• DocumentCode
    10510
  • Title

    A Fuzzy Measure Approach to Systems Reliability Modeling

  • Author

    Yager, Ronald R.

  • Author_Institution
    Machine Intell. Inst., Iona Coll., New Rochelle, NY, USA
  • Volume
    22
  • Issue
    5
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    1139
  • Lastpage
    1150
  • 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 a measures cardinality index and attitudinal character in providing tools for comparing systems reliability is provided. We describe how to obtain a structure model of a complex system using aggregation operators and the measure representation of individual components.
  • Keywords
    failure analysis; fuzzy set theory; reliability theory; aggregation operators; attitudinal character; cardinality index; complex system; fuzzy measure approach; system failure; system reliability modeling; system signatures; system structure function; Additives; Finite element analysis; Indexes; Mathematical model; Reliability theory; Vectors; Cardinality index; fuzzy measure; reliability theory; systems signatures;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2013.2282170
  • Filename
    6600902