摘要
针对现代战争的高度复杂、态势推理至关重要的现象,本文提出了一种基于贝叶斯网络的特殊的态势评估方法。该方法通过历史因素的引入,使得对目标意图预测更有动态积累效应。通过将本文方法与D-S证据理论的比较,验证了该方法在态势推理上拥有更好的推理效果。
Aiming at the complex and diverse battlefield environment and the difficulty of uncertain reasoning,this paper proposes a situation assessment method based on Bayesian networks.Through the introduction of historical factors,this method makes the prediction of target intentions more dynamic and cumulative.Through comparison with D-S evidence theory,it is verified that this method has better reasoning effect in situational reasoning.
作者
黄克英
任磊
贺治飞
Huang Keying;Ren Lei;He Zhifei(Xi’an Aviation Computing Technology Research Institute, AVIC, Xi’an Shaanxi 710068, China)
出处
《山西电子技术》
2022年第2期71-73,共3页
Shanxi Electronic Technology
关键词
贝叶斯网络
目标识别
态势评估
D-S证据理论
Bayesian network
target recognition
situation assessment
D-S evidence theory
