Spherical bipolar fuzzy weighted multi-facility location modeling for mobile COVID-19 vaccination clinics

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dc.authorid0000-0003-3333-7972
dc.contributor.authorÇakır, Esra
dc.contributor.authorTaş, Mehmet Ali
dc.contributor.authorUlukan, Ziya
dc.date.accessioned2022-05-18T07:33:09Z
dc.date.available2022-05-18T07:33:09Z
dc.date.issued2022
dc.departmentTAÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractA pandemic was declared in 2020 due to COVID-19. The most important way to deal with the virus is mass vaccination which is a complex task in terms of fast transportation and process management. Hospitals and other health centers are appropriate for vaccination process. In addition, in order to protect other patients from COVID-19 and provide rapid access to vaccines, mobile vaccination clinics can also be considered. In this study, the location assignments of mobile vaccination clinics that can serve some regions of three cities in Turkey are examined. The linear formulation of the problem is given, and the multi-facility location problem for COVID-19 vaccination is investigated with Lagrange relaxation and modified saving heuristic algorithm. For the proposed fuzzy MCDM integrated saving heuristic, the importance of candidate locations is calculated with the aid of decision makers who give their views in spherical bipolar fuzzy information. The results of different approaches are compared, and it is intended to guide future studies.
dc.identifier.citationÇakır, E., Taş, M. A., & Ulukan, Z. (2022). Spherical bipolar fuzzy weighted multi-facility location modeling for mobile COVID-19 vaccination clinics. Journal of Intelligent & Fuzzy Systems, 1-14.
dc.identifier.doi10.3233/JIFS-219189
dc.identifier.endpage250en_US
dc.identifier.issn1875-8967
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85122818930
dc.identifier.scopusqualityQ2
dc.identifier.startpage237en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12846/646
dc.identifier.volume42en_US
dc.identifier.wosWOS:000741363900020
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorTaş, Mehmet Ali
dc.language.isoen
dc.publisherIOS Press
dc.relation.ispartofJournal Of Intelligent & Fuzzy Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSpherical Bipolar Fuzzy Seten_US
dc.subjectCOVID-19en_US
dc.subjectLagrange Relaxationen_US
dc.subjectModified Saving Heuristic Algorithmen_US
dc.subjectMulti Facility Location Problemen_US
dc.subjectMobile Vaccination Clinicsen_US
dc.subjectMobil Aşı Kliniklerien_US
dc.subjectKüresel İki Kutuplu Bulanık Kümeen_US
dc.titleSpherical bipolar fuzzy weighted multi-facility location modeling for mobile COVID-19 vaccination clinics
dc.typeArticle

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