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author:

Wang, Ying-Ming (Wang, Ying-Ming.) [1] (Scholars:王应明) | Chin, Kwai-Sang (Chin, Kwai-Sang.) [2]

Indexed by:

EI Scopus SCIE

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. (c) 2006 Elsevier B.V. All rights reserved.

Keyword:

data envelopment analysis (DEA) preference ranking the least relative efficiency voting

Community:

  • [ 1 ] Fuzhou Univ, Sch Publ Adm, Fuzhou 350002, Peoples R China
  • [ 2 ] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Peoples R China

Reprint 's Address:

  • 王应明

    [Wang, Ying-Ming]Fuzhou Univ, Sch Publ Adm, Fuzhou 350002, Peoples R China

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Version:

Related Keywords:

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

ESI Discipline: MATHEMATICS;

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count: 30

SCOPUS Cited Count: 34

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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