• DocumentCode
    3268276
  • Title

    An overview of fuzzy logic

  • Author

    Tanaka, Yokichi

  • Author_Institution
    Togai InfraLogic Inc., Irvine, CA, USA
  • fYear
    1993
  • fDate
    28-30 Sep 1993
  • Firstpage
    446
  • Lastpage
    450
  • Abstract
    In a very simple term, fuzzy logic allows situations or problems to be described and processed in linguistic terms such as “hot” or “heavy” instead of precise numeric values such as “140 degrees” or “180 kg”. Fuzzy logic, in essence, allows one to view problems from a higher linguistic level, thereby enabling less complex problems to be solved more efficiently, and extremely large and complex problems to be solved at all. Because of the many advantages of such a linguistic system, the areas of application of fuzzy logic have spread from consumer electronics to industrial control, information processing, financial analysis and much more in just the past few years
  • Keywords
    fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; knowledge based systems; defuzzification; fuzzy inference; fuzzy logic; fuzzy rule base; fuzzy set theory; linguistic systems; max-min inference; Boolean functions; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Humans; Industrial control; Information analysis; Lifting equipment; Marine vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    WESCON/'93. Conference Record,
  • Conference_Location
    San Francisco, CA
  • ISSN
    1095-791X
  • Print_ISBN
    0-7803-9970-6
  • Type

    conf

  • DOI
    10.1109/WESCON.1993.488475
  • Filename
    488475