系统工程与电子技术

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基于DST-IFS的空中目标敌我属性综合识别

徐浩, 邢清华, 王伟   

  1. 空军工程大学防空反导学院, 陕西 西安 710051
  • 出版日期:2017-07-25 发布日期:2010-01-03

Integrated air target identification of friend or foe based on DST-IFS

XU Hao, XING Qinghua, WANG Wei   

  1. Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China
  • Online:2017-07-25 Published:2010-01-03

摘要:

为了实现复杂战场环境下空中目标敌我属性的综合识别,在利用证据权重衡量信息可信度的基础上,提出了一种基于DS证据理论和直觉模糊集相结合(Dempster-Shafer evidence theoryintuitionistic fuzzy sets,DST-IFS)的综合敌我识别方法。首先,分析了空中目标综合敌我识别问题,给出了具体的识别流程;然后,针对DS(DempsterShafer)函数向直觉模糊集转化过程中存在增大信息不确定性的问题,提出了一种信度分配方法用于直觉模糊隶属度和非隶属度赋值,并利用算例验证了信度分配方法的适应性和有效性;接着,〖JP〗给出了基于理想点法(technique for order preference by similarity to ideal solution,TOPSIS)的DST-IFS决策方法步骤;在此基础上,提出了一种基于DSTIFS的空中目标综合敌我识别的方法;最后进行了实例分析,验证了该综合敌我识别方法的有效性。

Abstract:

In order to conduct air target identification of friend or foe under complex battle circumstances, an integrated identification method based on the combination of Dempster-Shafer (DS) evidence theory and intuitionistic fuzzy sets (DST-IFS) is proposed with consideration of information credibility. Firstly, the problem of integrated air target identification of friend or foe is analyzed, and the integrated identification process is proposed. Secondly, aiming at solving the problem of uncertainty enlargement induced by the transformation from DS functions to IFS, a credit assignment method is proposed to determine membership degree and non-membership degree in IFS. Meanwhile, the adaptability and effectiveness of the credit assignment method is validated by case studies. Thirdly, the steps of DST-IFS decisionmaking approach based on TOPSIS (technique for order preference by similarity to ideal solution) are given. On this basis, an integrated identification of friend or foe method based on DST-IFS is proposed. Finally, the integrated identification of friend or foe method proposed is proved to be feasible via example analysis.