Inverse DEA-R by Using of the Frontier Changes
Publish place: 9th National Conference on Data Envelopment Analysis
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
DEA09_092
تاریخ نمایه سازی: 8 آذر 1396
Abstract:
Inverse data envelopment analysis is an optimization problem to determine the optimal levels of inputs and outputs. We suppose that the efficiency level of observed decision-making units will not change within the period of interest. It happens a lot in the real world that we have to deal with ratio data, and we can no longer use the conventional DEA models to evaluate efficiency in these situations. In this research, we aim to extend Inverse DEA models to ratio data. For this purpose, we change the production frontier to gain the new target setting. We show the presented approach validity with an application example and present our results in the end.
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Authors
J Gerami
Department of Mathematics, Shiraz Branch, Islamic Azad University, Shiraz , Iran