Efficiency Evaluation using DEA in a Fuzzy Environment

Data envelopment analysis (DEA) is a considerable mathematical programming technique for measuring the relative efficiencies of a set of decision making units (DMUs) with multiple inputs and multiple outputs. The conventional are basically limited to definite input and output data. However, real applications of production process potentially consist of many ambiguous and vague factors. This paper carries out a research on DEA in the fully imprecise environment where input and output data and variables are fuzzy numbers. We present a fully fuzzified linear programming problem to gain the fuzzy efficiency scores for assessing DMUs. We ultimately present a numerical example to demonstrate the applicability of the developed method.