Proposing a New model to Predict Performance of Decision Making Units Based on Fuzzy stochastic Data Envelopment Analysis

Subject Areas : مدیریت

Ali  Yaghoubi ¹ (Assistant Professor, Department of Industrial Engineering, Raja University, Qazvin, Iran)
Elham  qobadi ² (M.A., Department of Industrial Engineering, Raja University, Qazvin, Iran)

Received: 2020-10-19 Accepted : 2020-10-19 Published : 2019-02-20

Keywords: Stochastic Data envelopment analysis, performance, Fuzzy, Decision Making Units,

Abstract :

One of the most important tools for calculating the performance of the decision making units (DMUs) is the quantitative and powerful Data Envelopment Analysis (DEA) technique which uses the past inputs and outputs of DMUs. Inability to estimate performance, using of definite inputs and outputs and inappropriate distribution of weights to inputs and outputs are the weaknesses of DEA. While in the real world, the DMUs are faced with more random parameters. So, this paper presents a new model to predict efficiency of DMUs based on stochastic data envelopment analysis in fuzzy environment, in which by integrating the random effects of environmental factors on inputs and outputs to resolve the problems. Finally, this paper presents a real application of the proposed model in banking industry for predicting the efficiency of branches. The results will be compared with the real efficiencies of branches. The high correlation between predicted and actual results indicates the accuracy of the proposed model.