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Group decision-making with Fermatean fuzzy soft expert knowledge
With the rapid growth of population, the global impact of solar technology is increasing by the day due to its advantages over other power production technologies. Demand for solar panel systems is soaring, thus provoking the arrival of many new manufacturers. Sale dealers or suppliers face an uncer...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742905/ https://www.ncbi.nlm.nih.gov/pubmed/35035018 http://dx.doi.org/10.1007/s10462-021-10119-8 |
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author | Akram, Muhammad Ali, Ghous Alcantud, José Carlos R. Riaz, Aneesa |
author_facet | Akram, Muhammad Ali, Ghous Alcantud, José Carlos R. Riaz, Aneesa |
author_sort | Akram, Muhammad |
collection | PubMed |
description | With the rapid growth of population, the global impact of solar technology is increasing by the day due to its advantages over other power production technologies. Demand for solar panel systems is soaring, thus provoking the arrival of many new manufacturers. Sale dealers or suppliers face an uncertain problem to choose the most adequate technological solution. To effectively address such kind of issues, in this paper we propose the Fermatean fuzzy soft expert set model by combining Fermatean fuzzy sets and soft expert sets. We describe this hybrid model with numerical examples. From a theoretical standpoint, we demonstrate some essential properties and define operations for this setting. They comprise the definitions of complement, union and intersection, the OR operation and the AND operation. Concerning practice in this new environment, we provide an algorithm for multi-criteria group decision making whose productiveness and authenticity is dutifully tested. We explore a practical application of this approach (that is, the selection of a suitable brand of solar panel system). Lastly, we give a comparison of our model with certain related mathematical tools, including fuzzy and intuitionistic fuzzy soft expert set models. |
format | Online Article Text |
id | pubmed-8742905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-87429052022-01-10 Group decision-making with Fermatean fuzzy soft expert knowledge Akram, Muhammad Ali, Ghous Alcantud, José Carlos R. Riaz, Aneesa Artif Intell Rev Article With the rapid growth of population, the global impact of solar technology is increasing by the day due to its advantages over other power production technologies. Demand for solar panel systems is soaring, thus provoking the arrival of many new manufacturers. Sale dealers or suppliers face an uncertain problem to choose the most adequate technological solution. To effectively address such kind of issues, in this paper we propose the Fermatean fuzzy soft expert set model by combining Fermatean fuzzy sets and soft expert sets. We describe this hybrid model with numerical examples. From a theoretical standpoint, we demonstrate some essential properties and define operations for this setting. They comprise the definitions of complement, union and intersection, the OR operation and the AND operation. Concerning practice in this new environment, we provide an algorithm for multi-criteria group decision making whose productiveness and authenticity is dutifully tested. We explore a practical application of this approach (that is, the selection of a suitable brand of solar panel system). Lastly, we give a comparison of our model with certain related mathematical tools, including fuzzy and intuitionistic fuzzy soft expert set models. Springer Netherlands 2022-01-09 2022 /pmc/articles/PMC8742905/ /pubmed/35035018 http://dx.doi.org/10.1007/s10462-021-10119-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Akram, Muhammad Ali, Ghous Alcantud, José Carlos R. Riaz, Aneesa Group decision-making with Fermatean fuzzy soft expert knowledge |
title | Group decision-making with Fermatean fuzzy soft expert knowledge |
title_full | Group decision-making with Fermatean fuzzy soft expert knowledge |
title_fullStr | Group decision-making with Fermatean fuzzy soft expert knowledge |
title_full_unstemmed | Group decision-making with Fermatean fuzzy soft expert knowledge |
title_short | Group decision-making with Fermatean fuzzy soft expert knowledge |
title_sort | group decision-making with fermatean fuzzy soft expert knowledge |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742905/ https://www.ncbi.nlm.nih.gov/pubmed/35035018 http://dx.doi.org/10.1007/s10462-021-10119-8 |
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