• DocumentCode
    408360
  • Title

    Fuzzy measures and integrals for evaluating strategies

  • Author

    Narukawa, Yasuo ; Torra, Vicenc

  • Volume
    2
  • fYear
    2004
  • fDate
    5-7 April 2004
  • Firstpage
    162
  • Abstract
    AI techniques have been applied in games since the beginning of the field. Fuzzy measures and fuzzy integrals, a powerful tool for decision making, have potentiality in games for the evaluation of strategies. We explore the use of such soft computing techniques and show their interest in decision making and modeling auctions. We describe the role of fuzzy measures and integrals in decision making and reviews some computational aspects that are important for the application of such methods in real applications. We also gives a short overview on the methods for learning the parameters for these integrals from examples.
  • Keywords
    artificial intelligence; computational complexity; decision making; fuzzy set theory; game theory; AI techniques; Choquet integral; Sugeno integral; decision making; fuzzy measures; fuzzy set theory; games theory; soft computing techniques; Artificial intelligence; Character generation; Computational efficiency; Decision making; Decision theory; Fuzzy set theory; Fuzzy sets; Game theory; Learning; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
  • Print_ISBN
    0-7695-2108-8
  • Type

    conf

  • DOI
    10.1109/ITCC.2004.1286623
  • Filename
    1286623