Paper Info
Title
Group Decision Making Based on Triangular Neutrosophic Cubic Fuzzy Einstein Hybrid Weighted Averaging Operators.
Abstract
In this paper, a new concept of the triangular neutrosophic cubic fuzzy numbers (TNCFNs), their score and accuracy functions are introduced. Based on TNCFNs, some new Einstein aggregation operators, such as the triangular neutrosophic cubic fuzzy Einstein weighted averaging (TNCFEWA), triangular neutrosophic cubic fuzzy Einstein ordered weighted averaging (TNCFEOWA) and triangular neutrosophic cubic fuzzy Einstein hybrid weighted averaging (TNCFEHWA) operators are developed. Furthermore, their application to multiple-attribute decision-making with triangular neutrosophic cubic fuzzy (TNCF) information is discussed. Finally, a practical example is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Year
DOI
Venue
2019
10.3390/sym11020180
SYMMETRY-BASEL
Keywords
Field
DocType
triangular neutrosophic cubic fuzzy number,Einstein t-norm,arithmetic averaging operator,Multi-attribute decision making,numerical application
Combinatorics,Einstein,Algebra,Fuzzy logic,Operator (computer programming),Fuzzy number,Mathematics,Group decision-making
Journal
Volume
Issue
Citations 
11
2.0
0
PageRank 
References 
Authors
0.34
10
4
Name
Order
Citations
PageRank
Aliya Fahmi1224.30
Fazli Amin2355.26
Madad Khan3135.32
Florentin Smarandache4728104.92