TY - JOUR ID - 79305 TI - Efficiency distribution and expected efficiencies in DEA with imprecise data JO - Journal of Industrial and Systems Engineering JA - JISE LA - en SN - 1735-8272 AU - Ebrahimi, Bohlool AD - Satellite Research Institute, Iranian Space Research Center, Tehran, Iran Y1 - 2019 PY - 2019 VL - 12 IS - 1 SP - 185 EP - 197 KW - Data Envelopment Analysis (DEA) KW - efficiency measure KW - expected efficiencies KW - imprecise data DO - N2 - Several methods have been proposed for ranking the decision-making units (DMUs) in data envelopment analysis (DEA) with imprecise data. Some methods have only used the upper bound efficiencies to rank DMUs. However, some other methods have considered both of the lower and upper bound efficiencies to rank DMUs. The current paper shows that these methods did not consider the DEA axioms and may be unable to produce a rational ranking. We show that considering the imprecise data as stochastic and using the expected efficiencies to rank DMUs give better results. Indeed, we propose a new ranking approach, based on considering the DEA axioms for imprecise data that removes the existing drawbacks. Some numerical examples are provided to explain the content of the paper. UR - https://www.jise.ir/article_79305.html L1 - https://www.jise.ir/article_79305_33634c30a26090914e0d9793558b3dae.pdf ER -