Possibilistic information measure of importance in fault tree analysis

doi:10.1109/FSKD.2010.5569758

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	Possibilistic information measure of importance in fault tree analysis
	He, Liping; An, Zongwen
	2010
会议录名称	Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
卷号	1
页码	487-491
出版者	IEEE Computer Society
摘要	With respect to the subjective and nonlinear factors inherent in the importance identification of a fault tree analysis (FTA), a new importance measure of FTA is proposed based upon possibilistic information entropy. After investigating the possibilistic information semantics, measure-theoretic terms and entropy-like models, a two-dimensional framework is constructed by combining both the set theory and the measure theory. By adopting the possibilistic assumption in place of the probabilistic one, an axiomatic index of importance is defined in the possibility space and an example of the fault tree is thus provided, along with the concordance analysis and otherness discussions. The more conservative numerical results of importance rankings which involved more choices could be viewed as "soft" fault identification under a certain expected value. ©2010 IEEE.
关键词	Semantics Concordance analysis Fault identifications Fault tree analyses (FTA) Importance measure Improtance measure Non-specificity Possibilistic informations Possibility uncertainty
DOI	10.1109/FSKD.2010.5569758
收录类别	EI
语种	英语
EI入藏号	20104813422427
EI主题词	Fault tree analysis
来源库	Compendex
分类代码	641.1 Thermodynamics - 913.3 Quality Assurance and Control - 921 Mathematics
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116443
专题	机电工程学院
作者单位	School of Mechatronics Engineering, Lanzhou University of Technology, Lanzhou, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	He, Liping,An, Zongwen. Possibilistic information measure of importance in fault tree analysis[C]:IEEE Computer Society,2010:487-491.