Paper Info
Title
Distance Based Entropy Measure of Interval-Valued Intuitionistic Fuzzy Sets and Its Application in Multicriteria Decision Making
Abstract
AbstractFuzzy entropy means the measurement of fuzziness in a fuzzy set and therefore plays a vital role in solving the fuzzy multicriteria decision making (MCDM) and multicriteria group decision making (MCGDM) problems. In this study, the notion of the measure of distance based entropy for uncertain information in the context of interval-valued intuitionistic fuzzy set (IVIFS) is introduced. The arithmetic and geometric average operators are firstly used to aggregate the interval-valued intuitionistic fuzzy information provided by the decision makers (DMs) or experts corresponding to each alternative, and then the fuzzy entropy of each alternative is calculated based on proposed distance measure. Several numerical examples are solved to demonstrate the application to MCDM and MCGDM problems to show the effectiveness of the proposed approach.
Year
DOI
Venue
2018
10.1155/2018/3637897
Periodicals
Field
DocType
Volume
Mathematical optimization,Multiple-criteria decision analysis,Fuzzy logic,Fuzzy set,Fuzzy entropy,Operator (computer programming),Artificial intelligence,Geometric mean,Machine learning,Mathematics,Group decision-making
Journal
2018
Issue
ISSN
Citations 
1
1687-7101
0
PageRank 
References 
Authors
0.34
23
3
Name
Order
Citations
PageRank
Tabasam Rashid125519.40
Shahzad Faizi2171.37
Sohail Zafar3223.17