An integrated decision-making approach based on q-rung orthopair fuzzy sets in service industry

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dc.authorid0000-0002-8529-6466
dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-5508-194X
dc.contributor.authorDemir Uslu, Yeter
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorGedikli, Erman
dc.contributor.authorYılmaz, Emre
dc.date.accessioned2022-03-14T06:10:30Z
dc.date.available2022-03-14T06:10:30Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Sağlık Yönetimi Bölümü
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThis 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.
dc.identifier.citationDemir Uslu, Y., Dinçer, H., Yüksel, S., Gedikli, E. ve Yılmaz, E. (2022). An integrated decision-making approach based on q-rung orthopair fuzzy sets in service industry. International Journal of Computational Intelligence Systems, 15(1). https://doi.org/10.1007/s44196-022-00069-6
dc.identifier.doi10.1007/s44196-022-00069-6
dc.identifier.issn1875-6891
dc.identifier.issn1875-6883
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85125437439
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1007/s44196-022-00069-6
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9113
dc.identifier.volume15
dc.identifier.wos000764864300001en_US
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDemir Uslu, Yeter
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorGedikli, Erman
dc.institutionauthorYılmaz, Emre
dc.language.isoen
dc.publisherAtlantis Press
dc.relation.ispartofInternational Journal of Computational Intelligence Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectFuzzy Logic
dc.subjectQ-Rung Orthopair Fuzzy Sets
dc.subjectIntuitionistic Fuzzy Sets
dc.subjectStrategic Priorities
dc.titleAn integrated decision-making approach based on q-rung orthopair fuzzy sets in service industry
dc.typeArticle

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