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[期刊论文]

Optimal aggregation of fuzzy preference relations with an application to broadband internet service selection

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author:

Wang, Ying-Ming (Wang, Ying-Ming.) [1] (Scholars:王应明) | Parkan, Celik (Parkan, Celik.) [2]

Indexed by:

CPCI-S EI Scopus SCIE

Abstract:

This paper investigates the aggregation of multiple fuzzy preference relations into a collective fuzzy preference relation in fuzzy group decision analysis and proposes an optimization based aggregation approach to assess the relative importance weights of the multiple fuzzy preference relations. The proposed approach that is analytical in nature assesses the weights by minimizing the sum of squared distances between any two weighted fuzzy preference relations. Relevant theorems are offered in support of the proposed approach. Multiplicative preference relations are also incorporated into the approach using an appropriate transformation technique. An eigenvector method is introduced to derive the priorities from the collective fuzzy preference relation. The proposed aggregation approach is tested using two numerical examples. A third example involving broadband internet service selection is offered to illustrate that the proposed aggregation approach provides a simple, effective and practical way of aggregating multiple fuzzy preference relations in real-life situations. (c) 2006 Elsevier B.V. All rights reserved.

Keyword:

aggregation of fuzzy preference relations broadband internet access selection fuzzy group decision analysis fuzzy preference relation multiplicative preference relation

Community:

  • [ 1 ] [Wang, Ying-Ming]Fuzhou Univ, Sch Publ Adm, Fuzhou 350002, Peoples R China
  • [ 2 ] [Wang, Ying-Ming]Univ Manchester, Manchester Business Sch, Manchester M60 1QD, Lancs, England
  • [ 3 ] [Parkan, Celik]Long Isl Univ, Dept Management, Brookville, NY 11548 USA

Reprint 's Address:

  • 王应明

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

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Source :

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

ISSN: 0377-2217

Year: 2008

Issue: 3

Volume: 187

Page: 1476-1486

1 . 6 2 7

JCR@2008

6 . 0 0 0

JCR@2023

ESI Discipline: ENGINEERING;

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 30

SCOPUS Cited Count: 37

30 Days PV: 0

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