• DocumentCode
    843232
  • Title

    Type-2 FLCs: A New Generation of Fuzzy Controllers

  • Author

    Hagras, Hani

  • Author_Institution
    Essex Univ., Colchester
  • Volume
    2
  • Issue
    1
  • fYear
    2007
  • Firstpage
    30
  • Lastpage
    43
  • Abstract
    Type-1 fuzzy logic controllers (FLCs) have been applied to date with great success to many different applications. However, for dynamic unstructured environments and many real-world applications, there is a need to cope with large amounts of uncertainties. The traditional type-1 FLC using crisp type-1 fuzzy sets cannot directly handle such uncertainties. A type-2 FLC using type-2 fuzzy sets can handle such uncertainties to produce a better performance. Hence, type-2 FLCs will have the potential to overcome the limitations of type-1 FLCs and produce a new generation of fuzzy controllers with improved performance for many applications, which require handling high levels of uncertainty. This paper introduces briefly the interval type-2 FLC and its benefits. We also present briefly the type-2 FLC application to three challenging domains: industrial control, mobile robots control and ambient intelligent environments control
  • Keywords
    fuzzy control; fuzzy logic; fuzzy set theory; industrial control; intelligent control; mobile robots; ambient intelligent environment control; industrial control; mobile robot control; type-1 fuzzy logic controllers; type-1 fuzzy sets; type-2 fuzzy logic controllers; type-2 fuzzy sets; Ambient intelligence; Fuzzy control; Fuzzy logic; Fuzzy sets; Industrial control; Intelligent control; Intelligent robots; Mobile robots; Robot control; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2007.357192
  • Filename
    4195040