BIG BOSS INTERVAL GAMES

Author:

ALPARSLAN GÖK S. Z.1,BRANZEI R.2,TIJS S.3

Affiliation:

1. Süleyman Demirel University, Faculty of Arts and Sciences, Department of Mathematics, 32 260 Isparta, Turkey

2. Faculty of Computer Science, "Alexandru Ioan Cuza" University, Iaşi, Romania

3. CentER and Department of Econometrics and OR, Tilburg University, Tilburg, The Netherlands

Abstract

This paper introduces and studies a class of cooperative interval games suitable to model market situations with two corners where players face interval uncertainty regarding the outcome of cooperation. In one corner there is a powerful player called the big boss; the other corner contains players that need the big boss to benefit from cooperation. Various characterizations of big boss interval games are given. The interval core of a big boss interval game is explicitly described, bi-monotonic allocation schemes using interval core elements are introduced, and it is shown that each element of the interval core of a big boss interval game is extendable to such a scheme. Two value-type interval solution concepts are defined on the class of big boss interval games which generate for each such game the same interval core allocation which is extendable to a bi-monotonic interval allocation scheme.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On big boss fuzzy interval games;European Journal of Operational Research;2023-05

2. On the fuzzy interval equal surplus sharing solutions;Kybernetes;2021-08-10

3. Uncertainty in Information Market Games;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2020-08-28

4. Cooperative interval games: Mountain situations with interval data;Journal of Computational and Applied Mathematics;2014-03

5. A CONSISTENT IMPUTATION GENERATION METHOD FOR LINGUISTIC COOPERATIVE GAMES AND ITS APPLICATION TO RISK AVERSION;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2012-06

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