Annals of Operations Research, Volume (226), No (1), Year (2014-10) , Pages (505-525)

Title : ( Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis )

Authors: Seyed Ali Rakhshan , Ali Vahidian Kamyad , Sohrab Effati ,

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All the basic models in data envelopment analysis (DEA) divide decision making units (DMUs) in two groups: efficient DMUs and inefficient DMUs, and lack of discrimination of efficient units is a serious problem. Also in spite of completely ranking units in analytical hierarchy process (AHP), the process of making pairwise comparison matrix is based on experts’ choices and it causes error and inconsistency in resulted matrix. In this paper first a combined method is suggested for ranking the units and it will use benefits of both AHP and DEA methods to present a rational ranking, also will covers the problem of last methods noticeably and then properties and advantages of suggested method compare with another methods will be explained. Finally, for better comparison some numerical examples will be explained.

Keywords

, DEA, AHP, Decision making units (DMUs), Tchebychev model (TCH), Analytic hierarchy process/data envelopment analysis (AHP/DEA), AHP/TCH
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@article{paperid:1043748,
author = {Rakhshan, Seyed Ali and Vahidian Kamyad, Ali and Effati, Sohrab},
title = {Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis},
journal = {Annals of Operations Research},
year = {2014},
volume = {226},
number = {1},
month = {October},
issn = {0254-5330},
pages = {505--525},
numpages = {20},
keywords = {DEA; AHP; Decision making units (DMUs); Tchebychev model (TCH); Analytic hierarchy process/data envelopment analysis (AHP/DEA); AHP/TCH Method},
}

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%0 Journal Article
%T Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis
%A Rakhshan, Seyed Ali
%A Vahidian Kamyad, Ali
%A Effati, Sohrab
%J Annals of Operations Research
%@ 0254-5330
%D 2014

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