مشخصات پژوهش

عنوان	A Three-Stage Process for Fuzzy Stochastic Network Data Envelopment Analysis Models
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Data envelopment analysis, Network DEA, Fuzzy random variable, multi-stage methods, Undesirable output.
چکیده	One of the most useful tools in Operations Research (OR) which is essentially applied to evaluate the performance of treated Decision-Making Units (DMUs) is Data Envelopment Analysis (DEA). Because of in the current decades, DEA models have been used and extended in many disciplines and hence attracted much interests. The traditional DEA treats DMUs as black boxes and calculates their efficiencies by considering their initial inputs and their final outputs. Since, in the real situations, input data are included some uncertainties, hence in this study we consider a DEA with fuzzy stochastic data and suggest a three-stage DEA model by taking into account undesirable output. To achieve this aim, an extended probability approach is applied to the reform of three-stage DEA models. Finally, we give an illustrative example by considering a case study on the banking industry.
پژوهشگران	پرستو نیک صفت (نفر دوم)، سید هادی ناصری (نفر اول)