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Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators

Spherical fuzzy set (SFS) is also one of the fundamental concepts for address more uncertainties in decision problems than the existing structures of fuzzy sets, and thus its implementation was more substantial. The well-known sine trigonometric function maintains the periodicity and symmetry of the...

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Autores principales: Qiyas, Muhammad, Abdullah, Saleem, Khan, Saifullah, Naeem, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982515/
http://dx.doi.org/10.1007/s41066-021-00256-4
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author Qiyas, Muhammad
Abdullah, Saleem
Khan, Saifullah
Naeem, Muhammad
author_facet Qiyas, Muhammad
Abdullah, Saleem
Khan, Saifullah
Naeem, Muhammad
author_sort Qiyas, Muhammad
collection PubMed
description Spherical fuzzy set (SFS) is also one of the fundamental concepts for address more uncertainties in decision problems than the existing structures of fuzzy sets, and thus its implementation was more substantial. The well-known sine trigonometric function maintains the periodicity and symmetry of the origin in nature and thus satisfies the expectations of the experts over the multi parameters. Taking this feature and the significance of the SFSs into the consideration, the main objective of the article is to describe some reliable sine trigonometric laws for SFSs. Associated with these laws, we develop new average and geometric aggregation operators to aggregate the Spherical fuzzy numbers. Then, we presented a group decision-making strategy to address the multi-attribute group decision-making problem using the developed aggregation operators. To verify the value of the defined operators, a MAGDM strategy is provided along with an application for the selection of an authentic COVID-19 laboratory. Moreover, a comparative study is also performed to present the effectiveness of the developed approach.
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spelling pubmed-79825152021-03-23 Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators Qiyas, Muhammad Abdullah, Saleem Khan, Saifullah Naeem, Muhammad Granul. Comput. Original Paper Spherical fuzzy set (SFS) is also one of the fundamental concepts for address more uncertainties in decision problems than the existing structures of fuzzy sets, and thus its implementation was more substantial. The well-known sine trigonometric function maintains the periodicity and symmetry of the origin in nature and thus satisfies the expectations of the experts over the multi parameters. Taking this feature and the significance of the SFSs into the consideration, the main objective of the article is to describe some reliable sine trigonometric laws for SFSs. Associated with these laws, we develop new average and geometric aggregation operators to aggregate the Spherical fuzzy numbers. Then, we presented a group decision-making strategy to address the multi-attribute group decision-making problem using the developed aggregation operators. To verify the value of the defined operators, a MAGDM strategy is provided along with an application for the selection of an authentic COVID-19 laboratory. Moreover, a comparative study is also performed to present the effectiveness of the developed approach. Springer International Publishing 2021-03-22 2022 /pmc/articles/PMC7982515/ http://dx.doi.org/10.1007/s41066-021-00256-4 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature 2021 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 Original Paper
Qiyas, Muhammad
Abdullah, Saleem
Khan, Saifullah
Naeem, Muhammad
Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators
title Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators
title_full Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators
title_fullStr Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators
title_full_unstemmed Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators
title_short Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators
title_sort multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982515/
http://dx.doi.org/10.1007/s41066-021-00256-4
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