A novel fuzzy network ASBM approach based on DEA and DEA-R models for efficiency measurement in oil refineries

In this study, we develop fuzzy network data envelopment analysis (DEA) models based on the additive slacks-based measure (ASBM) model in the presence of undesirable output. In the real world, we encounter many cases where the data are inaccurate and ratios are involved simultaneously. In this regard, we propose two new models to evaluate the efficiency of decision making units (DMUs) with a three-stage network structure in the presence of fuzzy inputs and outputs based on DEA and DEA-R models, by selecting two different strategies, external and internal. In the following, we apply the proposed approach to evaluate a set of oil refineries in Iran, and we present the results of the research.