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Soft Computing
Erschienen in: Soft Computing 14/2019

29.08.2018 | Foundations

Dealer using a new trapezoidal cubic hesitant fuzzy TOPSIS method and application to group decision-making program

verfasst von: Fazli Amin, Aliya Fahmi, Saleem Abdullah

Erschienen in: Soft Computing | Ausgabe 14/2019

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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.
Vorheriger Artikel Novel classes of fuzzy soft -coverings-based fuzzy rough sets with applications to multi-criteria fuzzy group decision making
Nächster Artikel Intelligent fractional-order control-based projective synchronization for chaotic optical systems

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Metadaten
Titel
Dealer using a new trapezoidal cubic hesitant fuzzy TOPSIS method and application to group decision-making program
verfasst von
Fazli Amin
Aliya Fahmi
Saleem Abdullah
Publikationsdatum
29.08.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 14/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3476-3

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