• DocumentCode
    1558515
  • Title

    Type-2 Fuzzy Logic: Challenges and Misconceptions [Discussion Forum]

  • Author

    John, Robert ; Coupland, Simon

  • Author_Institution
    Centre for Comput. Intell., De Montfort Univ., Leicester, UK
  • Volume
    7
  • Issue
    3
  • fYear
    2012
  • Firstpage
    48
  • Lastpage
    52
  • Abstract
    This material is based on contributions by a number of people including Janet Aisbett, Humberto Bustince, Oscar Castillo, Jonathan M. Garibaldi, Hani Hagras, Vladik Kreinovich, Jerry M. Mendel, Frank Rhee, Terry Rickard, Woei Wan Tan and Christian Wagner including notably discussions at a Panel Session at the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems organized by Garibaldi, Hagras and Rhee. This paper focuses on the challenges of theoretical underpinning including notation, learning type-2 sets and systems and broadening the areas where type-2 system are applied. The misconceptions we discuss are around computational performance of type-2 systems and notion that type-2 systems are intended to replace type-1 fuzzy systems.
  • Keywords
    fuzzy logic; fuzzy set theory; learning (artificial intelligence); type-2 fuzzy logic systems; type-2 sets learning; Fuzzy logic; Performance evaluation;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2012.2200632
  • Filename
    6244688