• DocumentCode
    1602681
  • Title

    Fuzzy rule-based models: decision-making vs control

  • Author

    Piskounov, A.

  • Author_Institution
    Jonkoping Int. Bus. Sch., Sweden
  • Volume
    1
  • fYear
    2003
  • Firstpage
    96
  • Abstract
    Fuzzy rule-based models play an important role both in control and decision-making. In the latter case because of decision-maker involvement, fuzzy inputs and outputs not only allowed but also required. In spite of such differences of these two problems rule-based models for decision-making are designed and implemented in the same way as in control. Some issues specific for rule-based decision-making models are discussed, including rule-base consistency.
  • Keywords
    decision making; fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; interpolation; knowledge based systems; modelling; complexity; crisp values; decision making; fuzzy control; fuzzy logic; fuzzy modelling; fuzzy rule-based models; interpolation principle; rule-base consistency; Algorithm design and analysis; Control systems; Decision making; Delta modulation; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Knowledge engineering; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
  • Print_ISBN
    0-7803-7810-5
  • Type

    conf

  • DOI
    10.1109/FUZZ.2003.1209344
  • Filename
    1209344