1403/01/10
سید هادی ناصری

سید هادی ناصری

مرتبه علمی: دانشیار
ارکید:
تحصیلات: دکترای تخصصی
اسکاپوس:
دانشکده: دانشکده علوم ریاضی
نشانی:
تلفن: 01135302472

مشخصات پژوهش

عنوان
A New Method for Solving Dual DEA Problems with Fuzzy Stochastic Data
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Data envelopment analysis; fuzzy random variable; normal distribution; banking industry.
سال
2019
مجله International Journal of Information Technology and Decision Making
شناسه DOI
پژوهشگران Ali Ebrahimnejad ، Madjid Tavana ، Seyed Hadi Nasseri ، omid gholami

چکیده

Data envelopment analysis (DEA) is a widely used mathematical programming technique for measuring the relative e±ciency of decision-making units which consume multiple inputs to produce multiple outputs. Although precise input and output data are fundamentally used in classical DEA models, real-life problems often involve uncertainties characterized by fuzzy and/or random input and output data. We present a new input-oriented dual DEA model with fuzzy and random input and output data and propose a deterministic equivalent model with linear constraints to solve the model. The main contributions of this paper are fourfold: (1) we extend the concept of a normal distribution for fuzzy stochastic variables and propose a DEA model for problems characterized by fuzzy stochastic variables; (2) we transform the proposed DEA model with fuzzy stochastic variables into a deterministic equivalent linear form; (3) the proposed model which is linear and always feasible can overcome the nonlinearity and infeasibility in the existing fuzzy stochastic DEA models; (4) we present a case study in the banking industry to exhibit the applicability of the proposed method and feasibility of the obtained solutions.