• DocumentCode
    2904166
  • Title

    Fuzzy simulation for discrete events systems

  • Author

    Bisgambiglia, Paul-Antoine ; De Gentili, Emmanuelle ; Bisgambiglia, Paul ; Santucci, Jean-François

  • Author_Institution
    CNRS UMR, CORSICA Univ., Corse
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    688
  • Lastpage
    694
  • Abstract
    The aim of our research is to develop a new method of taking into account the imperfect parameters in a discrete events modeling and simulation formalism. This article describes our approach to modeling and compares several methods for fuzzy simulations.
  • Keywords
    discrete event simulation; discrete event systems; fuzzy set theory; DEVS; discrete events modeling; discrete events systems; fuzzy interval; fuzzy sets; fuzzy simulation; simulation formalism; Discrete event simulation; Discrete event systems; Fuzzy systems; DEVS; Defuzzyfication; Fuzzy Interval; Fuzzy Sets; Modeling; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630444
  • Filename
    4630444