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Elements of Fuzzy Game Theory

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Fuzzy Sets in Decision Analysis, Operations Research and Statistics

Part of the book series: The Handbooks of Fuzzy Sets Series ((FSHS,volume 1))

Abstract

This chapter presents in a first section the intuitional relationships between games and fuzziness; then, in a second section, we propose some arguments to justify and illustrate the two main concepts of fuzzy information and fuzzy coalition, on which cooperative and noncooperative analyses are founded; next, in the two following sections, we develop the noncooperative framework essentially from Butnariu’s contributions, gathering the literature and presenting the results, and finally the cooperative model essentially from Aubin’s works, Hüsseinov’s and Billot’s.

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Authors
  1. Antoine Billot
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Editor information

Editors and Affiliations

  1. Poznań University of Technology, Poland

    Roman Słowiński

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© 1998 Springer Science+Business Media New York

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Billot, A. (1998). Elements of Fuzzy Game Theory. In: Słowiński, R. (eds) Fuzzy Sets in Decision Analysis, Operations Research and Statistics. The Handbooks of Fuzzy Sets Series, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5645-9_5

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  • DOI: https://doi.org/10.1007/978-1-4615-5645-9_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7583-8

  • Online ISBN: 978-1-4615-5645-9

  • eBook Packages: Springer Book Archive

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