• DocumentCode
    2917647
  • Title

    Fuzzy system reliability analysis using different types of intuitionistic fuzzy numbers

  • Author

    Kumar, Mohit ; Yadav, Shiv Prasad

  • Author_Institution
    Dept. of Math., I.I.T. Roorkee, Roorkee, India
  • fYear
    2011
  • fDate
    5-8 Dec. 2011
  • Firstpage
    247
  • Lastpage
    252
  • Abstract
    This paper presents the fuzzy system reliability analysis using different types of intuitionistic fuzzy numbers (IFNs). Till now, in the literature, to analyze the fuzzy system reliability, it is assumed that the reliabilities of components of a system follow the same type of IFNs. However, in practical problems, such type of situations rarely occurs. Therefore, in the present paper, a new algorithm has been introduced to analyze the fuzzy reliability of systems having components following different types of IFNs. Functions of IFNs are calculated to solve the fuzzy system reliability via non-linear programming techniques. Our study generalizes the various works of the literature. Numerical example is also given to illustrate the proposed algorithm.
  • Keywords
    fuzzy set theory; reliability theory; IFN; fuzzy system reliability analysis; intuitionistic fuzzy numbers; nonlinear programming; Fuzzy set theory; Fuzzy sets; Hybrid intelligent systems; Programming; Reliability theory; Fuzzy system reliability; functions of intuitionistic fuzzy numbers; intuitionistic fuzzy number;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems (HIS), 2011 11th International Conference on
  • Conference_Location
    Melacca
  • Print_ISBN
    978-1-4577-2151-9
  • Type

    conf

  • DOI
    10.1109/HIS.2011.6122113
  • Filename
    6122113