2014
DOI: 10.1016/j.fss.2013.07.010
|View full text |Cite
|
Sign up to set email alerts
|

A group decision making model based on a generalized ordered weighted geometric average operator with interval preference matrices

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
34
0
1

Year Published

2014
2014
2019
2019

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 62 publications
(35 citation statements)
references
References 35 publications
0
34
0
1
Order By: Relevance
“…Then, determine whether the interval priority vector derived from this method is suitable to rank alternatives. It is worth noting that all studies [43,44] based on this method have this issue.…”
Section: Some Conceptsmentioning
confidence: 99%
See 1 more Smart Citation
“…Then, determine whether the interval priority vector derived from this method is suitable to rank alternatives. It is worth noting that all studies [43,44] based on this method have this issue.…”
Section: Some Conceptsmentioning
confidence: 99%
“…It is worth noting that this acceptable consistency only holds for the expert having the same risk preference for all of his/her interval judgments. Following the works of Liu [41] and Liu and Lan [42], Liu et al [43] researched the interval priority vector from incomplete interval multiplicative preference relations using the building model, and Liu et al [44] developed a group decision-making model for interval additive preference relations by considering the associated interval multiplicative preference relation. Very recently, Dong and Herrera-Viedma [45] introduced a novel and interesting method to address group decision making with linguistic information.…”
Section: Introductionmentioning
confidence: 99%
“…In [15], an automatic contingency selection approach was proposed, based on DC power flow calculations using affine arithmetic and considering load and generation uncertainties. Interval algorithms including interval matrices [16][17][18], interval models [19], and interval optimization algorithms [20] have presented, and applied in various power system applications [21][22][23][24][25][26]. In [27], the interval entropy (IE) method was applied in financial engineering analysis to assess the predictability of finance markets; it has potential for power system applications.…”
Section: Introductionmentioning
confidence: 99%
“…In the next part of this paper we will explore reciprocal properties. Considering decision making problems in the interval fuzzy environment [8,18,21,33] we deal with the inite set of alternatives and an expert providing his/her preference information over alternatives. In the sequel, we will consider a preference relation on a inite set which makes it possible to represent interval-valued fuzzy relations by matrices = [ , ].…”
Section: Introduc Onmentioning
confidence: 99%