Paper Info
Title
Uncertainty Measures Of Interval-Valued Intuitionistic Fuzzy Soft Sets And Their Applications In Decision Making
Abstract
Soft set theory offers a general mathematical tool for dealing with uncertainty. An interval-valued intuitionistic fuzzy soft set is a combination of interval-valued intuitionistic fuzzy set and soft set. The chief aim of this paper is to investigate the decision making based on interval-valued intuitionistic fuzzy soft sets. By means of the uncertainty measures of interval-valued intuitionistic fuzzy soft sets, we develop a novel approach to solve the problems of decision making and give an example to illustrate the developed approach, which demonstrates that our proposed method is more flexible and effective. Furthermore, we present an adjustable approach to weighted interval-valued intuitionistic fuzzy soft sets based decision making problems by using distance measures.
Year
DOI
Venue
2017
10.3233/IDA-150331
INTELLIGENT DATA ANALYSIS
Keywords
Field
DocType
Interval-valued intuitionistic fuzzy soft set, distance measure, similarity measure, inclusion measure, decision making
Computer science,Artificial intelligence,Fuzzy soft set,Machine learning
Journal
Volume
Issue
ISSN
21
1
1088-467X
Citations 
PageRank 
References 
0
0.34
18
Authors
2
Name
Order
Citations
PageRank
Qinrong Feng1475.38
Xiao Guo273.88