Modified Minimal Cost - Benefit Ratio for Fuzzy Data

This paper deals with computing the minimal and 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 minimal cost-benefit ratio, for each player and their coalitions for fuzzy data. We deal with problems with fuzzy parameters from the viewpoint of expert’s imprecise or fuzzy understanding of the nature of parameters in a problem- formulation process. Then using these models successful players or coalitions can be obtained.

Keywords:

Envelopment Analysis (DEA) , Fuzzy Game , Game Theory , Weight Selection