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An Optimization Model for Solving Stochastic Cooperative Games

  • Assem Tharwat
  • Marwa Sabry
  • Ihab El-Khodary
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)

Abstract

This paper introduces an optimization model for a new class of cooperative games arising from cooperative decision making problems in a stochastic environment. This class of games considers cooperative games in stochastic characteristic function form (stochastic payoffs). In this type of games, the players only know probability distribution of the stochastic payoffs and the actions available for a coalition to choose from are explicitly modelled as opposed to the deterministic games. In this model, the core of the game is not empty, where the solution allocation vector of the corresponding payoff is preferable over any other allocation. The proposed model is applied to the Gaussian valued cooperative games.

Keywords

Cooperative games Stochastic Gaussian Fuzzy Coalition 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.College of Business AdministrationAmerican University in the EmiratesDubaiUAE
  2. 2.Faculty of Computers and InformationCairo UniversityGizaEgypt

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