现代防御技术 ›› 2018, Vol. 46 ›› Issue (6): 1-6.DOI: 10.3969/j.issn.1009-086x.2018.06.001

• 空天防御体系与武器 •    下一篇

区间数模糊综合评判的UCAV空战威胁评估

王光辉a, 徐光达b, 谢宇鹏a, 吕超a   

  1. 海军航空大学a. 岸防兵学院;b. 研究生大队, 山东 烟台 264001
  • 出版日期:2018-11-30 发布日期:2020-10-22
  • 作者简介:王光辉(1964-), 男, 山东泰安人。教授, 博士, 主要研究方向为武器系统运用。通信地址:264001 山东省烟台市芝罘区二马路188号海军航空大学研究生三队E-mail:541554118@qq.com
  • 基金资助:
    国家自然科学基金(61501488)

UCAN Air Combat Threat Assessment Based on Interval Number Fuzzy Comprehensive Evaluation

WANG Guang-huia, XU Guang-dab, XIE Yu-penga, Lu Chaoa   

  1. Naval Aeronautical University, a.Institute of Coastal Defense Force; b.Bridge of Graduate Students, Shandong Yantai 264001, China
  • Online:2018-11-30 Published:2020-10-22

摘要: 针对空战威胁因素信息存在模糊性、不确定性的特点, 结合区间数与模糊综合评判这2种方法的各自优势, 建立了基于区间数模糊综合评判的无人作战飞机(unmanned combat aerial vehecle, UCAV)空战威胁评估模型。用区间数表示各威胁因素的权重值, 并用模糊综合评判方法建立起敌机与威胁因素之间的模糊关系, 能够有效克服传统方法确定的恒值向量式的威胁权重值无法体现空战威胁程度模糊性、不确定性的不足、也能够弥补确定权重时专家赋值主观性过强的缺陷。仿真结果验证了该评估模型的有效性。

关键词: 威胁评估, UCAV, 区间数, 模糊综合评判, 空战, 多属性决策

Abstract: Aiming at the characteristics of fuzziness and uncertainty in the information of threat factors of air combat, an unmanned combat aerial vehicle (UCAV) threat assessment model is established based on the interval number and fuzzy comprehensive evaluation. The interval number is used to express the weight value of each threat factor and to establish the fuzzy relationship between the enemy unit and the threat factor by fuzzy comprehensive judging method, which can effectively overcome the defect that the threat weight value of the constant vector type determined by the traditional method cannot reflect the ambiguity of the threat degree for the air combat threat, the insufficient uncertainty, and the error that the expert assignment of the expert in the determination weight can be compensated. Simulation results demonstrate the effectiveness of the proposed model.

Key words: threat assessment, unmanned combat aerial vehecle(UCAV), interval number, fuzzy comprehensive evaluation, air combat, multi-attribute decision making

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