CN112330154A - Scientific and technological project achievement transformation evaluation method and device based on AHP and gray clustering - Google Patents
Scientific and technological project achievement transformation evaluation method and device based on AHP and gray clustering Download PDFInfo
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Abstract
The invention relates to the technical field of data analysis, and discloses a scientific and technological project achievement transformation evaluation method and device based on AHP and gray clustering, wherein the method comprises the following steps: constructing a scientific and technological project achievement conversion evaluation model; determining the weight value of each index in the scientific and technological project achievement conversion evaluation model based on AHP; acquiring the clustering category of the scientific and technological project to be evaluated based on a gray clustering method and a weight value; and obtaining an evaluation report of the scientific and technological project to be evaluated according to the cluster category. The scientific and technological project achievement transformation evaluation method and device based on the AHP and the gray clustering can improve accuracy and objectivity of an evaluation report of a scientific and technological project during achievement transformation.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a scientific and technological project achievement conversion evaluation method and device based on AHP (Analytic Hierarchy Process) and gray clustering.
Background
The achievement transformation and evaluation work of scientific and technological projects is an important link related to the effective landing of scientific and technological innovation strategies, and plays an important role in the aspects of guiding scientific research and market combination, improving scientific and technological management decision level, optimizing resource allocation and the like.
The achievement transformation evaluation of scientific and technological projects is quite complex work, factors needing to be considered during evaluation are complex and intricate, and the existing commonly used achievement transformation evaluation method is a peer expert review method, and the evaluation method introduces subjective factors of experts during evaluation, so that a final evaluation report is not objective and accurate.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is as follows: the scientific and technological project achievement transformation evaluation method and device based on the AHP and the gray clustering are provided, and accuracy and objectivity of evaluation reports of scientific and technological projects in achievement transformation are improved.
In order to solve the above technical problem, in a first aspect, an embodiment of the present invention provides a method for evaluating conversion of scientific and technological project achievements based on AHP and gray clustering, where the method includes:
constructing a scientific and technological project achievement conversion evaluation model;
determining the weight value of each index in the scientific and technological project achievement conversion evaluation model based on AHP;
acquiring the clustering category of the scientific and technological project to be evaluated based on a gray clustering method and a weight value;
and acquiring a result conversion evaluation report of the scientific and technological project to be evaluated according to the cluster category.
As a preferred scheme, the determining the weight value of each index in the scientific and technological project achievement transformation and evaluation model based on the AHP specifically includes:
carrying out structural analysis on the scientific and technological project achievement conversion to construct a hierarchical structure;
according to the hierarchical structure, pairwise comparison is carried out between the indexes, the relative quality sequence of the indexes is arranged according to the 9-division ratio, and a judgment matrix is constructed in sequence;
carrying out consistency check on the judgment matrix;
and when the judgment matrix passes consistency check, acquiring the maximum characteristic root and the corresponding characteristic vector of the judgment matrix, and normalizing the characteristic vector to obtain the weight value of each index.
As a preferred scheme, the performing consistency check on the judgment matrix specifically includes:
calculating a consistency index;
calculating a random consistency ratio according to the consistency index;
and when the random consistency ratio is smaller than a first threshold value, judging that the judgment matrix passes consistency check, otherwise, judging that the judgment matrix does not pass consistency check.
As a preferred scheme, the obtaining of the cluster category of the scientific and technological item to be evaluated based on the gray clustering method and the weight value specifically includes:
determining a gray cluster set and a value interval of each gray cluster;
constructing a whitening weight function of each gray cluster according to the value interval of each gray cluster;
acquiring a clustering coefficient value of each gray cluster according to the whitening weight function and the weight value;
and obtaining the cluster category according to the cluster coefficient value of each gray cluster.
As a preferable scheme, the scientific and technological project achievement transformation and evaluation model comprises a technical analysis system, a comprehensive benefit analysis system, a research foundation analysis system and a research investment analysis system.
As a preferred scheme, the technical analysis system comprises a technical route feasibility analysis module, a technical innovation degree analysis module, a technical parameter lead analysis module, a technical reliability analysis module and a technical adaptability analysis module.
As a preferred scheme, the comprehensive benefit analysis system comprises a social benefit analysis module, an economic benefit analysis module and an intellectual property benefit analysis module.
As a preferable scheme, the research foundation analysis system comprises a theoretical method scientific analysis module, a theoretical method advanced analysis module, a research facility analysis module and a research team analysis module.
Preferably, the research investment analysis system comprises a research progress analysis module and an expense demand analysis module.
In order to solve the above technical problem, in a second aspect, an embodiment of the present invention provides a scientific and technological project achievement transformation and evaluation apparatus based on AHP and gray clustering, where the apparatus includes:
the model construction unit is used for constructing a scientific and technological project achievement conversion evaluation model;
the weight calculation unit is used for determining the weight value of each index in the scientific and technological project achievement conversion evaluation model based on AHP;
the category acquisition unit is used for acquiring the clustering category of the scientific and technological project to be evaluated based on a gray clustering method and a weight value;
and the evaluation unit is used for acquiring a result conversion evaluation report of the scientific and technological project to be evaluated according to the cluster type.
Compared with the prior art, the scientific and technological project achievement transformation evaluation method and device based on AHP and gray clustering provided by the embodiment of the invention have the beneficial effects that: the achievement conversion evaluation of the scientific and technological project can be quantitatively analyzed, the influence of artificial subjective factors is reduced, and the accuracy and the objectivity of the evaluation report of the scientific and technological project at the time of establishment are improved; the scientific and technological project achievement transformation and evaluation model comprises a technical analysis system, a comprehensive benefit analysis system, a research foundation analysis system and a research investment analysis system, each analysis system comprises a plurality of indexes, all factors influencing scientific and technological project achievement transformation are comprehensively considered, and accuracy of an evaluation report is further improved.
Drawings
In order to more clearly illustrate the technical features of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is apparent that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on the drawings without inventive labor.
FIG. 1 is a schematic flow chart of a preferred embodiment of a scientific and technological project achievement transformation evaluation method based on AHP and gray clustering according to the present invention;
FIG. 2 is a schematic structural diagram of a preferred embodiment of a conversion and evaluation model of scientific and technological project achievements provided by the present invention;
fig. 3 is a schematic structural diagram of a preferred embodiment of a scientific and technological project achievement transformation evaluation device based on AHP and gray clustering provided by the present invention.
Fig. 4 is a schematic structural diagram of a preferred embodiment of a terminal device provided by the present invention.
Detailed Description
In order to clearly understand the technical features, objects and effects of the present invention, the following detailed description of the embodiments of the present invention is provided with reference to the accompanying drawings and examples. The following examples are intended to illustrate the invention, but are not intended to limit the scope of the invention. Other embodiments, which can be derived by those skilled in the art from the embodiments of the present invention without inventive step, shall fall within the scope of the present invention.
In the description of the present invention, it should be understood that the numbers themselves, such as "first", "second", etc., are used only for distinguishing the described objects, do not have a sequential or technical meaning, and cannot be understood as defining or implying the importance of the described objects.
Fig. 1 is a schematic flow chart of a preferred embodiment of a scientific and technological project achievement transformation evaluation method based on AHP and gray clustering according to the present invention.
As shown in fig. 1, the method includes:
s11: constructing a scientific and technological project achievement conversion evaluation model;
s12: determining the weight value of each index in the scientific and technological project achievement conversion evaluation model based on AHP;
s13: acquiring the clustering category of the scientific and technological project to be evaluated based on a gray clustering method and a weight value;
s14: and acquiring a result conversion evaluation report of the scientific and technological project to be evaluated according to the cluster category.
Specifically, firstly, a scientific and technological project achievement conversion evaluation model is constructed, the weight value of each index in the scientific and technological project achievement conversion evaluation model is determined based on AHP, then data of a scientific and technological project to be evaluated is obtained, a clustering category of the scientific and technological project to be evaluated is obtained based on a gray clustering method and the weight value, and finally an evaluation report of the scientific and technological project is obtained according to the clustering category.
The scientific and technological project achievement transformation evaluation method based on the AHP and the gray clustering provided by the embodiment of the invention can carry out quantitative analysis on the achievement transformation evaluation of the scientific and technological project, reduce the influence of artificial subjective factors, and improve the accuracy and objectivity of evaluation reports of the scientific and technological project during achievement transformation.
In a preferred embodiment, the determining, based on the AHP, the weight value of each index in the scientific and technological project achievement transformation and evaluation model specifically includes:
s121: carrying out structural analysis on the scientific and technological project achievement conversion to construct a hierarchical structure;
s122: according to the hierarchical structure, pairwise comparison is carried out between the indexes, the relative quality sequence of the indexes is arranged according to the 9-division ratio, and a judgment matrix is constructed in sequence;
s123: carrying out consistency check on the judgment matrix;
s124: and when the judgment matrix passes consistency check, acquiring the maximum characteristic root and the corresponding characteristic vector of the judgment matrix, and normalizing the characteristic vector to obtain the weight value of each index.
Specifically, a hierarchical structure for conversion of scientific and technological project achievements is constructed, two indexes are compared with each other by questionnaire according to expert scoring conditions, relative quality sequences of the indexes are arranged according to a 9-position ratio, and a judgment matrix is constructed in sequence.
And then, carrying out consistency check on the judgment matrix, wherein the consistency check comprises the following specific steps:
s1231: calculating a consistency index; wherein, the calculation formula of the consistency index is as follows:
Ci＝λmax-n/(n-1)；
in the formula, CiAs said conformity indicator, λmaxAnd n is the order of the judgment matrix.
S1232: calculating a random consistency ratio according to the consistency index; wherein the random consistency ratio is calculated by the following formula:
Cr＝Ci/Ri；
in the formula, CrAs the random consistency ratio, CiAs the index of consistency, RiIs an average random consistency index.
S1233: and when the random consistency ratio is smaller than a first threshold value, judging that the judgment matrix passes consistency check, otherwise, judging that the judgment matrix does not pass consistency check.
Wherein the first threshold is 0.1.
Specifically, when CrWhen the weight is less than 0.1, consistency test shows that the final weight obtained according to the judgment matrix is reasonable. If the consistency check fails, namely C is not satisfiedrIf the phenomenon is less than 0.1, the judgment matrix is modifiedUntil the requirements are met. And finally, obtaining the weight values of all levels of indexes through the calculation.
In a preferred embodiment, the obtaining a cluster category of a scientific and technological item to be evaluated based on a gray clustering method and a weight value specifically includes:
s131: determining a gray cluster set and a value interval of each gray cluster;
specifically, first, a gray cluster set and a value range of each gray cluster are determined, and for example, the gray clusters are classified into four categories, i.e., "good", "medium", and "bad". And obtaining the value range of each gray cluster, for example, at [50, 100 ]]In the method, points which are most likely to belong to 'excellent', 'good', 'medium', 'poor', are selected in sequence, and lambda is190 (excellent), λ280 (good), λ370 (middle), λ460 (difference).
S132: constructing a whitening weight function of each gray cluster according to the value interval of each gray cluster;
the whitening weight function for each gray cluster is then constructed. In this embodiment, the whitening weight functions of the four gray clusters of "excellent", "good", "medium", and "poor" are the same for each index, and the gray clusters are extended to different directions to obtain "better" and "worse", and the whitening weight functions of the gray clusters are respectively as follows:
whitening weight function for "worse" category:
whitening weight function for "poor" category:
whitening weight function of "good" category:
whitening weight function for "medium" category:
whitening weight function of "excellent" category:
whitening weight function of "better" category:
s133: acquiring a clustering coefficient value of each gray cluster according to the whitening weight function and the weight value;
then, calculating a clustering coefficient value according to the weight value obtained based on the AHP and the whitening weight function, wherein the calculation formula of the clustering coefficient value is as follows:
in the formula (I), the compound is shown in the specification,
is the n (n)>0) The science and technology items to be evaluated are in a clustering category e (e belongs to [1,6 ]]) Value of cluster coefficient of (d), wiIs the ith (e epsilon [1, m)]) The weight value of each index is calculated,
the value of the clustering coefficient of the ith index of the nth science and technology item to be evaluated in the clustering class e.
S134: and obtaining the cluster category according to the cluster coefficient value of each gray cluster.
Obtaining the clustering coefficient value of each gray cluster, and selecting the maximum value sigma'nI.e. by
Find the maximum value σ'nThe gray cluster is the cluster category.
In a preferred embodiment, as shown in fig. 2, the scientific and technological project achievement transformation and evaluation model includes a technical analysis system, a comprehensive benefit analysis system, a research base analysis system, and a research investment analysis system.
Further, the technical analysis system comprises a technical route feasibility analysis module, a technical innovation degree analysis module, a technical parameter lead analysis module, a technical reliability analysis module and a technical adaptability analysis module.
Furthermore, the comprehensive benefit analysis system comprises a social benefit analysis module, an economic benefit analysis module and an intellectual property benefit analysis module.
Further, the research foundation analysis system comprises a theoretical method scientific analysis module, a theoretical method advanced analysis module, a research facility analysis module and a research team analysis module.
Further, the research investment analysis system comprises a research progress analysis module and an expense demand analysis module.
The scientific and technological project achievement transformation and evaluation model comprises a technical analysis system, a comprehensive benefit analysis system, a research foundation analysis system and a research investment analysis system, wherein the technical analysis system comprises a technical route feasibility analysis module, a technical innovation degree analysis module, a technical parameter lead analysis module, a technical reliability analysis module and a technical adaptability analysis module, the comprehensive benefit analysis system comprises a social benefit analysis module, an economic benefit analysis module and an intellectual property benefit analysis module, the research foundation analysis system comprises a theoretical method scientific analysis module, a theoretical method advance analysis module, a research facility analysis module and a research team analysis module, the research investment analysis system comprises a research progress analysis module and a expenditure demand analysis module, and comprises all aspects influencing the scientific and technological project achievement transformation, the accuracy of the evaluation report is further improved.
In a preferred embodiment, the assessment report includes an assessment result; wherein, the evaluation result comprises excellent result conversion, good result conversion and general result conversion.
Wherein the evaluation result corresponds to the cluster category. For example, when the cluster category is "better" or "excellent", the evaluation result is that the achievement conversion is excellent; when the clustering categories are 'good' and 'medium', the evaluation result is that the achievement transformation is good; when the cluster category is "poor" or "worse", the evaluation result is that the achievement transformation is general.
In summary, according to the scientific and technological project achievement transformation evaluation method based on AHP and gray clustering provided by the embodiment of the present invention, the weighted value of each index in the scientific and technological project achievement transformation evaluation model is determined based on AHP, then the clustering category of the scientific and technological project to be evaluated is obtained based on the gray clustering method and the weighted value, and finally the evaluation report of the scientific and technological project to be evaluated is obtained according to the clustering category, so that quantitative analysis can be performed on achievement transformation of the scientific and technological project, the influence of artificial subjective factors is reduced, and the accuracy and objectivity of the evaluation report of the scientific and technological project during achievement transformation are improved; the scientific and technological project achievement transformation and evaluation model comprises a technical analysis system, a comprehensive benefit analysis system, a research foundation analysis system and a research investment analysis system, each analysis system comprises a plurality of indexes including various aspects influencing scientific and technological project achievement transformation, and accuracy of an evaluation report is further improved.
It should be understood that all or part of the processes of the method for evaluating the conversion of the achievements of the scientific and technological project based on the AHP and the gray cluster may be implemented by a computer program, which may be stored in a computer readable storage medium and executed by a processor, and the steps of the method for evaluating the conversion of the achievements of the scientific and technological project based on the AHP and the gray cluster may be implemented by the computer program. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, in accordance with legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunications signals.
Fig. 3 is a schematic structural diagram of a preferred embodiment of the apparatus for evaluating conversion of scientific and technological project achievements based on AHP and gray clustering according to the present invention, which can implement all the processes of the method for evaluating conversion of scientific and technological project achievements based on AHP and gray clustering according to any of the embodiments.
As shown in fig. 3, the apparatus includes:
the model construction unit is used for constructing a scientific and technological project achievement conversion evaluation model;
the weight calculation unit is used for determining the weight value of each index in the scientific and technological project achievement conversion evaluation model based on AHP;
the category acquisition unit is used for acquiring the clustering category of the scientific and technological project to be evaluated based on a gray clustering method and a weight value;
and the evaluation unit is used for acquiring a result conversion evaluation report of the scientific and technological project to be evaluated according to the cluster type.
Preferably, the weight calculating unit specifically includes:
the structure construction subunit is used for carrying out structural analysis on the scientific and technological project result conversion to construct a hierarchical structure;
the matrix construction subunit is used for comparing each index pairwise according to the hierarchical structure, scheduling the relative quality sequence of each index according to the 9-division ratio and constructing a judgment matrix in sequence;
the consistency check subunit is used for carrying out consistency check on the judgment matrix;
and the weight calculating subunit is used for acquiring the maximum characteristic root and the corresponding characteristic vector of the judgment matrix after the judgment matrix passes the consistency test, and normalizing the characteristic vector to obtain the weight value of each index.
Preferably, the consistency check subunit is specifically configured to perform the following steps:
s1231: calculating a consistency index; wherein, the calculation formula of the consistency index is as follows:
Ci＝λmax-n/(n-1)；
in the formula, CiAs said conformity indicator, λmaxAnd n is the order of the judgment matrix.
S1232: calculating a random consistency ratio according to the consistency index; wherein the random consistency ratio is calculated by the following formula:
Cr＝Ci/Ri；
in the formula, CrAs the random consistency ratio, CiAs the index of consistency, RiIs an average random consistency index.
S1233: and when the random consistency ratio is smaller than a first threshold value, judging that the judgment matrix passes consistency check, otherwise, judging that the judgment matrix does not pass consistency check.
Wherein the first threshold is 0.1.
Preferably, the category acquiring unit specifically includes:
the first determining subunit is used for determining the gray cluster set and the value interval of each gray cluster;
a whitening weight function constructing subunit, configured to construct a whitening weight function of each gray cluster according to the value interval of each gray cluster;
the clustering coefficient value calculating operator unit is used for acquiring the clustering coefficient value of each gray cluster according to the whitening weight function and the weight value;
and the cluster type obtaining subunit is used for obtaining the cluster type according to the cluster coefficient value of each gray cluster.
Preferably, the scientific and technological project achievement transformation and evaluation model comprises a technical analysis system, a comprehensive benefit analysis system, a research foundation analysis system and a research investment analysis system.
Further, the technical analysis system comprises a technical route feasibility analysis module, a technical innovation degree analysis module, a technical parameter lead analysis module, a technical reliability analysis module and a technical adaptability analysis module.
Furthermore, the comprehensive benefit analysis system comprises a social benefit analysis module, an economic benefit analysis module and an intellectual property benefit analysis module.
Further, the research foundation analysis system comprises a theoretical method scientific analysis module, a theoretical method advanced analysis module, a research facility analysis module and a research team analysis module.
Further, the research investment analysis system comprises a research progress analysis module and an expense demand analysis module.
Preferably, the evaluation report includes evaluation results, wherein the evaluation results include excellent achievement transformation, good achievement transformation and general achievement transformation.
According to the scientific and technological project achievement transformation evaluation device based on AHP and gray clustering, the weight value of each index in a scientific and technological project achievement transformation evaluation model is determined based on the AHP, then the clustering category of a scientific and technological project to be evaluated is obtained based on a gray clustering method and the weight value, and finally an evaluation report of the scientific and technological project to be evaluated is obtained according to the clustering category, so that quantitative analysis can be performed on achievement transformation evaluation of the scientific and technological project, the influence of artificial subjective factors is reduced, and the accuracy and the objectivity of the evaluation report of the scientific and technological project during achievement transformation are improved; the scientific and technological project achievement transformation and evaluation model comprises a technical analysis system, a comprehensive benefit analysis system, a research foundation analysis system and a research investment analysis system, each analysis system comprises a plurality of indexes, all aspects influencing scientific and technological project achievement transformation are included, and the accuracy of an evaluation report is further improved.
Fig. 4 is a schematic structural diagram of a preferred embodiment of a terminal device according to the present invention, where the device is capable of implementing all processes of the method for converting and evaluating scientific and technological project achievements based on AHP and gray clustering according to any of the embodiments.
As shown in fig. 4, the apparatus includes a memory, a processor; wherein the memory stores a computer program configured to be executed by the processor, and when executed by the processor, the method for evaluating conversion of scientific and technological project achievements based on AHP and gray clustering as described in any one of the above embodiments is implemented.
The terminal equipment provided by the embodiment of the invention can carry out quantitative analysis on the achievement conversion evaluation of the scientific and technological project, reduce the influence of artificial subjective factors, and improve the accuracy and objectivity of the evaluation report of the scientific and technological project during the achievement conversion.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be used for storing the computer programs and/or modules, and the processor may implement various functions of the terminal device by executing or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
It should be noted that the terminal device includes, but is not limited to, a processor and a memory, and those skilled in the art will understand that the structural diagram of fig. 4 is only an example of the terminal device, and does not constitute a limitation to the terminal device, and may include more components than those shown in the drawings, or may combine some components, or may be different components.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and it should be noted that, for those skilled in the art, several equivalent obvious modifications and/or equivalent substitutions can be made without departing from the technical principle of the present invention, and these obvious modifications and/or equivalent substitutions should also be regarded as the scope of the present invention.
Claims (10)
1. A scientific and technological project achievement transformation evaluation method based on AHP and gray clustering is characterized by comprising the following steps:
constructing a scientific and technological project achievement conversion evaluation model;
determining the weight value of each index in the scientific and technological project achievement conversion evaluation model based on AHP;
acquiring the clustering category of the scientific and technological project to be evaluated based on a gray clustering method and a weight value;
and acquiring a result conversion evaluation report of the scientific and technological project to be evaluated according to the cluster category.
2. The AHP and gray cluster-based scientific and technological project achievement transformation evaluation method according to claim 1, wherein the determining of the weight value of each index in the scientific and technological project achievement transformation evaluation model based on the AHP specifically includes:
carrying out structural analysis on the scientific and technological project achievement conversion to construct a hierarchical structure;
according to the hierarchical structure, pairwise comparison is carried out between the indexes, the relative quality sequence of the indexes is arranged according to the 9-division ratio, and a judgment matrix is constructed in sequence;
carrying out consistency check on the judgment matrix;
and when the judgment matrix passes consistency check, acquiring the maximum characteristic root and the corresponding characteristic vector of the judgment matrix, and normalizing the characteristic vector to obtain the weight value of each index.
3. The AHP and gray clustering-based scientific and technological project achievement transformation and evaluation method as claimed in claim 2, wherein the consistency check of the judgment matrix specifically comprises:
calculating a consistency index;
calculating a random consistency ratio according to the consistency index;
and when the random consistency ratio is smaller than a first threshold value, judging that the judgment matrix passes consistency check, otherwise, judging that the judgment matrix does not pass consistency check.
4. The AHP and gray clustering-based scientific and technological project achievement transformation and evaluation method as claimed in claim 1, wherein the obtaining of the clustering category of the scientific and technological project to be evaluated based on the gray clustering method and the weight value specifically comprises:
determining a gray cluster set and a value interval of each gray cluster;
constructing a whitening weight function of each gray cluster according to the value interval of each gray cluster;
acquiring a clustering coefficient value of each gray cluster according to the whitening weight function and the weight value;
and obtaining the cluster category according to the cluster coefficient value of each gray cluster.
5. The AHP and gray clustering based scientific and technological project achievement transformation and evaluation method according to any one of claims 1 to 4, wherein the scientific and technological project achievement transformation and evaluation model comprises a technical analysis system, a comprehensive benefit analysis system, a research foundation analysis system and a research investment analysis system.
6. The AHP and gray cluster based scientific and technological project achievement transformation and evaluation method as claimed in claim 5, wherein the technical analysis system comprises a technical route feasibility analysis module, a technical innovation degree analysis module, a technical parameter lead analysis module, a technical reliability analysis module and a technical adaptability analysis module.
7. The AHP and gray cluster based scientific and technological project achievement transformation and evaluation method as claimed in claim 5, wherein the comprehensive benefit analysis system comprises a social benefit analysis module, an economic benefit analysis module and an intellectual property benefit analysis module.
8. The AHP and gray clustering based scientific and technological project achievement transformation and evaluation method as claimed in claim 5, wherein the research foundation analysis system comprises a theoretical method scientific analysis module, a theoretical method advancement analysis module, a research facility analysis module and a research team analysis module.
9. The AHP and gray clustering based scientific and technological project achievement transformation and evaluation method according to claim 5, wherein the research investment analysis system comprises a research progress analysis module and a cost demand analysis module.
10. A scientific and technological project achievement transformation evaluation device based on AHP and gray clustering is characterized in that the device comprises:
the model construction unit is used for constructing a scientific and technological project achievement conversion evaluation model;
the weight calculation unit is used for determining the weight value of each index in the scientific and technological project achievement conversion evaluation model based on AHP;
the category acquisition unit is used for acquiring the clustering category of the scientific and technological project to be evaluated based on a gray clustering method and a weight value;
and the evaluation unit is used for acquiring a result conversion evaluation report of the scientific and technological project to be evaluated according to the cluster type.
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Application publication date: 20210205 |