关键词: 无人作战飞机, 区间数决策, 相对熵, 纳什均衡, 粒子群优化

Abstract: Based on interval numbers decision with uncertain information, the attack-defends game model of unmanned combat aerial vehicle is established. The combat situation is introduced into interval payoff matrix, and the distribution of the point within the interval is reformed and transformed into four-parameter interval number. A new decision method of target assignment combined with relative entropy is put forward, which has the advantages of high differentiation degrees during the decision-making process. Then, the method to solve the optimization problem is denoted and the Nash equilibrium is attained by adaptive PSO method. The simulation result confirms the feasibility and validity of this method used in unmanned combat aerial vehicle game theory.

Key words: Unmanned Combat Aerial Vehicle(UCAV), interval numbers decision, relative entropy, Nash equilibrium, particle swarm optimization