Possibilistic information measure of importance in fault tree analysis

doi:10.1109/FSKD.2010.5569758

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	Possibilistic information measure of importance in fault tree analysis
	He, Liping; An, Zongwen
	2010
关键词	Semantics Concordance analysis Fault identifications Fault tree analyses (FTA) Importance measure Improtance measure Non-specificity Possibilistic informations Possibility uncertainty
卷号	1
DOI	10.1109/FSKD.2010.5569758
页码	487-491
英文摘要	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.
会议录	Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://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
推荐引用方式 GB/T 7714	He, Liping,An, Zongwen. Possibilistic information measure of importance in fault tree analysis[C]. 见:.