A fuzzy approach for prioritization of pharmacies to improve mask distribution process during COVID-19 pandemic-a pilot study for Istanbul

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dc.authoridERDOGAN, Melike/0000-0003-0329-8562en_US
dc.authorscopusid55778396800en_US
dc.contributor.authorErdogan, Melike
dc.date.accessioned2024-08-23T16:07:12Z
dc.date.available2024-08-23T16:07:12Z
dc.date.issued2023en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractWhile the whole world struggles with the COVID-19 pandemic, there are many different measures taken by countries. In this sense, the distribution of free masks to citizens between the ages of 20-65 in Turkey is one of the important measures taken against to spread of the pandemic. This distribution process is carried out through pharmacies and people can obtain their masks from any pharmacy in their area of residence. However, this situation may cause some pharmacies to be very busy, and thus social distance cannot be maintained and health and safety of the people may be threatened. In this paper, we aim to prioritize pharmacies so that only determined pharmacies in certain regions perform mask distribution process to prevent virus transmission. For this purpose, Esenler district is taken into consideration for a pilot study which is one of the risky regions in terms of virus spread in Istanbul, Turkey. Multi-criteria decision-making approach (MCDM) is used because of the necessity of handling many factors in decision-making process and the contradiction of evaluation factors in the prioritization of pharmacies. In order to best model the uncertainty in the decision process, the MCDM approach is applied in a fuzzy environment. In addition, spherical fuzzy AHP and VIKOR MCDM approaches are used as novel hybrid method in this paper. As a result of spherical fuzzy multi-criteria analysis, the pharmacies that need to provide free mask distribution in the Esenler region have been successfully identified.en_US
dc.identifier.doi10.1007/s00521-023-08749-w
dc.identifier.endpage19804en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue27en_US
dc.identifier.scopus2-s2.0-85164103825en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage19783en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-023-08749-w
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14543
dc.identifier.volume35en_US
dc.identifier.wosWOS:001025405000001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorErdogan, Melikeen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCOVID-19en_US
dc.subjectMask distributionen_US
dc.subjectMulti-criteria decision-makingen_US
dc.subjectPharmaciesen_US
dc.subjectSpherical fuzzy setsen_US
dc.subjectExtended Vikor Methoden_US
dc.subjectPublic Transportationen_US
dc.subjectCustomer Satisfactionen_US
dc.subjectOccupational-Healthen_US
dc.subjectRisk-Assessmenten_US
dc.subjectAhpen_US
dc.subjectSafetyen_US
dc.subjectMultimooraen_US
dc.subjectManagementen_US
dc.subjectExtensionen_US
dc.titleA fuzzy approach for prioritization of pharmacies to improve mask distribution process during COVID-19 pandemic-a pilot study for Istanbulen_US
dc.typeArticleen_US

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