Paper Info
Title
Possibility degree and divergence degree based method for interval-valued intuitionistic fuzzy multi-attribute group decision making.
Abstract
•The possibility degree and divergence degree of IVIFVs are defined to rank IVIFVs.•To derive DMs' weights, an intuitionistic fuzzy linear program is constructed.•An adjusted possibility distribution matrix for each attribute is established.•Attribute weights are determined by the adjusted possibility distribution matrices.•A new method is proposed for interval-valued intuitionistic fuzzy MAGDM.
Year
DOI
Venue
2020
10.1016/j.eswa.2019.112929
Expert Systems with Applications
Keywords
Field
DocType
Interval-valued intuitionistic fuzzy set,Possibility degree,Divergence degree,Multi-attribute group decision making
Data mining,Collective decision,Mathematical optimization,Divergence,Ranking,Matrix (mathematics),Computer science,Fuzzy logic,Operator (computer programming),Possibility distribution,Group decision-making
Journal
Volume
ISSN
Citations 
141
0957-4174
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
feng wang11968.83
Shuping Wan200.34