Two-stage DEA with Fuzzy Data

Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

DEA06_044

تاریخ نمایه سازی: 16 خرداد 1394

Abstract:

Data envelopment analysis is a nonparametric technique checking efficiency of DMUs using math programming. In conventional DEA, it has been assumed that the status of each measure is clearly known as either input or output. Kao and Hwang (2008) develop a data envelopment analysis (DEA) approach for measuring efficiency of decision processes which can be divided into two stages. The first stage uses inputs to generate outputs which become the inputs to the second stage. The first stage outputs are referred to as intermediate measures. The second stage then uses these intermediate measures to produce outputs. The data are crisp in the standard DEA model whereas there are many problems in the real life that data may be uncertain. Thus, in this paper, a fuzzy version of two-stage DEA model with a symmetrical triangular fuzzy number is presented. The basic idea is to transform the fuzzy model into crisp linear programming by using a-cut approach. Finally, a numerical example is proposed to display the application of this method.

Keywords:

Data Envelopment Analysis (DEA) , Fuzzy Data , Two-stage DEA

Authors

Mehrdad Nabahat

Sama Technical and Vocational Training College Islamic Azad University, Urmia branch Urmia, Iran