A fuzzy measure approach to systems reliability modeling

Ronald R. Yager*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

7 Citations (Scopus)

Abstract

Our objective here is to study the role that fuzzy measures can play in systems reliability modeling. We first introduce some basic ideas from fuzzy measure theory and then introduce some specialized ideas about fuzzy measures, cardinality index, and attitudinal character, which will later be useful in comparing systems reliability. Basic ideas of reliability modeling and the role of the system structure function are discussed. The system's signatures associated with a structure function are introduced and we show their relationship to expected time to system failure. We show how we can model a systems structure function using a fuzzy measure's. A description of the role of ameasures cardinality index and attitudinal character in providing tools for comparing systems reliability is provided.We describe how to obtain a structuremodel of a complex system using aggregation operators and the measure representation of individual components.

Original languageEnglish
Article number2282170
JournalI E E E Transactions on Fuzzy Systems
Volume22
Issue number5
Pages (from-to)1139-1150
Number of pages12
ISSN1063-6706
DOIs
Publication statusPublished - 1 Oct 2014

Keywords

  • Cardinality index
  • Fuzzy measure
  • Reliability theory
  • Systems signatures

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