Ranking Decision Making Units in Fuzzy-DEA Using Entropy

Abstract Data Envelopment Analysis (DEA) can be regarded as a useful management tool to the assessment evaluation of decision making units (DMUs) using multiple inputs to produce multiple outputs. In some cases, to evaluate the efficiency having imprecise inputs and outputs such as fuzzy or interval data the efficiency of DMUs won’t be exact as well. Most researches have been conducted were based on getting define efficiency and ranking so far. In this paper, the fuzzy efficiency scores of decision making units are counted and the entropy of which is determined and at the same time, they will be ranked from a new view point. To do this, maximum entropy as a special class weighting function is used, and then the fuzzy efficiency of DMUs considering the optimistic level will be computed. At the end, having a numerical example, the concept of method analyzed.