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Granular Computing

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04.09.2020 | Original Paper

Induced generalized pythagorean fuzzy aggregation operators and their application based on t-norm and t-conorm

verfasst von: K. Rahman, S. Abdullah, F. Hussain

Erschienen in: Granular Computing | Ausgabe 4/2021

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Abstract

In this paper, we present some new operators, namely induced Pythagorean fuzzy Einstein ordered weighted geometric operator, induced Pythagorean fuzzy Einstein hybrid geometric operator, induced generalized Pythagorean fuzzy Einstein ordered weighted geometric operator, induced generalized Pythagorean fuzzy Einstein hybrid geometric operator. Moreover, these operators are applied to decision-making, in which the specialists of the problems deliver their favorites to display the practicality, and value of the new presented work. We also study the applicability in a decision-making concerning strategic choice of the best information system and give an example to show the effectiveness of the developed methods.

Vorheriger Artikel Generalized intuitionistic fuzzy aggregation operators based on confidence levels for group decision making

Nächster Artikel A novel intuitionistic Renyi’s–Tsallis discriminant information measure and its applications in decision-making

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Titel: Induced generalized pythagorean fuzzy aggregation operators and their application based on t-norm and t-conorm
verfasst von: K. Rahman
S. Abdullah
F. Hussain
Publikationsdatum: 04.09.2020
Verlag: Springer International Publishing
Erschienen in: Granular Computing / Ausgabe 4/2021
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI: https://doi.org/10.1007/s41066-020-00236-0

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