Discriminating DEA efficient candidates by considering their least relative total scores - Details

author：

Wang, Ying-Ming (Wang, Ying-Ming.) ^[1] | Chin, Kwai-Sang (Chin, Kwai-Sang.) ^[2]

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Abstract：

Data　envelopment　analysis　very　often　identifies　more　than　one　candidate　in　a　voting　system　to　be　DEA　efficient.　In　order　to　choose　a　winner　from　among　the　DEA　efficient　candidates,　this　paper　proposes　a　new　method　that　discriminates　the　DEA　efficient　candidates　by　considering　their　least　relative　total　scores.　The　proposed　method　is　illustrated　with　two　numerical　examples　and　proves　to　be　effective　and　practical.　©　2006　Elsevier　B.V.　All　rights　reserved.

Keyword：

Computational methods Data envelopment analysis Numerical methods Voting machines

Community：

[ 1 ] [Wang, Ying-Ming]School of Public Administration, Fuzhou University, Fuzhou, 350002, China
[ 2 ] [Chin, Kwai-Sang]Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Tat Chee, Kowloon, Hong Kong

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Email：

msymwang@hotmail.com

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Source ：

Journal of Computational and Applied Mathematics

ISSN： 0377-0427

Year： 2007

Issue： 1

Volume： 206

Page： 209-215

0 . 9 4 3

JCR@2007

2 . 1 0 0

JCR@2023

JCR Journal Grade：2

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 34

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 5

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