A generalized super-efficiency in fuzzy data envelopment analysis

Abstract One of the research methods for evaluating data envelopment analysis is general efficiency and identifying ranks and estimating inefficient values at inputs and outputs. Various models have been introduced for ranking efficient units. LJK and Super SBM models are presented for ranking efficient units. In these methods, decision making units the fuzzy sample cannot be evaluated. The purpose of this paper is to present these models with fuzzy data. We first show several features of these models and then compare them. And we show that the Fuzzy Super SBM model is superior for easier and simpler solutions, and our model is superior for solving the shortcomings. Then we show with a few examples the fuzzy LJk model can be impossible or unstable while the fuzzy Super SBM model is achievable and stable. Mathematics Subject Classification (2020) 90C90 · 90C70