摘要
为提高空中目标敌我识别能力,提出一种基于直觉模糊集和证据理论的空中目标综合识别方法。该方法采用多属性决策的思想解决空中目标综合识别问题,首先借鉴美军先进做法对空中目标综合识别问题进行描述;接着对空中目标综合识别进行多属性决策建模,分别使用AIFS交叉熵、冲突系数与证据距离相结合的方式计算属性权重和专家权重,并使用证据折扣法对属性信息和专家信息集结过程中的证据进行修正与融合;最后结合实例和对比分析验证了该方法的可行性。
In order to improve the identification ability of air targets,a comprehensive identification method of air target based on intuitionistic fuzzy set and evidence theory is proposed.This method adopts the idea of multi-attribute decision-making to solve the problem of air target comprehensive recognition.Firstly,the problem of air target comprehensive identification is described by referring to the advanced practice of the U.S.military.Then,the multi-attribute decision-making modeling is carried out for air target comprehensive identification,the attribute weight and expert weight are calculated by combining AIFS cross entropy,conflict coefficient and evidence distance,and the evidence discount method is used to modify and fuse the evidence in aggregation process of attribute information and expert information.Finally,an example is given to verify the feasibility of the proposed method.
作者
陈致远
沈堤
余付平
宋亚飞
宋帅
Chen Zhiyuan;Shen Di;Yu Fuping;Song Yafei;Song Shuai(Air Traffic Control and Navigation College,Air Force Engineering University,Xi’an 710051,China;Air and Missile Defense College,Air Force Engineering University,Xi’an 710051,China;Unit 31005 of PLA,Beijing 100089,China;Unit 32145 of PLA,Xinxiang 453000,China)
出处
《航空兵器》
CSCD
北大核心
2022年第1期58-66,共9页
Aero Weaponry
基金
国家社科基金项目(15GJ003-227)。
关键词
空中目标
综合识别
多属性决策
直觉模糊集
D-S证据理论
air target
comprehensive identification
multi-attribute decision making
intuitionistic fuzzy sets
D-S evidence theory