系统工程与电子技术

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#br# 基于区间直觉模糊集的空战训练命中评估群决策

侯西倩1,2, 寇英信1, 李战武1, 徐安1, 葛亚维1, 陈通1   

  1. (1. 空军工程大学航空航天工程学院, 陕西 西安 710038; 2. 中国人民解放军93735部队, 天津 301700)
  • 出版日期:2016-11-29 发布日期:2010-01-03

Group decisionmaking of air combat training accuracy assessmentbased on intervalvalued intuitionist fuzzy set

HOU Xiqian1,2, KOU Yingxin1, LI Zhanwu1, XU An1, GE Yawei1, CHEN Tong1   

  1. (1.Aeronautics and Astronautics Engineering College, Air Force Engineering University,
    Xi’an 710038, China; 2.Unit 93735 of the PLA, Tianjin 301700, China)
  • Online:2016-11-29 Published:2010-01-03

摘要:

为解决空战训练命中评估中存在的评估语言不一致、专家权重未知、多专家集结等群决策问题,提出了仿真模拟、区间直觉模糊集、群决策相结合的方法。利用仿真模拟构建四元命中评估指标集,集合专家经验,建立群决策模型,利用区间直觉模糊集和逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)方法实现专家经验汇总与集结,利用模糊熵原理衡量专家评估结论的模糊度,获取专家权重,最终实现空战训练命中评估。在Matlab M文件中实现了评估模块的封装,并将处理后的数据输出到Excel表格中。结合实际空战训练数据进行验证,此方法可有效解决空战训练命中评估的群决策问题。

Abstract:

With respect to the problems of the inconsistence of assessment language, unknown weight of the decisionmakers, assembly of multiple experts in air combat training accuracy assessment, a new method which combines analogue simulation and intervalvalued intuitionist fuzzy set with group decisionmaking is proposed. With analogue simulation, the index set of the accuracy assessment is built. Combining expertise, group decisionmaking model is built. With the intervalvalued intuitionist fuzzy set and the technique for order preference by similarity to ideal solution (TOPSIS) method, the expertise is gathered and assembled. With the theory of fuzzy entropy, the weight of decisionmakers is obtained through the measurement of fuzzy degree of the results. And finally, the air combat training accuracy assessment 〖JP2〗is realized. The packaging of the evaluated model〖JP〗 is accomplished in the file of Matlab M, which is exported to the Excel tables. Applying the air combat training data to the verification, the method is effective to solve the problems of group decisionmaking in air combat training accuracy assessment.