• DocumentCode
    1857002
  • Title

    Using fuzzy logic for system criticality analysis

  • Author

    Peláez, C. Enrique ; Bowles, John B.

  • Author_Institution
    South Carolina Univ., Columbia, SC, USA
  • fYear
    1994
  • fDate
    24-27Jan 1994
  • Firstpage
    449
  • Lastpage
    455
  • Abstract
    Fuzzy logic provides a tool for directly manipulating the linguistic terms that an analyst employs in making a criticality assessment for a failure modes, effects and criticality analysis (FMECA). This allows an analyst to evaluate the risk associated with item failure modes in a natural way. Appropriate actions to correct or mitigate the effects of the failure can be prioritized even though the information available is vague, ambiguous, qualitative, or imprecise
  • Keywords
    failure analysis; fuzzy logic; failure criticality analysis; failure effects; failure modes; fuzzy logic; linguistic terms; risk; system criticality analysis; Aerospace industry; Aerospace safety; Automotive engineering; Failure analysis; Fuzzy logic; Fuzzy sets; Fuzzy systems; Lakes; Product safety; Risk analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium, 1994. Proceedings., Annual
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    0-7803-1786-6
  • Type

    conf

  • DOI
    10.1109/RAMS.1994.291150
  • Filename
    291150