Paper Info
Title
Dealer using a new trapezoidal cubic hesitant fuzzy TOPSIS method and application to group decision-making program
Abstract
In this paper, we describe the idea of trapezoidal cubic hesitant fuzzy number. We discuss some basic operational laws of trapezoidal cubic hesitant fuzzy number and hamming distance of trapezoidal cubic hesitant fuzzy numbers (TrCHFNs). We introduce the new concept of the trapezoidal cubic hesitant fuzzy TOPSIS method. Furthermore, we extend the classical trapezoidal cubic hesitant fuzzy TOPSIS method to solve the MCDM method based on the trapezoidal cubic hesitant fuzzy TOPSIS method. The new ranking method for TrCHFNs is used to rank the alternatives. Finally, an illustrative example is given to verify and prove the practicality and effectiveness of the proposed method. We compared the proposed method to the existing methods, which shows the trapezoidal cubic hesitant Fuzzy TOPSIS method is more flexible to deal uncertainties and fuzziness. The main advantage of these operators is that it is to provide more accurate and significant results.
Year
DOI
Venue
2019
10.1007/s00500-018-3476-3
soft computing
Keywords
Field
DocType
Ordered selection, Supply chain, Trapezoidal cubic hesitant fuzzy TOPSIS method, MCDM
Mathematical optimization,Multiple-criteria decision analysis,Ranking,Computer science,Theoretical computer science,Hamming distance,Operator (computer programming),Supply chain,Fuzzy number,Fuzzy topsis,Group decision-making
Journal
Volume
Issue
ISSN
23.0
14.0
1433-7479
Citations 
PageRank 
References 
8
0.71
12
Authors
3
Name
Order
Citations
PageRank
Fazli Amin1355.26
Aliya Fahmi2224.30
Saleem Abdullah323635.45