Component Importance and Sensitivity Analysis in Bayesian Networks

被引：0
|
作者：
Zhong, Xiaopin [1 ]
Li, Qiu [1 ]
机构：
[1] Shenzhen Univ, Coll Mechatron & Control Engn, Shenzhen, Peoples R China
来源：
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (QR2MSE), VOLS I-IV | 2013年
基金：
中国国家自然科学基金;
关键词：
Bayesian networks; component importance; sensitivity analysis; non-deterministic structure;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, component importance and sensitivity analysis in Bayesian networks are reviewed and a strategy for the case of non-deterministic structures is proposed. A complex system example is analyzed by the methods of Birnbaum's derivative, variance-based sensitivity analysis in deterministic structures and non-deterministic structures respectively. The results are compared and demonstrate the feasibility of the proposed strategy for non-deterministic structures in Bayesian networks.
引用
收藏
页码：320 / 325
页数：6
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