Title :
Nonlinear programming models and method for interval-valued multiobjective cooperative games
Author :
Fei-Mei Wu ; Deng-Feng Li
Author_Institution :
Dept. of Manage., Minjiang Univ., Fuzhou, China
Abstract :
The purpose of this paper is to develop a nonlinear programming method for solving a type of cooperative games in which there are multiple objectives and coalitions´ values on objectives are expressed with intervals, which are called intervalvalued multiobjective cooperative games for short. In this method, we define the concepts of interval-valued cores of interval-valued multiobjective cooperative games and satisfactory degrees of comparing intervals with inclusion and/or overlap relations. The interval-valued cores can be computed by developing a new two-phase method based on the auxiliary nonlinear programming models. The proposed method can seek cooperative chances under the situations of inclusion and/or overlap relations of intervals in which the traditional interval ranking method may not always assure that the interval-valued cores exist. The feasibility and applicability of the developed method are illustrated with a real example.
Keywords :
game theory; nonlinear programming; auxiliary nonlinear programming method; inclusion relations; interval-valued cores; interval-valued multiobjective cooperative games; overlap relations; two-phase method; Biological system modeling; Companies; Educational institutions; Games; Programming; Supply chains; Technological innovation; cooperative game; core; interval ranking; nonlinear programming; uncertainty;
Conference_Titel :
Computational Intelligence in Multi-Criteria Decision-Making (MCDM), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/MCDM.2014.7007193