UAV air combat maneuvering decision based on intuitionistic fuzzy game theory

被引：5
|
作者：
Li S. [1 ]
Ding Y. [1 ]
Gao Z. [1 ]
机构：
[1] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2019年 / 41卷 / 05期
关键词：
Differential evolution algorithm; Intuitionistic fuzzy; Maneuvering decision; Nash equilibrium;
D O I：
10.3969/j.issn.1001-506X.2019.05.19
中图分类号：
学科分类号：
摘要：
To solve the problem of unmanned aerial vehicle (UAV) air combat maneuvering decision in uncertain environment, the game theory is combined with intuitionistic fuzzy set. First of all, the optional strategy of UAV is assessed by intuitionistic fuzzy multi-attribute to obtain the intuittionistic fuzzy payoff matrix. Then, Nash equilibrium condition under intuitionistic fuzzy total order relations is proposed, and a planning model for solving Nash equilibrium is established. Meanwhile, differential evolution algorithm, based on individual control parameters and genetic algebra adaptive strategy, is improved to get the optimal solution of the game model. Finally, the simulation validates the rationality and effectiveness of the model and the proposed algorithm, which is a new idea for solving the air combat decision-making problems in uncertain environment. © 2019, Editorial Office of Systems Engineering and Electronics. All right reserved.
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收藏
页码：1063 / 1070
页数：7
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