• DocumentCode
    35786
  • Title

    Human Reliability Evaluation for Offshore Platform Musters Using Intuitionistic Fuzzy Sets

  • Author

    Tyagi, S.K. ; Akram, Muhammad

  • Author_Institution
    Ibri Coll. of Appl. Sci., Ibri, Oman
  • Volume
    21
  • Issue
    6
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    1115
  • Lastpage
    1122
  • Abstract
    This study describes a new approach, i.e., the intuitionistic fuzzy success index method, for human reliability estimation using intuitionistic fuzzy sets. In our study, two offshore platform muster scenarios, i.e., “man overboard” and “gas release,” were considered as an assessing and a reference task, respectively. Herein, we aggregated the weightings and ratings of various performance shaping factors concerned with “man overboard” to obtain the intuitionistic fuzzy success index (IFSI) of the assessing task. Thereafter, we considered the pooled discrete intuitionistic fuzzy subset of the IFSI as the causal event and the known human reliability as the resultant event. Using this, we generate an intuitionistic fuzzy relation between the two events of the concerned task. The composition of the discrete intuitionistic fuzzy subset of the IFSI and the intuitionistic fuzzy relation gave the human reliability in the assessing task “man overboard.”
  • Keywords
    fuzzy set theory; human factors; offshore installations; IFSI; gas release scenario; human reliability estimation; intuitionistic fuzzy relation; intuitionistic fuzzy success index method; man overboard scenario; offshore platform muster scenario; pooled discrete intuitionistic fuzzy subset; Estimation; Fuzzy sets; Humans; Indexes; Pragmatics; Reliability theory; Human reliability; intuitionistic fuzzy relation; intuitionistic fuzzy sets; performance shaping factors (PSFs);
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2013.2243734
  • Filename
    6423889