Paper Info
Title
Interval neutrosophic hesitant fuzzy Einstein Choquet integral operator for multicriteria decision making
Abstract
Recently interval neutrosophic hesitant fuzzy sets are found to be more general and useful to express incomplete, indeterminate and inconsistent information. In this paper, we define some new Einstein operational rules on interval neutrosophic hesitant fuzzy elements, then we propose the interval neutrosophic hesitant fuzzy Einstein Choquet integral (INHFECI) operator and discuss its properties. Further, an approach for multicriteria decision making is developed to study the interaction between the input arguments under the interval neutrosophic hesitant fuzzy environment. The main advantage of the proposed operator is that, it can deal with the situations of the positive interaction, negative interaction or non-interaction among the criteria, during the decision making process. Also, the proposed operator can replace the weighted average to aggregate dependent criteria of interval neutrosophic hesistant fuzzy information for obtaining more accurate results. Moreover, some interval neutrosophic hesitant fuzzy weighted average operators are proposed as special cases of INHFECI operator. Finally, an illustrative example follows.
Year
DOI
Venue
2020
10.1007/s10462-019-09730-7
Artificial Intelligence Review
Keywords
Field
DocType
Einstein operations, Interval neutrosophic hesitant fuzzy set, Fuzzy measure, Interval neutrosophic hesitant fuzzy Einstein Choquet integral, 03E72, 90B50, 62C86
Fuzzy weighted average,Data mining,Einstein,Algebra,Computer science,Fuzzy logic,Fuzzy set,Operator (computer programming),Choquet integral,Decision-making
Journal
Volume
Issue
ISSN
53
3
0269-2821
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Pankaj Kakati101.01
Surajit Borkotokey26512.81
Saifur Rahman327530.82
Bijan Davvaz404.06