• DocumentCode
    756703
  • Title

    Complex systems modeling via fuzzy logic

  • Author

    Wang, Liang ; Langari, Reza

  • Author_Institution
    Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    26
  • Issue
    1
  • fYear
    1996
  • fDate
    2/1/1996 12:00:00 AM
  • Firstpage
    100
  • Lastpage
    106
  • Abstract
    This paper presents a fuzzy logic approach to complex systems modeling that is based on fuzzy discretization technique. As compared with other modeling methods (both statistical and fuzzy), the proposed approach has the advantages of simplicity, flexibility, and high accuracy. Further, it is easy to use and may be handled by an automatic procedure. Numerical examples are provided to illustrate the performance of the proposed approach
  • Keywords
    fuzzy logic; large-scale systems; modelling; complex systems modeling; fuzzy discretization; fuzzy logic; fuzzy set theory; Clustering algorithms; Clustering methods; Educational programs; Educational technology; Fuzzy logic; Fuzzy sets; Fuzzy systems; Intelligent systems; Mechanical engineering; Modeling;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.484441
  • Filename
    484441