贝叶斯网络用于作战态势评估  

Application of Bayesian Networks to Situation Assessment

作　　者：张雪梅[1] 高晓光[1] 

机构地区：[1]西北工业大学电子信息学院,陕西西安710072

出　　处：《火力与指挥控制》2008年第10期30-33,共4页Fire Control & Command Control

基　　金：国家自然科学基金(90205019);航空科学基金资助项目(05D53022)

摘　　要：作为一种知识表示和进行概率推理的框架,贝叶斯网络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。因果推理是态势评估中的一个重要环节,用贝叶斯网络找出态势假设和事件之间的潜在关系,正是态势评估所需完成的功能。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。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. Casual reasoning plays an important role in situation assessment. Finding out the hidden patterns between situation hypothesis and events is the function needed in situation assessment. In this paper, the steps to construct a Bayesian networks for situation assessment were presented, and the layers of events in the situation assessment system were analysed. Finally ,the process of how to use the Bayesian networks for situation assessment was showed by an example.

关 键 词：态势估计 贝叶斯网络 事件 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]