基于模糊贝叶斯网络的UAV中远距空战战术决策

Tactical Decision-making of UAV for Long-range Air Combat Based on Fuzzy Bayesian Network

针对无人机中远距空战战术决策时决策环境的不确定性和决策实时性问题,提出了基于模糊贝叶斯网络的无人机中远距空战战术决策方法。研究了无人机空战过程,对影响战术决策的主要因素进行分析建模,构建了战术决策的模糊贝叶斯网络。最后,利用模糊集合理论对连续型态势变量进行变参数模糊化,并输入战术决策网络进行推理,对该决策方法的正确性、实时性以及在不确定环境下的有效性进行仿真验证。

To process the uncertainty of decision-making environment and the decision-maCing real-time, a tactical decision-making method of UAV for the long-range air combat is proposed. By studying the process of UAV air combat,the main factors that affect the tactical decision is analyzed, and a Fuzzy Bayesian network is built up for tactical decision-making. Finally,fuzzying the continuous variables with variable parameters by using fuzzy set theory and reasoning by using the decision-making network,the correctness,real-time and effectiveness in an uncertain environment of the decision- making methods is verified.