摘要
态势认识的本质是通过因果推理进行态势理解和诊断推理以实现态势预测,不确定性知识表示和推理是态势认识过程中需要解决的两个重要问题。基于贝叶斯网络易于进行不确定性推理的优点,综合应用贝叶斯网络因果推理和诊断推理,提出了态势认识的贝叶斯网络模型,应用贝叶斯网络信息传播算法,给出了态势认识系统实现的方法,并通过实例计算论证了该方法的可行性和实用性。
The essence of situation awareness is causal reasoning to achieve situation understanding and diagnostic reasoning to achieve situation projection. In the course of situation awareness, there are two important problems needed to solved which are uncertain knowledge representation and reasoning. Since the merit of Bayesian networks have the advantages on dealing with uncertain reasoning, a new method is proposed which synthesizes both causal reasoning and diagnostic reasoning based on Bayesian networks, and the model of Bayesian networks of situation awareness is given. Based on the algorithm of propagation in Bayesian networks utilized, the method of realizing situation awareness is presented, finally an example is given to demonstrate the feasibility and practicability of the method.
出处
《火力与指挥控制》
CSCD
北大核心
2010年第3期89-92,共4页
Fire Control & Command Control
基金
海军工程大学自然科学基金资助项目(HGDJJ07022)
关键词
态势认识
贝叶斯网络
置信度
条件概率表
situation awareness, bayesian networks, belief ,conditional probability table
