基于贝叶斯网络的空战效能评估方法研究

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。

Effectiveness Evaluation Method of Air-Combat Based on Bayesian Networks

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 air-combat based on BN is given, and simulation analysis is carried out. The results show that the model is valid and accurate, and the method has a strong ability to learn and reasoning.