Journal of System Simulation
Abstract
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.
Recommended Citation
Fei, Wang; Liang, Xiaogeng; Chao, Guo; and Li, Peipei
(2020)
"Guidance Simulation Credibility Evaluation Based on Clustering with Grey Cloud and Entropy Weight,"
Journal of System Simulation: Vol. 27:
Iss.
8, Article 7.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol27/iss8/7
First Page
1703
Revised Date
2015-07-02
DOI Link
https://doi.org/
Last Page
1707
CLC
TH166
Recommended Citation
Wang Fei, Liang Xiaogeng, Guo Chao, Li Peipei. Guidance Simulation Credibility Evaluation Based on Clustering with Grey Cloud and Entropy Weight[J]. Journal of System Simulation, 2015, 27(8): 1703-1707.
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