基于贝叶斯网络的空战效能评估方法研究  

Effectiveness Evaluation Method of Air-combat Based on Bayesian Networks

作　　者：汪泽辉 方洋旺[1] 

机构地区：[1]空军工程大学航空航天工程学院,西安710038

出　　处：《航空工程进展》2018年第1期35-42,共8页Advances in Aeronautical Science and Engineering

摘　　要：贝叶斯网络是一个基于概率推理的数学模型,常用于解决复杂系统间的不确定性,且具有较大优势。空战过程是一个极为复杂的过程,具有较高的不确定性,针对空战效能评估过程中存在的问题,结合空战理论和实际情况,建立空战效能评估的贝叶斯网络模型,提出基于贝叶斯网络的空战效能评估方法,并进行仿真分析。结果表明:该评估方法能够根据战场环境证据对空战信息优势、协同能力、部队效能、决策指挥能力进行效能评估,为决策提供有力依据,且具有很强的学习能力与推理能力。Bayesian network(BN)is a mathematical model based on probabilistic reasoning,which have a great advantages in solving the uncertainties between complex systems.Because of the complexity and uncertainty in air-combat,aiming at the problems in effectiveness evaluation,combined with the air-combat theory and reality,the effectiveness evaluation model of air-combat based on BN is build,the effectiveness evaluation method of aircombat based on BN is given,and simulation analysis is carried out.The results show that the model is valid and accurate,and the method is of a strong learning and reasoning ability.

关 键 词：空对空作战 效能评估 贝叶斯网络 贝叶斯推理 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]