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Dealer using a new trapezoidal cubic hesitant fuzzy TOPSIS method and application to group decision-making program.
- Source :
- Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jul2019, Vol. 23 Issue 14, p5353-5366, 14p
- Publication Year :
- 2019
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- TOPSIS method
GROUP decision making
HAMMING distance
FUZZY numbers
Subjects
Details
- Language :
- English
- ISSN :
- 14327643
- Volume :
- 23
- Issue :
- 14
- Database :
- Complementary Index
- Journal :
- Soft Computing - A Fusion of Foundations, Methodologies & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 136892173
- Full Text :
- https://doi.org/10.1007/s00500-018-3476-3