Threat sequencing of multiple UCAVs with incomplete information based on game theory

作     者：LI Shouyi CHEN Mou WU Qingxian WANG Yuhui LI Shouyi;CHEN Mou;WU Qingxian;WANG Yuhui

作者机构：College of Automation EngineeringNanjing University of Aeronautics and AstronauticsNanjing 211100China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2022年第33卷第4期

页      面：986-996页

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 07[理学] 08[工学] 0826[工学-兵器科学与技术] 070105[理学-运筹学与控制论] 0701[理学-数学] 0811[工学-控制科学与工程] 

基　　金：supported by the Major Projects for Science and Technology Innovation 2030 (2018AAA0100805)。 

主　　题：threat sequencing multiple unmanned combat air vehicles(UCAVs) multi-attribute decision-making(MADM) game theory incomplete information 

摘      要：The threat sequencing of multiple unmanned combat air vehicles(UCAVs) is a multi-attribute decision-making(MADM)problem. In the threat sequencing process of multiple UCAVs,due to the strong confrontation and high dynamics of the air combat environment, the weight coefficients of the threat indicators are usually time-varying. Moreover, the air combat data is difficult to be obtained accurately. In this study, a threat sequencing method of multiple UCAVs is proposed based on game theory by considering the incomplete information. Firstly, a zero-sum game model of decision maker( D) and nature(N)with fuzzy payoffs is established to obtain the uncertain parameters which are the weight coefficient parameters of the threat indicators and the interval parameters of the threat matrix. Then,the established zero-sum game with fuzzy payoffs is transformed into a zero-sum game with crisp payoffs(matrix game) to solve. Moreover, a decision rule is addressed for the threat sequencing problem of multiple UCAVs based on the obtained uncertain parameters. Finally, numerical simulation results are presented to show the effectiveness of the proposed approach.