Finding strong defining hyperplanes of DEA-R-I model
Publish place: 9th National Conference on Data Envelopment Analysis
Publish Year: 1396
Type: Conference paper
Language: English
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Document National Code:
DEA09_050
Index date: 29 November 2017
Finding strong defining hyperplanes of DEA-R-I model abstract
In many applications of DEA data are ratio. Such as fiscal organization and accounting data. There are different point of view to evaluation the DMUs with ratio data. In DEA-R model we consider the ratio between inputs and outputs as independent indexes. In other word according to the suitable orientation we consider the input / output ratios as inputs in input oriented and output / input ratios as outputs in output oriented. There are many studies about DEA-R which consider the efficiency measure and weights interpretation of it. In this paper we proposed the algorithm to find the strong defining hyperplanes of DEA-R model. This study helps to determination the sensitivity analysis of model
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Finding strong defining hyperplanes of DEA-R-I model authors
M Samei
Department of Mathematics, Central Branch, Islamic Azad University, Tehran, Iran
F Hosseinzadeh Lotfi
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran Iran
M.R Mozaffari
Department of Mathematics, Shiraz Branch, Islamic Azad University, Fars, Iran
M Mirzaiyan
Department of Mathematics, Central Branch, Islamic Azad University, Tehran, Iran