Measuring Overall Profit Efficiency with Fuzzy Data

Data envelopment analysis (dea) is a technique for measuring the efficiency of a set of decision making units (dmus) with common data, but in general it is not practical. this paper presents a framework where dea is used to measure overall profit efficiency with fuzzy data. specifically, it is shown that as the inputs, outputs and price vectors are fuzzy numbers, the dmus cannot be easily evaluated. thus, presenting a new method for computing the efficiency of dmus with fuzzy data will be benefic. also, it presents where dea is used to measure overall profit of efficiency with interval and fuzzy inputs and outputs and an interval will be defined for the efficiency. the proposed method give the best and the worst overall profit efficiency for dmus. the method is illustrated by solving numerical examples.