Paper Info
Title
A novel risk attitudinal ranking method for intuitionistic fuzzy values and application to MADM.
Abstract
•The amount of information of an IFS is characterized by the closeness degree.•The area of triangle is calculated to measure reliability of information of an IFS.•It is proved that the closeness degree and triangle area just form an interval.•A novel risk attitudinal measure is developed to rank IFS by C-OWA operator.•Attributes weights are derived by constructing multi-objective fractional programming model.
Year
DOI
Venue
2016
10.1016/j.asoc.2015.11.022
Applied Soft Computing
Keywords
Field
DocType
Intuitionistic fuzzy sets,Multi-attribute decision making,Technique for order preference by similarity to ideal solution,Fractional programming,Risk attitude
Data mining,Mathematical optimization,Ranking,Closeness,Fuzzy logic,Fuzzy set,Linear programming,Lexicographical order,TOPSIS,Fractional programming,Mathematics
Journal
Volume
Issue
ISSN
40
C
1568-4946
Citations 
PageRank 
References 
11
0.45
31
Authors
3
Name
Order
Citations
PageRank
Shu-Ping Wan127912.98
feng wang21968.83
Jiu-Ying Dong348327.28