• DocumentCode
    304018
  • Title

    Structure conclusion identification to improve the fuzzy models accuracy

  • Author

    Teghbit, Saliha ; Malvache, Noël ; Willaeys, Didier

  • Author_Institution
    Lab. de Robotique et d´´Intelligence Artificielle, Centre de Dev. des Technol. Avancees, Alger, Algeria
  • Volume
    1
  • fYear
    1996
  • fDate
    8-11 Sep 1996
  • Firstpage
    719
  • Abstract
    The subject deals with the accuracy problems in modeling systems, when the process is linguistically described by a set of rules such as “if the input variable is Ai then the output variable is Bj”. The influence of the fuzzy sets structure on the fuzzy model is studied, and an appropriate representation, such as the margin between the real system and the obtained model reaching its minimal value, is proposed
  • Keywords
    computational linguistics; fuzzy set theory; identification; modelling; optimisation; accuracy; fuzzy models; fuzzy rules; fuzzy set theory; linguistic description; membership functions; optimisation; structure conclusion identification; Chemical technology; Control system synthesis; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Input variables; Mathematical model; Modeling; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-7803-3645-3
  • Type

    conf

  • DOI
    10.1109/FUZZY.1996.551826
  • Filename
    551826
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=304018