coalitional game with fuzzy payoffs and credibilistic shapley value

Authors

jinwu gao

q. zhang

p. shen

abstract

coalitional game deals with situations that involve cooperations among players, and there are different solution concepts such as the core,the shapley value and the kernel. in many situations, there is no way to predict the payoff functions except for the expert experiencesand subjective intuitions, which leads to the coalitional game with fuzzy payoffs. within the framework of credibility theory, this paper employstwo credibilistic approaches to define the behaviors of players under fuzzy situations. correspondingly, two variations of shapley value areproposed as the solutions of the coalitional game with fuzzy payoffs. meanwhile, some characterizations of the credibilistic shapley valueare investigated. finally, an example is provided for illustrating the usefulness of the theory developed in this paper.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

COALITIONAL GAME WITH FUZZY PAYOFFS AND CREDIBILISTIC SHAPLEY VALUE

Coalitional game deals with situations that involve cooperations among players, and there are different solution concepts such as the core,the Shapley value and the kernel. In many situations, there is no way to predict the payoff functions except for the expert experiencesand subjective intuitions, which leads to the coalitional game with fuzzy payoffs. Within the framework of credibility theo...

full text

Credibilistic Equilibria in Extensive Game with Fuzzy Payoffs

This paper originally considers the finite extensive game with fuzzy payoffs. Three credibilistic approaches are introduced to define the behaviors of players in different decision situations. Accordingly, three types of credibilistic equilibria for the fuzzy extensive game are proposed. Moreover, theorems are given to confirm the existence of these new equilibria in fuzzy extensive game. At th...

full text

Credibilistic Game with Fuzzy Information∗

Harsanyi’s work on games with incomplete information is by use of probabilistic approach and constitutes one of the most important developments in game theory. This paper presents a spectrum of credibilistic game, in which the incomplete information is interpreted as fuzzy variables and processed via credibilistic approach. As the leadoff, a strategic game with fuzzy payoffs is discussed by pre...

full text

Multiobjective security game with fuzzy payoffs

A multiobjective security game problem with fuzzy payoffs is studied in this paper. The problem is formulated as a bilevel programming problem with fuzzy coefficients. Using the idea of nearest interval approximation of fuzzy numbers, the problem is transformed into a bilevel programming problem with interval coefficients. The Karush-Kuhn-Tucker conditions is applied then to reduce the problem ...

full text

Computing Shapley Value in Supermodular Coalitional Games

Coalitional games allow subsets (coalitions) of players to cooperate to receive a collective payoff. This payoff is then distributed “fairly” among the members of that coalition according to some division scheme. Various solution concepts have been proposed as reasonable schemes for generating fair allocations. The Shapley value is one classic solution concept: player i’s share is precisely equ...

full text

Uncertain Core for Coalitional Game with Uncertain Payoffs

Coalitional game deals with situations that involve cooperations among the players. There are different solution concepts such as core, Shapley value and nucleolus. This paper investigates uncertain coalitional game in which the payoffs are uncertain variables. Within the framework of uncertainty theory, two definitions of uncertain core are proposed. Meanwhile, a sufficient and necessary condi...

full text

My Resources

Save resource for easier access later


Journal title:
iranian journal of fuzzy systems

Publisher: university of sistan and baluchestan

ISSN 1735-0654

volume 8

issue 4 2011

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023