Efficiencies of two stage systems with generalized fuzzy data envelopment analysis model

Two-stage DEA (data envelopment analysis) models show the performance of individual processes, and thus are more informative than the conventional one-stage models for making decisions. Fuzzy data envelopment analysis (DEA) models emerge as another class of DEA models to account for imprecise inputs and outputs for decision making units (DMUs). Although several approaches for solving fuzzy DEA models have been developed, numerous deficiencies including the α-cut approaches and types of fuzzy numbers must still be improved. Therefore, the present paper proposes a generalized two-stage DEA model for evaluating efficiency with fuzzy data which can evaluate SDMU.