Title
Intuitionistic Fuzzy Power Aggregation Operator Based On Entropy And Its Application In Decision Making
Abstract
Atanassov's intuitionistic fuzzy set (IFS) is a generalization of a fuzzy set that can express and process uncertainty much better. There are various averaging operators defined for IFSs. In this paper, a new type of operator called an intuitionistic fuzzy entropy weighted power average ggregation operator is proposed. The entropy among IFSs is taken into consideration to determine the weights. What's more, the similarity is considered to measure the support degree between two elements of the IFS. Compared with other classical power average operators, the proposed operator is completely driven by data and fully takes into account the relationship among values. Finally, an illustrative example of multiple attribute group decision making is presented to show that the proposed operator is effective and practical. (C) 2017 Wiley Periodicals, Inc.
Year
DOI
Venue
2018
10.1002/int.21939
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Field
DocType
Volume
Discrete mathematics,Data mining,Mathematical optimization,Fuzzy logic,Fuzzy entropy,Fuzzy set,Operator (computer programming),Mathematics,Group decision-making
Journal
33
Issue
ISSN
Citations 
1
0884-8173
24
PageRank 
References 
Authors
0.61
34
5
Name
Order
Citations
PageRank
Wen Jiang11115.71
Boya Wei2411.48
Xiang Liu34113.52
Xiaoyang Li45310.12
Hanqing Zheng5250.96