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
Link To Document :
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