Journal of System Simulation ›› 2015, Vol. 27 ›› Issue (8): 1703-1707.

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Guidance Simulation Credibility Evaluation Based on Clustering with Grey Cloud and Entropy Weight

Wang Fei1, Liang Xiaogeng2, Guo Chao2, Li Peipei1   

  1. 1. School of Information Engineering, He'nan University of Science and Technology, Luoyang 471003, China;
    2. China Airborne Missile Academy, Luoyang 471009, China
  • Received:2015-01-18 Revised:2015-07-02 Online:2015-08-08 Published:2020-08-03

Abstract: Considering the problems of randomness and fuzziness in evaluating indexes from guidance simulation system, a novel grey clustering comprehensive evaluation model combined with center normal grey cloud whitening function and combination weighting function was presented. The comprehensive credibility evaluation index system for guidance simulation was built. The subjective weight vector of indexes was established by weighting cloud model based on analytic hierarchy process, the objective weight vector of indexes was obtained by entropy weighting method based on the entropy and classified distinction of the normal grey cloud whitening function, then the comprehensive weight vector was acquired by fusing the subjective weights and objective weights with addition principle. The grey clustering results of evaluation objects were achieved by grey variable weight clustering theory. A practical application example validates the effectiveness of the proposed method.

Key words: credibility evaluation, grey cloud model, grey clustering, entropy weight

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