Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 1-5.doi: 10.11896/JsJkx.190700078

• Artificial Intelligence • Previous Articles     Next Articles

Science and Technology Strategy Evaluation Based on Entropy Fuzzy AHP

LIU Zi-qi1, 2, 3, 4, GUO Bing-hui1, 2, 3, 4, CHENG Zhen5, YANG Xiao-bo1, 2, 3, 4 and YIN Zi-qiao1, 2, 3, 4   

  1. 1 School of Mathematical Sciences,Beihang University,BeiJing 100191,China
    2 Peng Cheng Laboratory,Shenzhen,Guangdong 518055,China
    3 Big Data Brain Computing,BeiJing 100191,China
    4 Key Laboratory of Mathematics Informatics and Behavioral Semantics,Ministry of Education,BeiJing 100191,China
    5 China Aerospace Academy of Systems Science and Engineering,BeiJing 100046,China
  • Published:2020-07-07
  • About author:LIU Zi-qi, born in 1996, postgraduate.He is a student member of China Computer Federation.His main research interests include data science, and complex intelligent system.
    GUO Bin-gui, born in 1982, associate professor, Ph.D supervisor.He is a professional member of China Computer Federation.His main research interests include data science, and complex intelligent system.
  • Supported by:
    This work was supported by the Artificial Intelligence ProJect(2018AAA0102301),National Natural Science Foundation of China (11671025) and Fundamental Research of Civil Aircraft (MJ-F-2012-04).

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Abstract: The scientificity of the evaluation system is directly related to the degree of understanding of the merits and demerits of the evaluated obJects.It is of great significance to apply the scientific methods to the construction of the evaluation system.In this paper,aiming at the problem that the traditional Fuzzy Analytic Hierarchy Process (FAHP) relies on experts’ evaluation of indicators and artificially given expert coefficients to calculate index weights with strong subJective factors,which lead to inaccurate results,the Entropy Fuzzy Analytic Hierarchy Process was proposed.Firstly,the expert survey results were analyzed to obtain the Judgment matrix,then the index weights calculation method based on expert coefficients in fuzzy analytic hierarchy process was changed to entropy method,finally,the evaluation scores of the obJect-oriented were obtained by using the fuzzy evaluation method.In order to test the obJectivity and effectiveness of the algorithm,the pre-existing effectiveness index of national defense science and technology strategy was taken as the research obJect,and the white paper of “2016 China Aerospace” was used as an example.The results show that the score obtained by entropy fuzzy analytic hierarchy process is greatly improved,indicating the effectiveness of the combination of entropy method and fuzzy analytic hierarchy process.

Key words: Analytic hierarchy process, Fuzzy evaluation, Information entropy, Judgment matrix

CLC Number: 

  • TP181
[1] MA P.A Review of Research Based on Bibliometric Analytic Hierarchy Process.Economic Research Gguide,2018(32):6-8.
[2] YIN H.Performance Evaluation of Scientific and Technological Achievements Transformation Based on AHP-Entropy Method.Operations Research and Management Science,2007(12):111-117.
[3] DONG B S.Coal Mine Safety Risk Assessment Based on Entropy Weight Fuzzy Analytic Hierarchy Process.Journal of Shanxi Institute of Energy,2019(4):25-28.
[4] HUANG X F,HUANG X Q,FANG G H,et al.Benefit Evaluation of Reservoir Reinforcement Based on GA-AHP and Matter Element Analysisl.Water Resources and Power,2016(10):141-145.
[5] WANG N,SHEN Z Z,XU L Q,et al.Evaluation of reinforcement effect of dangerous reservoirs based on simulated annealing analytic hierarchy process.Water Resources and Power,2013(9):65-67.
[6] CHAI C C,XU D Q,ZHANG L,et al.Urban river channel based on fuzzy hierarchy-principal component analysis Comprehensive evaluation of ecological slope protection.Bulletin of Soil and Water Conservation,2016(10):167-177.
[7] WANG L P,CHEN X X.Comprehensive evaluation of river ecological slope protection based on fuzzy hierarchy-principal component analysis.Water Conservancy Science and Technology and Economy,2018(8):38-42.
[8] FENG Y.Research on Network Security Evaluation Based on Inter-regional Analytic Hierarchy Process.Mathematics in Practice and Theory,2016(3):162-167.
[9] WANG W.Research on Network Security Evaluation by AHP and SVM Combination.Computer Simulation,2011(3):182-185.
[10] XIAO H.The application of analytic hierarchy process in the choice of transportation mode.Economic and Trade Practice,2019,02,298.
[11] CHENG Z,XUE H F.Evaluation of National Defense Science and Technology Strategy Effectiveness Based on Fuzzy Analytic Hierarchy Process[J].Scientific Management Research,2019(2).
[12] LIN C R,YANG X Y.Product quality evaluation based on entropy method and sequence relation analysis method.Modular Machine Tools and Automated Processing Technology,2018,1001-2265:10-0156-05.
[13] SONG Y Y,LU Y.Decision tree methods:application for classification and prediction.Shanghai Archives of Psychiatry,2015,27(2):130-135.
[14] BAI X M,ZHAO S S.The method of weight determination derived from index correlation.Jiangsu Statistics,1998(4):16-18.
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