• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Wang, Y.-M. (Wang, Y.-M..) [1] | Chin, K.-S. (Chin, K.-S..) [2]

Indexed by:

Scopus

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:

Data envelopment analysis (DEA); Preference ranking; The least relative efficiency; Voting

Community:

  • [ 1 ] [Wang, Y.-M.]School of Public Administration, Fuzhou University, Fuzhou, 350002, China
  • [ 2 ] [Chin, K.-S.]Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Tat Chee, Kowloon, Hong Kong

Reprint 's Address:

  • [Wang, Y.-M.]School of Public Administration, Fuzhou University, Fuzhou, 350002, China

Show more details

Related Keywords:

Related Article:

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:

SCOPUS Cited Count: 34

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

Affiliated Colleges:

Online/Total:115/10054449
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1