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事件树、故障树、决策树与贝叶斯网络

Event Tree、Faulty Tree、Decision Tree and Bayesian Network

中文摘要英文摘要

事件树、故障树和决策树分析法是系统分析的重要方法,能够对系统风险、系统薄弱环节等进行有效的分析,但存在表示结构复杂、不能表达更复杂变量等缺点。贝叶斯网络作为一种新兴的系统分析工具,能够解决事件树、故障树和决策树的一些缺点。本文较为系统地分析了两种方法之间的关系,并通过三个例子对其作了具体阐述。

Event Tree、Faulty Tree and Decision Tree are the important methods in system analysis. They can analyze the weak factors and the risk of the system, and they also have some disadvantages at the same time, for example, they can not express more complex values and their models are complex and so on. As a new system analysis tool, Bayesian Network can outcome some shortcomings of these three Trees. The relationship of the two methods was introduced detailedly through giving three examples in this paper.

周建方、许智勇

自动化基础理论计算技术、计算机技术

事件树故障树决策树贝叶斯网络

Event TreeFaulty Treeecision TreeBayesian Network

周建方,许智勇.事件树、故障树、决策树与贝叶斯网络[EB/OL].(2007-11-19)[2025-08-04].http://www.paper.edu.cn/releasepaper/content/200711-352.点此复制

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