The Maximal Benefit – Cost Ratio for Fuzzy Data

This paper deals with computing the maximal shares of individuals or organizations based on different criteria for fuzzy data. Suppose that players are selfish. Each player makes any possible efforts to bring about his or her ideal condition. This paper introduces models for computing maximal benefit-cost ratio, for each players with fuzzy data. We deal with linear programming problems with fuzzy parameters from the viewpoint of expert‘s imprecise or fuzzy understanding of the nature of parameters in a problemformulation process and consider fuzzy linear programming games arising from the linear programming problems. Then using these models successful players or coalitions can be obtained.

کلیدواژه ها:

Assurance Region Method ، Data Envelopment Analysis (DEA) ، Fuzzy Game ، Fuzzy Linear Programming Game ، Game Theory ، Weight Selection ، Zero Weight