A robust credibility DEA model with fuzzy perturbation degree: An application to hospitals performance

Performance evaluation enables decision makers (DMs) to have a better view about the weaknesses and strengths of leading units improve efficiencies as crucial goal. Data envelopment analysis (DEA) is most popular technique measure performance efficiency making (DMUs). However, conventional DEA unable consider uncertainty input output data in evaluations. In this study, order address data, robust credibility (RCDEA) model has been introduced. First, fuzzy approach used construct data. Then, optimization applied constructing sets. Moreover, perturbation level considered exact values. To illustrate capability proposed model, 28 hospitals are evaluated northwestern region Iran results analyzed. According results, degree increases, DMUs get normalized lower vise-versa.