Paper Info
Title
Ranking fuzzy numbers based on epsilon-deviation degree.
Abstract
•An epsilon-deviation degree approach based on deviation degree is proposed.•Overcome the shortcomings of the left and right deviation degree becoming worthless.•Tackle the conflict between ranking order of fuzzy numbers and that of their images.•An optimism index is employed for ranking symmetric fuzzy numbers effectively.
Year
DOI
Venue
2013
10.1016/j.asoc.2013.03.016
Applied Soft Computing
Keywords
Field
DocType
Ranking fuzzy numbers,Centroid,Area,Decision making
Data mining,Ranking fuzzy numbers,Computer science,Artificial intelligence,Machine learning
Journal
Volume
Issue
ISSN
13
8
1568-4946
Citations 
PageRank 
References 
17
0.66
24
Authors
3
Name
Order
Citations
PageRank
Vincent F. Yu142427.32
Ha Thi Xuan Chi2211.39
Chien-wen Shen3584.51