系统仿真学报 ›› 2015, Vol. 27 ›› Issue (8): 1703-1707.

• 建模与仿真理论及方法 • 上一篇    下一篇

灰云熵权聚类的制导仿真系统可信度评估

王斐1, 梁晓庚2, 郭超2, 李佩佩1   

  1. 1.河南科技大学 信息工程学院,河南 洛阳 471003;
    2.中国空空导弹研究院,河南 洛阳 471009
  • 收稿日期:2015-01-18 修回日期:2015-07-02 出版日期:2015-08-08 发布日期:2020-08-03
  • 作者简介:王斐(1976-),男,洛阳人,博士,副教授,研究方向为系统建模与仿真;梁晓庚(1960-), 男, 孟州人, 研究员,博导, 研究方向为飞行器控制;郭超(1988-), 男, 驻马店人, 博士,工程师, 研究方向为飞行器控制。
  • 基金资助:
    航空科学基金 (20100196002)

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

摘要: 针对制导仿真系统可信度评估中存在随机性和模糊性的问题,提出了基于中心点正态灰云白化权函数模型和组合赋权模型的灰云聚类综合评价模型。构建了制导仿真系统可信度评估指标体系。通过基于层次分析法的指标权重云模型确定各指标的主观权重,采用基于正态灰云白化权函数的信息熵和分类区分度的熵权法确定各指标的客观权重,结合加法集成原理对二者融合得到综合权重。利用变权灰色聚类理论,计算评价对象所属灰类的聚类结果。给出实例验证了方法有效性。

关键词: 可信度评估, 灰云模型, 灰色聚类, 熵权

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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