Deviation measures of linguistic preference relations in group decision making
Zeshui Xu
Omega, 2005, vol. 33, issue 3, 249-254
Abstract:
In this paper, we study the group decision making problem with linguistic preference relations. We first show that the weighted combination of A1,A2,...,Am is linguistic preference relation under the condition that all of A1,A2,...,Am are linguistic preference relations. Then we define the concepts of deviation degree and similarity degree between two linguistic values, and deviation degree and similarity degree between two linguistic preference relations. We also show that the deviation degree between linguistic preference relation Ai of A1,A2,...,Am and their group linguistic preference relation is no greater than the largest deviation degree between the linguistic preference relation Ai and each of the linguistic preference relations A1,A2,...,Am. Thus, a theoretic basis has been established for the application of linguistic preference relations in group decision making.
Keywords: Linguistic; variable; Linguistic; preference; relation; Deviation; degree; Similarity; degree; Group; decision; making; Operational; laws (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (61)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305-0483(04)00069-6
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:33:y:2005:i:3:p:249-254
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Omega is currently edited by B. Lev
More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().