动态贝叶斯网络在态势评估中的应用

针对目前战场态势变化的复杂性和多样性,尤其是战场信息的不确定性和模糊性,提出了利用动态贝叶斯网络,根据态势事件与态势假设之间的潜在关系建立态势评估的功能模型,从而实现态势评估,并用具体的实例验证了该方法的有效性.仿真结果表明,依据动态贝叶斯网络建立的态势评估模型,能够将各种特征因素进行综合,使得不同时间片的特征因素相互修正,从而能够准确地跟踪战场态势的变化,所得态势评估结果为指挥员分析当前态势和决策提供了支持.

Application of Dynamic Bayesian Network to Situation Assessment

Considering the complexity and diversity of situation alteration in the battlefield,especially the uncertainty and fuzziness of battlefield information,it was proposed that a functional model of situation assessment could be set up by using the dynamic Bayesian network and in terms of the potential relation between situation events and situation hypothesis,to implement situation assessment.And by taking the examples the proposed methods were tested and verified.The simulation results show that the situation assessment model based on dynamic Bayesian network can integrate various characteristic factors to make those characteristic factors in various time periods be modified mutually,accurately tracking the variation of battlefield situation.And the resultant situation assessment can provide a support for commanders analyzing the c1urrent situation and making decision correctly.