• DocumentCode
    2754166
  • Title

    Discrete events system simulation-based deFuzzification method

  • Author

    Bisgambiglia, P.A. ; de Gentili, E. ; Bisgambiglia, P. ; Santucci, J.-F.

  • Author_Institution
    CNRS, Univ. of CORSICA, Corte
  • fYear
    2008
  • fDate
    5-7 May 2008
  • Firstpage
    132
  • Lastpage
    138
  • Abstract
    This article presents our approach to discrete event simulation for system with inaccurate parameters. For such systems, simulation runs according to events whose dates are known; but in fuzzy modeling, it may be that the date of the events are inaccurate. To solve this problem, we suggest using a method that converts a inaccurate value into accurate value. This method is incorporated into a modelling and simulation formalism.
  • Keywords
    discrete event simulation; discrete event systems; fuzzy set theory; deFuzzification method; discrete events system; fuzzy modeling; fuzzy sets; interval analysis; Analytical models; Arithmetic; Discrete event simulation; Discrete event systems; Fuzzy sets; Fuzzy systems; Laboratories; Mathematical analysis; Mathematical model; Numerical models; Defuzzification; Discrete Events Systems; Fuzzy Sets; Interval Analysis; Modeling; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 2008. MELECON 2008. The 14th IEEE Mediterranean
  • Conference_Location
    Ajaccio
  • Print_ISBN
    978-1-4244-1632-5
  • Electronic_ISBN
    978-1-4244-1633-2
  • Type

    conf

  • DOI
    10.1109/MELCON.2008.4618423
  • Filename
    4618423