• DocumentCode
    289746
  • Title

    From fault trees to fuzzy relations in managing heuristics for technical diagnosis

  • Author

    Ulieru, Mithafla

  • Author_Institution
    Inst. of Autom. Control, Tech. Univ. Darmstadt, Germany
  • fYear
    1993
  • fDate
    17-20 Oct 1993
  • Firstpage
    392
  • Abstract
    A generic possibilistic framework for embracing through fuzzy relations the causal-abductive duality co-existent within the diagnostic information is proposed. As a challenge of the classical fault tree analysis, the proposed approach overpasses the main limitations of the restrictive framework of reliability theory by processing linguistic expert knowledge through the deterministic trees. On a very simple example it is illustrated on how fuzzy relations represent an excellent tool for unified integration of heuristic diagnostic information, as a basis for managing complex diagnostic situations via approximate reasoning
  • Keywords
    fault diagnosis; fault trees; fuzzy logic; inference mechanisms; reliability; reliability theory; uncertainty handling; approximate reasoning; causal-abductive duality; deterministic trees; fault diagnosis; fault trees; fuzzy relations; heuristic diagnostic information; linguistic expert knowledge; reliability theory; technical diagnosis; Artificial intelligence; Cause effect analysis; Connectors; Equations; Fault diagnosis; Fault trees; Reliability theory; Tree data structures; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
  • Conference_Location
    Le Touquet
  • Print_ISBN
    0-7803-0911-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1993.384903
  • Filename
    384903