Fuzzy measures and integrals in evaluation of strategies

Authors:
Yasuo Narukawa;Vicenç Torra
Affiliations:
Toho Gakuen, 3-1-10 Naka, Kunitachi, Tokyo 186-0004, Japan;IIIA-CSIC, Campus UAB s/n 08193 Bellaterra, Catalonia, Spain
Venue:
Information Sciences: an International Journal
Year:
2007

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Abstract

Artificial intelligence (AI) techniques have been applied to games for a long time. In this paper, we will explore the use of fuzzy measures and integrals to evaluate strategies in games. We will show their use in decision making when modeling auctions. The paper describes the role of fuzzy measures and integrals in decision making and reviews some computational aspects which are important for building real applications.