摘要
为应对人工智能时代作战样式的变化带来的不确定性,提出一种基于区间值球形模糊集(interval-value spherical fuzzy set,IVSFS)的作战威胁人机协同评估框架。IVSFS通过隶属度、非隶属度、犹豫度和弃权度的区间数来更加详细地描述决策信息。首先,提出一种将多态时序区间数融合为IVSFS的方法,来处理目标的客观数据;然后,通过模糊术语集获取专家对目标主观属性的IVSFS;针对两套数据,通过模糊熵获取指标权重,并建立基于灰色关联度分析-累计前景理论-逼近理想解排序法的评估框架来对目标的威胁程度进行人机协同的评估与决策。仿真结果表明,所提方法具有可行性与有效性,能够综合考虑目标的固有属性与动态特征,更符合作战实际。
In response to the uncertainty brought about by different styles of warfare in the era of artificial intelligence,a human-machine collaborative assessment framework of combat threat based on interval-value spherical fuzzy set(IVSFS)is proposed.IVSFS describes decision information in more detail by membership,non-membership,hesitation,and abstention in form of interval numbers.Firstly,a method is proposed to fuse polymorphic temporal interval numbers into IVSFS to process the objective data of the target.Then,the subjective attributes of the target are obtained by experts through the use of a fuzzy terminology set to generate IVSFS.Based on two sets of data,fuzzy entropy is used to obtain indicator weights and establishes an evaluation framework based on grey relation analysis-cumulative prospect theory-technique for order preference by similarity to ideal solution(GRA-CPT-TOPSIS)to assess the threat level of the target through human-machine collaboration.Simulation results show that the proposed method is feasible and effective in comprehensively considering the inherent attributes and dynamic characteristics of the target,making it more suitable for practical warfare scenarios.
作者
胡崇爽
王纪凯
李明浩
豆亚杰
姜江
HU Chongshuang;WANG Jikai;LI Minghao;DOU Yajie;JIANG Jiang(College of Systems Engineering,National University of Defense Technology,Changsha 410073,China)
出处
《系统工程与电子技术》
北大核心
2025年第6期1855-1866,共12页
Systems Engineering and Electronics
基金
国家自然科学基金(72231011)
湖南省科技创新计划(2020RC4046)资助课题。
关键词
区间球形模糊集
人机协同
多态数据融合
威胁评估
interval-value spherical fuzzy set(IVSFS)
human-machine collaboration
polymorphic data fusion
threat assessment
