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Egalitarianism in convex fuzzy games

Author

Listed:
  • Brânzei, Rodica

    (Center for Mathematical Economics, Bielefeld University)

  • Dimitrov, Dinko

    (Center for Mathematical Economics, Bielefeld University)

  • Tijs, Stef

    (Center for Mathematical Economics, Bielefeld University)

Abstract

In this paper the egalitarian solution for convex cooperative fuzzy games is introduced.The classical Dutta-Ray algorithm for finding the constrained egalitarian solution for convex crisp games is adjusted to provide the egalitarian solution of a convex fuzzy game.This adjusted algorithm is also a finite algorithm, because the convexity of a fuzzy game implies in each step the existence of a maximal element which corresponds to a crisp coalition.For arbitrary fuzzy games the equal division core is introduced.It turns out that both the equal division core and the egalitariansolution of a convex fuzzy game coincide with the corresponding equal division core and the constrained egalitarian solution, respectively, of the related crisp game.
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Suggested Citation

  • Brânzei, Rodica & Dimitrov, Dinko & Tijs, Stef, 2017. "Egalitarianism in convex fuzzy games," Center for Mathematical Economics Working Papers 337, Center for Mathematical Economics, Bielefeld University.
  • Handle: RePEc:bie:wpaper:337
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    File URL: https://pub.uni-bielefeld.de/download/2911424/2911425
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    Cited by:

    1. is not listed on IDEAS
    2. Cori Vilella & Carles Rafels, 2015. "Proportional Share Analysis," Working Papers 218, Barcelona School of Economics.
    3. Carles Rafels & Cori Vilella, 2007. "Proportional share analysis," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(2), pages 341-354, December.
    4. Stef Tijs & Rodica Brânzei, 2004. "Various characterizations of convex fuzzy games," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(2), pages 399-408, December.
    5. Branzei, R. & Tijs, S. & Zarzuelo, J., 2009. "Convex multi-choice games: Characterizations and monotonic allocation schemes," European Journal of Operational Research, Elsevier, vol. 198(2), pages 571-575, October.
    6. Yu-Hsien Liao, 2017. "Fuzzy games: a complement-consistent solution, axiomatizations and dynamic approaches," Fuzzy Optimization and Decision Making, Springer, vol. 16(3), pages 257-268, September.

    More about this item

    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games

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