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Soft Computing
Erschienen in: Soft Computing 22/2021

20.09.2021 | Foundations

Multiple attribute decision-making based on different types of Dombi aggregation operators under Fermatean fuzzy information

verfasst von: Chittaranjan Shit, Ganesh Ghorai

Erschienen in: Soft Computing | Ausgabe 22/2021

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Abstract

For multiple attribute decision-making problem under Fermatean Fuzzy data environment, few existing operators are considered to interrelate among the attributes. In this paper, utilizing Dombi t-norm and t-conorm operations on Fermatean fuzzy number, some operators are defined. The operators are Fermatean fuzzy Dombi weighted averaging operator, Fermatean fuzzy Dombi ordered weighted averaging operator, Fermatean fuzzy Dombi weighted geometric operator, and Fermatean fuzzy Dombi ordered weighted geometric operator. At last, a multiple attribute decision-making problem is considered and a model related to this problem is developed. Also a numerical example is stated to illustrate the proposed model.
Vorheriger Artikel Algebraic properties of intuitionistic fuzzy multiset finite automata
Nächster Artikel Pythagorean fuzzy time series model based on Pythagorean fuzzy c-means and improved Markov weighted in the prediction of the new COVID-19 cases

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Metadaten
Titel
Multiple attribute decision-making based on different types of Dombi aggregation operators under Fermatean fuzzy information
verfasst von
Chittaranjan Shit
Ganesh Ghorai
Publikationsdatum
20.09.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 22/2021
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-021-06252-9

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