NDLI: Evidential Networks for Reliability Analysis and Performance Evaluation of Systems With Imprecise Knowledge

Content Provider	IEEE Xplore Digital Library
Author	Simon, C. Weber, P.
Copyright Year	1963
Abstract	This paper deals with evidential networks to manage imprecise probabilities. Evidential networks are directed acyclic graphs that handle random, and epistemic uncertainties thanks to Dempster-Shafer structures. After we recall useful bases of the Dempster-Shafer theory, and the relation with probability intervals, we explain how to handle imprecision. Evidential networks are extended with imprecise utility functions to deal with system performance evaluation problems. We explain the application of evidential networks to system reliability evaluation problems. Then, applications to multi-state performance evaluation are proposed. The last section of the paper is devoted to study case systems.
Sponsorship	IEEE Reliability Society
Starting Page	69
Ending Page	87
Page Count	19
File Size	1989769
File Format	PDF
ISSN	00189529
Volume Number	58
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance analysis Bayesian methods Reliability Utility theory Time measurement Knowledge management Uncertainty System performance Fuzzy sets Power measurement utility functions Dempster-Shafer theory imprecise probability performance evaluation
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Electrical and Electronic Engineering

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