贝叶斯网络的对地多目标攻击决策

Research on Decision of Air-to-Ground Multi-target Attack based on Bayesian Network Combat

利用贝叶斯网络的推理模型以及相应于此模型的推理算法,对多目标攻击时目标的选择和攻击排序进行研究。研究结果表明,基于贝叶斯网络的威胁等级评估算法是一种有效的评估算法,其结果能够比较准确地反映威胁源的真实威胁程度,进而能够有效地进行决策。

Using inference model which based on Bayesian Network and the corresponding algorithm, researches into the target choice and the attack sequence at the multi-target attacks. The result of research shows that the threat level assessment model based on Bayesian Network is an effective assessing method. It is able to reflect exactly the real threat level of menance source, then we can do the tactical decision effectively.