Finding a Common Set of Weights by the Fuzzy Entropy Compared with Data Envelopment Analysis - A Case Study

A data envelopment analysis (dea) method can be regarded as a useful management tool to evaluate decision making units (dmus) using multiple inputs and outputs. in some cases, we face with imprecise inputs and outputs, such as fuzzy or interval data, so the efficiency of dmus will not be exact. most researchers have been interested in getting efficiency and ranking dmus recently. models of the traditional dea can not provide a completely ranking of efficient units; however, it can just distinguish between efficient and inefficient units. in this paper, the efficiency scores of dmus are computed by a fuzzy ccr model and the fuzzy entropy of dmus. then these units are ranked and compared with two foregoing procedures. to do this, the fuzzy entropy based on common set of weights (csw) is used. furthermore, the fuzzy efficiency of dmus considering the optimistic level is computed. finally, a numerical example taken from a real-case study is considered and the related concept is analyzed.