基于FBNs的有人机/UCAV编队对地攻击威胁评估

信息化环境下的编队对地攻击过程中，所获取的地面兵力威胁信息具有高度不确定性。如何采用高效的不确定性信息推理方法快速准确地完成地面兵力对空中飞行编队的威胁评估建模成为一个亟待解决的问题。提出基于模糊贝叶斯网络的有人机/无人战斗机编队对地威胁评估建模方法，综合模糊逻辑与贝叶斯网络的优势，对战场的随机、模糊威胁信息进行综合处理。仿真结果表明，模糊贝叶斯网络不仅能够有效处理战场不确定信息，而且能够综合指挥员的主观判断，适合于不确定性战场环境下的威胁评估推理。

Threat assessment of manned/unmanned combat aerial vehicle formation air-to-ground attack based on FBNs

During the process of air-to-ground attack under information environment,the threat information of ground entities is of high uncertainty.How to model the threat assessment of ground entities to aerial formation with an efficient uncertainty information inference method is a key issue demanding prompt solution.A threat assessment method of manned/unmanned aerial vehicle formation air-to-ground attack based on fuzzy Bayesian networks(FBNs) is proposed.This method integrates the advantages of fuzzy logic and Bayesian networks and can dispose the stochastic and fuzzy threat information.Simulation results indicate that FBNs can integrate not only the uncertainty information but also the subjective judgment of commanders,and fits the need of threat assessment inference in the uncertain combat environment.