2002
DOI: 10.1002/int.10038
|View full text |Cite
|
Sign up to set email alerts
|

The uncertain OWA operator

Abstract: The ordered weighted averaging (OWA) operator was introduced by Yager 1 to provide a method for aggregating several inputs that lie between the max and min operators. In this article, we investigate the uncertain OWA operator in which the associated weighting parameters cannot be specified, but value ranges can be obtained and each input argument is given in the form of an interval of numerical values. The problem of ranking a set of interval numbers and obtaining the weights associated with the uncertain OWA … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
221
0

Year Published

2003
2003
2018
2018

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 495 publications
(222 citation statements)
references
References 17 publications
(15 reference statements)
1
221
0
Order By: Relevance
“…The associated LOP2 problem derives the following priority vector is (using MATLAB) [w Applying the possibility degree (PD) to measure the ordering relation between two interval-valued numbers [35], P (a 1 a 2 ) = max 1 − max Using the arithmetic mean operator the following crisp priority vector is obtained: w 1 = 0.3175; w 2 = 0.8750; w 3 = 0.1825; w 4 = 0.6250. Thus, the final ranking of alternatives is A 2 A 4 A 1 A 3 and the best green supplier is A 2 .…”
Section: Numerical Examplementioning
confidence: 99%
“…The associated LOP2 problem derives the following priority vector is (using MATLAB) [w Applying the possibility degree (PD) to measure the ordering relation between two interval-valued numbers [35], P (a 1 a 2 ) = max 1 − max Using the arithmetic mean operator the following crisp priority vector is obtained: w 1 = 0.3175; w 2 = 0.8750; w 3 = 0.1825; w 4 = 0.6250. Thus, the final ranking of alternatives is A 2 A 4 A 1 A 3 and the best green supplier is A 2 .…”
Section: Numerical Examplementioning
confidence: 99%
“…For the sake of brevity, we denote the feasible region-based method as I-CNP_FR and the transitivity based method as I-CNP_T. To compare two interval numbers, we adopt the method proposed by Xu et al [64]. Let a = [a − , a + ] and b = [b − , b + ] be two interval numbers.…”
Section: Numerical Examplesmentioning
confidence: 99%
“…Let a = [a − , a + ] and b = [b − , b + ] be two interval numbers. The degree of possibility that a ≥ b is defined as [64]:…”
Section: Numerical Examplesmentioning
confidence: 99%
“…Given two interval numbers a 1 = [a [48] proposed the following possibility degree (PD) to measure the degree up to which the ordering relation a 1 a 2 holds:…”
Section: Consistency Of Interval-valued Fuzzy Reciprocal Preference Rmentioning
confidence: 99%