基于贝叶斯网络的态势估计研究

Research of Situation Assessment Based on Bayesian Networks

作为一种知识表示和进行概率推理的框架,贝叶斯在具有内在不确定性的推理和决策问题中得到了广泛的应用。分析了使用贝叶斯网络进行态势估计知识表示问题,提出了构建贝叶斯网络进行态势估计的步骤,分析了态势估计系统事件的层次。最后,给出一个具体的实例,演示了使用贝叶斯网络进行态势估计的过程。

As a knowledge representation framework and a kind of probability inference engine, Bayesian networks are widely used in reasoning and decision-making. The situation assessment knowledge representation using the Bayesian networks, the steps to construct a Bayesian networks for situation assessment were presented, and the layers of events in the situation assessment system were analyzed. Finally, the process of how to use the Bayesian networks for situation assessment was showed by an example.