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Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions

This paper intends to introduce mathematical tools for aggregation of the generalized hesitant fuzzy numbers in order to increase the use of them in the real world. The proposed operators, are based on general form of t-norm and t-conorm functions, enable us to do some mathematical computations and...

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Detalles Bibliográficos
Autores principales: Garg, Harish, Keikha, Abazar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547579/
https://www.ncbi.nlm.nih.gov/pubmed/36249950
http://dx.doi.org/10.1007/s00500-022-07516-8
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author Garg, Harish
Keikha, Abazar
author_facet Garg, Harish
Keikha, Abazar
author_sort Garg, Harish
collection PubMed
description This paper intends to introduce mathematical tools for aggregation of the generalized hesitant fuzzy numbers in order to increase the use of them in the real world. The proposed operators, are based on general form of t-norm and t-conorm functions, enable us to do some mathematical computations and aggregate the given generalized hesitant fuzzy numbers. At first, some famous Archimedean t-norms and t-conorms, i.e., Algebraic, Einstein, Hamacher, and Frank t-norms and t-conorms, and their properties, have been developed to be employed with generalized hesitant fuzzy numbers. Then, several averaging and geometric-based aggregation operators for generalized hesitant fuzzy numbers have been proposed. Later on, a decision-making algorithm has been defined based on such operators to address the problems. The necessity and application of the proposed concepts have been explained by some numerical examples.
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spelling pubmed-95475792022-10-11 Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions Garg, Harish Keikha, Abazar Soft comput Foundation, Algebraic, and Analytical Methods in Soft Computing This paper intends to introduce mathematical tools for aggregation of the generalized hesitant fuzzy numbers in order to increase the use of them in the real world. The proposed operators, are based on general form of t-norm and t-conorm functions, enable us to do some mathematical computations and aggregate the given generalized hesitant fuzzy numbers. At first, some famous Archimedean t-norms and t-conorms, i.e., Algebraic, Einstein, Hamacher, and Frank t-norms and t-conorms, and their properties, have been developed to be employed with generalized hesitant fuzzy numbers. Then, several averaging and geometric-based aggregation operators for generalized hesitant fuzzy numbers have been proposed. Later on, a decision-making algorithm has been defined based on such operators to address the problems. The necessity and application of the proposed concepts have been explained by some numerical examples. Springer Berlin Heidelberg 2022-10-08 2022 /pmc/articles/PMC9547579/ /pubmed/36249950 http://dx.doi.org/10.1007/s00500-022-07516-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Foundation, Algebraic, and Analytical Methods in Soft Computing
Garg, Harish
Keikha, Abazar
Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions
title Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions
title_full Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions
title_fullStr Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions
title_full_unstemmed Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions
title_short Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions
title_sort various aggregation operators of the generalized hesitant fuzzy numbers based on archimedean t-norm and t-conorm functions
topic Foundation, Algebraic, and Analytical Methods in Soft Computing
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547579/
https://www.ncbi.nlm.nih.gov/pubmed/36249950
http://dx.doi.org/10.1007/s00500-022-07516-8
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