Fuzzy Ranking Efficient DMUs in DEA with Fully Fuzzy Common Weight

Several studies determine common weights in DEA, although none of them considers uncertainty in data. In this paper, we introduce a method for solving a fully fuzzy common set of weights. Herein, weights, inputs and outputs are assumed to be fuzzy data. The fully fuzzy models are obtained by solving lexicographically method which leads to fuzzy efficient scores. Afterwards, we have used Fortemos and Roubens functions to rank these scores. A numerical example is solved to prove the method.

کلیدواژه ها:

Data envelopment analysis ، Common set of weights ، Fully fuzzy linear programming ، Ranking function