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An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry
This study defines key issues for sustainable healthcare policy in COVID-19 period. For this purpose, 9 different criteria that affect vaccine hesitancy are selected with the help of a detailed literature evaluation. A novel hybrid fuzzy decision-making model is developed using DEMATEL and TOPSIS ba...
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/PMC8866924/ http://dx.doi.org/10.1007/s44196-022-00069-6 |
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author | Demir Uslu, Yeter Dinçer, Hasan Yüksel, Serhat Gedikli, Erman Yılmaz, Emre |
author_facet | Demir Uslu, Yeter Dinçer, Hasan Yüksel, Serhat Gedikli, Erman Yılmaz, Emre |
author_sort | Demir Uslu, Yeter |
collection | PubMed |
description | This study defines key issues for sustainable healthcare policy in COVID-19 period. For this purpose, 9 different criteria that affect vaccine hesitancy are selected with the help of a detailed literature evaluation. A novel hybrid fuzzy decision-making model is developed using DEMATEL and TOPSIS based on q-Rung orthopair fuzzy sets. A comparative evaluation has also been performed using IF DEMATEL and PF DEMATEL. The results of all different methods are almost the same that indicates the reliability and coherency of the proposed model. The findings demonstrate that religion is the most critical factor that causes vaccine hesitancy. It is also defined that active population in daily life is the most important alternative. Developing countries should mainly focus on the actions regarding the religious issues to have sustainable healthcare policies in COVID-19 period. In this context, religious leaders can be released to the media and give information that the vaccine is not against religious rules. This has a significant contribution to convince people who are against the vaccine. Furthermore, these countries should also give priorities to the active population in daily life. Because this group supports the workforce in the country very seriously, it can be possible to increase the workforce in the country by completing the vaccination of this group that helps to boost economic development. |
format | Online Article Text |
id | pubmed-8866924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-88669242022-02-24 An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry Demir Uslu, Yeter Dinçer, Hasan Yüksel, Serhat Gedikli, Erman Yılmaz, Emre Int J Comput Intell Syst Research Article This study defines key issues for sustainable healthcare policy in COVID-19 period. For this purpose, 9 different criteria that affect vaccine hesitancy are selected with the help of a detailed literature evaluation. A novel hybrid fuzzy decision-making model is developed using DEMATEL and TOPSIS based on q-Rung orthopair fuzzy sets. A comparative evaluation has also been performed using IF DEMATEL and PF DEMATEL. The results of all different methods are almost the same that indicates the reliability and coherency of the proposed model. The findings demonstrate that religion is the most critical factor that causes vaccine hesitancy. It is also defined that active population in daily life is the most important alternative. Developing countries should mainly focus on the actions regarding the religious issues to have sustainable healthcare policies in COVID-19 period. In this context, religious leaders can be released to the media and give information that the vaccine is not against religious rules. This has a significant contribution to convince people who are against the vaccine. Furthermore, these countries should also give priorities to the active population in daily life. Because this group supports the workforce in the country very seriously, it can be possible to increase the workforce in the country by completing the vaccination of this group that helps to boost economic development. Springer Netherlands 2022-02-24 2022 /pmc/articles/PMC8866924/ http://dx.doi.org/10.1007/s44196-022-00069-6 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 | Research Article Demir Uslu, Yeter Dinçer, Hasan Yüksel, Serhat Gedikli, Erman Yılmaz, Emre An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry |
title | An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry |
title_full | An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry |
title_fullStr | An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry |
title_full_unstemmed | An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry |
title_short | An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry |
title_sort | integrated decision-making approach based on q-rung orthopair fuzzy sets in service industry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866924/ http://dx.doi.org/10.1007/s44196-022-00069-6 |
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