to described influence factor's indexs at different levels；
S23: determined the weight vectors of influence factor's indexs at different levels in described three grades of index systems by analytic hierarchy process (AHP)；
S24: referred to by described three grades according to the weight vectors of described fuzzy judgment matrix and described influence factor's index at different levels
Third level influence factor's mark sense first order influence factor's index in mark system carries out Comprehensive Fuzzy Evaluation, step by step with according to institute
The result stating Comprehensive Fuzzy Evaluation builds the three-stage fuzzy logic model evaluating agricultural science and technology achievement level.:
As this implement preferred, in step S23 by analytic hierarchy process (AHP) determine in described three grades of index systems at different levels
After the weight vectors of influence factor's index, described method also includes:
S23 ': according to matrix theory, described judgment matrix carried out consistency check, and adjust according to assay described
Judgment matrix.
Preferred, according to described three-stage fuzzy logic model to agricultural to be evaluated in step S3 as the present embodiment
Being evaluated of scientific and technological achievement, can farther include:
S31: obtain the expert of described agricultural science and technology achievement art to be evaluated to described agricultural science and technology to be evaluated
The relative importance evaluation result of influence factor's indexs at different levels of achievement and in described agricultural science and technology achievement to be evaluated
The evaluation result of influence factor's indexs at different levels；
S32: pass judgment on knot according to the relative importance of influence factor's indexs at different levels of described agricultural science and technology achievement to be evaluated
Really and the evaluation result of the influence factor's indexs at different levels in described agricultural science and technology achievement to be evaluated is called described three grades of moulds
Stick with paste comprehensive evaluation model and described agricultural science and technology achievement to be evaluated is carried out level of aggregation evaluation.
The agricultural science and technology achievement level evaluation method of the present embodiment, builds based on Hierarchy Analysis Method and evaluates agricultural science and technology one-tenth
The really three-stage fuzzy logic model of level, can realize being suitable for the overall merit of the agricultural science and technology achievement level of China's national situation,
And the reliability of the three-stage fuzzy logic model of foundation is further ensure that by consistency check method, can be more preferable
Promotion Transformation of Agricultural Sci-Tech Achievements is actual productivity, accelerates agricultural cience and farming techniques progress, and then promotes economic construction and society
Development.
Fig. 3 is the structural representation of the agricultural science and technology achievement assessment of levels device of one embodiment of the invention；Such as Fig. 3 institute
Showing, this device includes that index system determines unit 10, evaluation model construction unit 20 and assessment of results unit 30；Wherein:
Index system determine unit 10 for determining multiple influence factor's indexs of agricultural science and technology achievement level, and to described
Multiple influence factor's indexs carry out three grades of divisions, to set up for assessing the three of agricultural science and technology achievement level according to the result divided
Level index system；
Evaluation model construction unit 20 is for determining impacts at different levels in described three grades of index systems by Hierarchy Analysis Method
The weight of factor index, and three grades of evaluation agricultural science and technology achievement level are built according to the weight of described influence factor's indexs at different levels
Model of fuzzy synthetic evaluation；
Assessment of results unit 30 is used for according to described three-stage fuzzy logic model agricultural science and technology achievement to be evaluated
Be evaluated, and return evaluation result.
Device described in the present embodiment may be used for performing said method embodiment, and its principle is similar with technique effect, this
Place repeats no more.
Preferred as the present embodiment, index system determines that unit 10 can be further used for:
Set up 3 first order impact factor indexs: technical index, benefit index, marketability index；
At least one in following Secondary influence factors index is set up under described technical index: technical merit index,
Technical risk index；
At least one in following Secondary influence factors index is set up under described benefit index: economic benefits indicator,
Eco-efficiency index, social benefit index；
At least one in following Secondary influence factors index is set up under described marketability index: market environment index,
Market risk index；
At least one in following three grades of influence factor's indexs is set up: technological innovation refers under described technical merit index
It is complete that mark, technical advance index, technical difficulty and complexity index, technology maturity and reliability index, technology describe
Standby property index, the suitability index of technology, intellectual property state index, technical standard grading index, supporting technology provide ability
Index, technology redevelopment potentiality index；
At least one in following three grades of influence factor's indexs is set up: technical life risk under described technical risk index
Index, technical staff's availability risk indicator, the counterfeit risk indicator of technology；
At least one in following three grades of influence factor's indexs is set up: one-time investment amount under described economic benefits indicator
Index, the follow-up investment indicator of costs, profit ratio of cost index, index payoff period；
At least one in following three grades of influence factor's indexs is set up: environmental pollution refers under described eco-efficiency index
Mark, utilization of resources index, improvement of environment index；
At least one in following three grades of influence factor's indexs is set up: to decision-making management under described social benefit index
Effect index, mental attitude index of improving, the post index that creates more jobs, industry drive effectiveness indicator, index of optimizing the structure of production；
At least one in following three grades of influence factor's indexs is set up: the market demand refers under described market environment index
Mark, market acceptance index, policy support level index, promotion prospect index；
At least one in following three grades of influence factor's indexs is set up: market demand risk under described market risk index
Index, market competition risk.
Preferred as the present embodiment, evaluation model construction unit 20 can be further used for:
The comment that every grade of sub-factor is corresponding concentrated by the factor of evaluation collection that foundation comprises three grades of sub-factors with described factor of evaluation
Collection；
The expert according to the association area relative importance to the influence factor's indexs at different levels in described three grades of index systems
Evaluation result and the evaluation result structure fuzzy judgment matrix to described influence factor's indexs at different levels；
The weight vectors of influence factor's indexs at different levels in described three grades of index systems is determined by analytic hierarchy process (AHP)；
Weight vectors according to described fuzzy judgment matrix and described influence factor's index at different levels is by described three grades of index bodies
Third level influence factor's mark sense first order influence factor's index in system carries out Comprehensive Fuzzy Evaluation step by step, to combine according to described
The result closing fuzzy evaluation builds the three-stage fuzzy logic model evaluating agricultural science and technology achievement level.
Fig. 4 is the structural representation of the agricultural science and technology achievement assessment of levels device of another embodiment of the present invention.Such as Fig. 4 institute
Showing, on the basis of a upper embodiment, this device may also include that
Consistency check unit 40, for according to matrix theory described judgment matrix being carried out consistency check, and according to
Assay adjusts described judgment matrix.
Preferred as the present embodiment, assessment of results unit 30 can be further used for:
Obtain the expert of described agricultural science and technology achievement art to be evaluated to described agricultural science and technology achievement to be evaluated
The relative importance evaluation result of influence factor's indexs at different levels and at different levels in described agricultural science and technology achievement to be evaluated
The evaluation result of influence factor's index；
The relative importance evaluation result of the influence factor's indexs at different levels according to described agricultural science and technology achievement to be evaluated with
And the evaluation result of the influence factor's indexs at different levels in described agricultural science and technology achievement to be evaluated called described three grades fuzzy combine
Close evaluation model and described agricultural science and technology achievement to be evaluated is carried out level of aggregation evaluation.
Device described in the present embodiment may be used for performing said method embodiment, and its principle is similar with technique effect, this
Place repeats no more.
Principle and the reality of the agricultural science and technology achievement level evaluation method of the present invention are described with a specific embodiment below
Existing process, but do not limit protection scope of the present invention.
1, the foundation of three grades of index systems
Agricultural science and technology achievement value index is the important foundation to Transformation of Agricultural Sci-Tech Achievements and foundation, is by a series of
Science, complete, the data target of system reflect, very big to reliability, the availability influence of evaluation result.With reference to including the Department of Science and Technology
" scientific and technological achievement assessment pilot Tentative Measures " (2009), Department of Science and Technology " sci tech evaluation way (trying) " (2003), " agricultural section
The assessment of result way that learns a skill (trying) " (1988) and domestic and international pertinent literature, formulate agricultural science and technology achievement value assessment 3
Level base values system, as shown in the table.
Table one
Note: in upper table, Ii represents i-th first class index, i=1,2,3；Iij represents the jth under i-th first class index
Individual two-level index, i=1,2,3, j=1,2,3；Pt represents t three grades of indexs, t=1,2 ..., 31.
4.2 analytic hierarchy process (AHP)s and three grades of fuzzy evaluation models combined
The first step, sets up factor of evaluation collection and Comment gathers.Set of factors U is defined as by this research:
U={u1,u2,…,ui,…,un} (1)
If the u in set of factorsiThere is sub-factor, then may be defined as:
ui={ ui1,ui2,…,uij,…,uim} (2)
In like manner, if uijStill have sub-factor then the like.
Wherein
uiI-th one-level factor of evaluation correspondence i-th one-level evaluation index, i=1,2 ..., n；
uijJth two-level appraisement index under i-th one-level factor of evaluation factor, j=1,2 ..., m.
Under same evaluation index, the corresponding Comment gathers V of each set of factors, defined in this research be:
V={ is excellent, good, typically, poor, poor } (3)
Second step, builds fuzzy judgment matrix and determines factor weight.According to value assessment index system, design specialist anticipates
See application form, invite domain expert that the relative importance of index is given a mark, Judgement Matricies R
Wherein rijUnder same high-level index, the secondary first class index i significance level relative to secondary first class index j, i=1,
2 ..., n, j=1,2 ..., m.Then, analytic hierarchy process (AHP) is utilized to determine the weight vectors W of index at different levels.In order to ensure result
Concordance, carries out consistency check according to matrix theory to judgment matrix, when inequality CR=CI/RI ＜ 0.1 sets up, then sentences
Disconnected matrix has good consistency condition, otherwise needs to adjust judgment matrix, wherein
CR=(λmax-n)/(n-1) (5)
In formula
λmaxThe Maximum characteristic root of judgment matrix；
The exponent number of n judgment matrix；
RI is the mean random concordance value corresponding with n.
3rd step, Comprehensive Fuzzy Evaluation.Evaluate from the beginning of on third layer mark sense successively, third layer index uijkTo comment
V in collection VtDegree of membership be:
Wherein zijk—uijkAt vtNumber；
N participates in the expert's sum evaluated.
Then, the Comprehensive Fuzzy Evaluation of this layer is:
Aij=Wij×[δijk]n×n (8)
Wherein
Under the same two-level index of n, the number of three grades of indexs；
WijTwo-level index uijWeight vectors；
[δijk]n×nThree grades of layer indexs uijkTo v in Comment gathers VtSubordinated-degree matrix, wherein,
T=1,2 ..., 5.
The fuzzy overall evaluation of two-level index is expressed as: Ai=Wi×[δij]m×m
Wherein
Under the same first class index of m, the number of two-level index；
WiFirst class index uiWeight vectors；
[δij]m×mTwo grades of layer indexs uijTo v in Comment gathers VtSubordinated-degree matrix, t=1,2 ..., 5.
In like manner, the fuzzy evaluation of disconnected first class index is A=W × [δi]3×3
Wherein
The number of m first class index；
The weight vectors of W destination layer U；
[δi]3×3One-level layer index uiTo v in Comment gathers VtSubordinated-degree matrix, t=1,2 ..., 5.
The agricultural science and technology achievement level evaluation method of the present embodiment to realize step as follows:
The first step, in order to ensure the effectiveness evaluated with avoid the waste of manpower and materials, the achievement owner need to be based on to be evaluated
The agricultural science and technology achievement of valency is registered by management system, and proposes to evaluate trust to management system, submits this achievement to simultaneously
Ownership issue, technical field, the achievement associated materials such as achievement brief introduction；
Second step, after through management, system audit passes through, the achievement owner needs to submit to further the detailed skill of this achievement
Art document；
3rd step, based on agricultural science and technology achievement level of aggregation assessment indicator system the most stored in management system, according to
The field that this agricultural science and technology achievement relates to, for its distributive judgement expert, with to each in this achievement level of aggregation assessment indicator system
The relative importance of index is passed judgment on；
The indices of achievement is given a mark by the material that the 4th step, expert provide according to achievement holder；
5th step, marking according to expert in its authority, the three-stage fuzzy logic embedded in calling system
Model, directly automatically carries out level of aggregation evaluation and result is exported this achievement, holds so that result is presented to achievement
The person of having.
Above example is merely to illustrate technical scheme, is not intended to limit；Although with reference to previous embodiment
The present invention is described in detail, it will be understood by those within the art that: it still can be to aforementioned each enforcement
Technical scheme described in example is modified, or wherein portion of techniques feature is carried out equivalent；And these are revised or replace
Change, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
1. an agricultural science and technology achievement level evaluation method, it is characterised in that including:
Determine multiple influence factor's indexs of agricultural science and technology achievement level, and the plurality of influence factor's index is carried out three grades strokes
Point, to set up three grades of index systems for assessing agricultural science and technology achievement level according to the result divided；
Determine the weight of influence factor's indexs at different levels in described three grades of index systems by Hierarchy Analysis Method, and according to described respectively
The weight of level influence factor's index builds the three-stage fuzzy logic model evaluating agricultural science and technology achievement level；
According to described three-stage fuzzy logic model being evaluated agricultural science and technology achievement to be evaluated, and return evaluation knot
Really.
Method the most according to claim 1, it is characterised in that described determine agricultural science and technology achievement level multiple affect because of
Element index, and the plurality of influence factor's index is carried out three grades of divisions, including:
Set up 3 first order impact factor indexs: technical index, benefit index, marketability index；
At least one in following Secondary influence factors index is set up: technical merit index, technology under described technical index
Risk indicator；
At least one in following Secondary influence factors index is set up: economic benefits indicator, ecology under described benefit index
Performance indicator, social benefit index；
At least one in following Secondary influence factors index is set up: market environment index, market under described marketability index
Risk indicator；
At least one in following three grades of influence factor's indexs is set up under described technical merit index: technological innovation index,
The completeness that technical advance index, technical difficulty and complexity index, technology maturity and reliability index, technology describe
Index, the suitability index of technology, intellectual property state index, technical standard grading index, supporting technology offer capacity index,
Technology redevelopment potentiality index；
At least one in following three grades of influence factor's indexs is set up: technical life risk refers under described technical risk index
Mark, technical staff's availability risk indicator, the counterfeit risk indicator of technology；
At least one in following three grades of influence factor's indexs is set up: one-time investment amount refers under described economic benefits indicator
Mark, the follow-up investment indicator of costs, profit ratio of cost index, index payoff period；
At least one in following three grades of influence factor's indexs is set up: environmental pollution index, money under described eco-efficiency index
Source utilizes index, improvement of environment index；
At least one in following three grades of influence factor's indexs is set up: to decision-making managerial role under described social benefit index
Index, mental attitude index of improving, the post index that creates more jobs, industry drive effectiveness indicator, index of optimizing the structure of production；
At least one in following three grades of influence factor's indexs is set up: market demand index, city under described market environment index
Field acceptance index, policy support level index, promotion prospect index；
At least one in following three grades of influence factor's indexs is set up: market demand risk refers under described market risk index
Mark, market competition risk.
Method the most according to claim 1, it is characterised in that described determine described three grades of indexs by Hierarchy Analysis Method
The weight of influence factor's indexs at different levels in system, and build evaluation agricultural science and technology according to the weight of described influence factor's indexs at different levels
The three-stage fuzzy logic model of achievement level, including:
The Comment gathers that every grade of sub-factor is corresponding concentrated by the factor of evaluation collection that foundation comprises three grades of sub-factors with described factor of evaluation；
The relative importance of the influence factor's indexs at different levels in described three grades of index systems is passed judgment on by the expert according to association area
Result and the evaluation result structure fuzzy judgment matrix to described influence factor's indexs at different levels；
The weight vectors of influence factor's indexs at different levels in described three grades of index systems is determined by analytic hierarchy process (AHP)；
Weight vectors according to described fuzzy judgment matrix and described influence factor's index at different levels is by described three grades of index systems
Third level influence factor's mark sense first order influence factor's index carry out Comprehensive Fuzzy Evaluation step by step, with according to described comprehensive mould
Stick with paste the result evaluated and build the three-stage fuzzy logic model evaluating agricultural science and technology achievement level.
Method the most according to claim 3, it is characterised in that described determine described three grades of index bodies by analytic hierarchy process (AHP)
After the weight vectors of the influence factor's indexs at different levels in system, described method also includes:
According to matrix theory, described judgment matrix carried out consistency check, and adjust described judgment matrix according to assay.
Method the most according to claim 1, it is characterised in that described treat according to described three-stage fuzzy logic model
Being evaluated of the agricultural science and technology achievement evaluated, including:
Obtain each to described agricultural science and technology achievement to be evaluated of the expert of described agricultural science and technology achievement art to be evaluated
Level influence factor's index relative importance evaluation result and on the impacts at different levels in described agricultural science and technology achievement to be evaluated
The evaluation result of factor index；
The relative importance evaluation result of the influence factor's indexs at different levels according to described agricultural science and technology achievement to be evaluated and right
The evaluation result of the influence factor's indexs at different levels in described agricultural science and technology achievement to be evaluated is called described three grades of fuzzy synthesis and is commented
Valency model carries out level of aggregation evaluation to described agricultural science and technology achievement to be evaluated.
6. an agricultural science and technology achievement assessment of levels device, it is characterised in that including:
Index system determines unit, for determining multiple influence factor's indexs of agricultural science and technology achievement level, and to the plurality of
Influence factor's index carries out three grades of divisions, to refer to for three grades that assess agricultural science and technology achievement level according to the result foundation divided
Mark system；
By Hierarchy Analysis Method, evaluation model construction unit, for determining that in described three grades of index systems, influence factors at different levels refer to
Target weight, and build according to the weight of described influence factor's indexs at different levels and evaluate that three grades of agricultural science and technology achievement level are fuzzy to be combined
Close evaluation model；
Assessment of results unit, for according to the described three-stage fuzzy logic model the carrying out to agricultural science and technology achievement to be evaluated
Evaluate, and return evaluation result.
Device the most according to claim 6, it is characterised in that described index system determines unit, is further used for:
Set up 3 first order impact factor indexs: technical index, benefit index, marketability index；
At least one in following Secondary influence factors index is set up: technical merit index, technology under described technical index
Risk indicator；
At least one in following Secondary influence factors index is set up: economic benefits indicator, ecology under described benefit index
Performance indicator, social benefit index；
At least one in following Secondary influence factors index is set up: market environment index, market under described marketability index
Risk indicator；
At least one in following three grades of influence factor's indexs is set up under described technical merit index: technological innovation index,
The completeness that technical advance index, technical difficulty and complexity index, technology maturity and reliability index, technology describe
Index, the suitability index of technology, intellectual property state index, technical standard grading index, supporting technology offer capacity index,
Technology redevelopment potentiality index；
At least one in following three grades of influence factor's indexs is set up: technical life risk refers under described technical risk index
Mark, technical staff's availability risk indicator, the counterfeit risk indicator of technology；
At least one in following three grades of influence factor's indexs is set up: one-time investment amount refers under described economic benefits indicator
Mark, the follow-up investment indicator of costs, profit ratio of cost index, index payoff period；
At least one in following three grades of influence factor's indexs is set up: environmental pollution index, money under described eco-efficiency index
Source utilizes index, improvement of environment index；
At least one in following three grades of influence factor's indexs is set up: to decision-making managerial role under described social benefit index
Index, mental attitude index of improving, the post index that creates more jobs, industry drive effectiveness indicator, index of optimizing the structure of production；
At least one in following three grades of influence factor's indexs is set up: market demand index, city under described market environment index
Field acceptance index, policy support level index, promotion prospect index；
At least one in following three grades of influence factor's indexs is set up: market demand risk refers under described market risk index
Mark, market competition risk.
Device the most according to claim 6, it is characterised in that described evaluation model construction unit, is further used for:
The Comment gathers that every grade of sub-factor is corresponding concentrated by the factor of evaluation collection that foundation comprises three grades of sub-factors with described factor of evaluation；
The relative importance of the influence factor's indexs at different levels in described three grades of index systems is passed judgment on by the expert according to association area
Result and the evaluation result structure fuzzy judgment matrix to described influence factor's indexs at different levels；
The weight vectors of influence factor's indexs at different levels in described three grades of index systems is determined by analytic hierarchy process (AHP)；
Weight vectors according to described fuzzy judgment matrix and described influence factor's index at different levels is by described three grades of index systems
Third level influence factor's mark sense first order influence factor's index carry out Comprehensive Fuzzy Evaluation step by step, with according to described comprehensive mould
Stick with paste the result evaluated and build the three-stage fuzzy logic model evaluating agricultural science and technology achievement level.
Device the most according to claim 8, it is characterised in that described device also includes:
Consistency check unit, for carrying out consistency check according to matrix theory, and according to inspection knot to described judgment matrix
Fruit adjusts described judgment matrix.
Device the most according to claim 6, it is characterised in that described assessment of results unit, is further used for:
Obtain each to described agricultural science and technology achievement to be evaluated of the expert of described agricultural science and technology achievement art to be evaluated
Level influence factor's index relative importance evaluation result and on the impacts at different levels in described agricultural science and technology achievement to be evaluated
The evaluation result of factor index；
The relative importance evaluation result of the influence factor's indexs at different levels according to described agricultural science and technology achievement to be evaluated and right
The evaluation result of the influence factor's indexs at different levels in described agricultural science and technology achievement to be evaluated is called described three grades of fuzzy synthesis and is commented
Valency model carries out level of aggregation evaluation to described agricultural science and technology achievement to be evaluated.
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| CN110189028A (en) * | 2019-05-31 | 2019-08-30 | 重庆市科学技术研究院 | Scientific and technological achievement degree of innovation evaluation system |
| CN110750572A (en) * | 2018-12-06 | 2020-02-04 | 国网河北省电力有限公司经济技术研究院 | Adaptive method and device for heuristic evaluation of scientific and technological achievements |
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| CN110750572A (en) * | 2018-12-06 | 2020-02-04 | 国网河北省电力有限公司经济技术研究院 | Adaptive method and device for heuristic evaluation of scientific and technological achievements |
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