A new model of fuzzy two-stage data envelopment analysis with variable-return to scale

One of the best tools to evaluate the performance is DEA technique. Data envelopment analysis technique is a tool for ranking and identifying efficient and inefficient units. Since, in many cases, the decision-making units in organization have an intermediate (middle values) and also in some cases the real world, available values for inputs and outputs are obscure (ambiguous) and uncertain, and using classic data envelopment model does not reach us to a certain result. Also, return on the scale is a very important argument in data envelopment analysis and economics and can provide us with useful information about the status of the decision-maker units.In this paper, we present a new model for fuzzy two-stage data envelopment analysis and to evaluate this efficiency, we study the efficiency of industrial workshops between 10 and 49 employees. The efficiency of industrial workshops is evaluated by province. The results are the importance of the proposed model.