Synergistic Strategy of Sustainable Hospital Site Selection in Saudi Arabia Using Spherical Fuzzy MCDM Methodology

dc.authorscopusid58075145600
dc.authorscopusid57222993388
dc.authorscopusid23028598900
dc.authorscopusid57004332200
dc.authorscopusid57220840484
dc.contributor.authorGazi,K.H.
dc.contributor.authorSalahshour, Soheıl
dc.contributor.authorSalahshour,S.
dc.contributor.authorMondal,S.P.
dc.contributor.authorGhosh,A.
dc.date.accessioned2024-05-25T12:18:55Z
dc.date.available2024-05-25T12:18:55Z
dc.date.issued2024
dc.departmentOkan Universityen_US
dc.department-tempGazi K.H., Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, 741249, India; Momena A.F., Department of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al Kharj, 11942, Saudi Arabia; Salahshour S., Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey, Faculty of Engineering, Natural Sciences Bahcesehir University, Istanbul, Turkey, Faculty of Science, Letters Piri Reis University, Tuzla, Istanbul, Turkey; Mondal S.P., Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, 741249, India; Ghosh A., Department of Mathematics, St. Xavier’s College (Autonomous), Kolkata, 700016, Indiaen_US
dc.description.abstractSite selection for a hospital is demanding and challenging work. It’s become more complicated when considering various infectious diseases. Multiple criteria and sub-criteria are considered for selecting the most suitable and efficient hospital location. In this paper, we find the most suitable location for multiple disease-related hospitals using the multi-criteria decision-making (MCDM) methodologies. The proposed study is done by the MCDM techniques, namely spherical Entropy and spherical VIekriterijumsko KOmpromisno Rangiranje (VIKOR) methods. The decision-making for site selection is based on multiple experts’ opinions. Also, we use real data sources in spherical fuzzy numbers (SFN) to capture all its uncertainty. We proposed a new score function and an accuracy function of the SFN to evaluate crisp value from fuzzy numbers. The most prioritized criteria and sub-criteria are determined with their weights. We optimized the proposed site based on demand and criterion weight. Finally, sensitivity analysis and comparative analysis are conducted to check the stability and robustness of the result. © World Scientific Publishing Company.en_US
dc.identifier.citation0
dc.identifier.doi10.1142/S1752890924500041
dc.identifier.issn1752-8909
dc.identifier.scopus2-s2.0-85191359809
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://doi.org/10.1142/S1752890924500041
dc.identifier.urihttps://hdl.handle.net/20.500.14517/1754
dc.institutionauthorSalahshour, Soheıl
dc.institutionauthorSalahshour S.
dc.language.isoen
dc.publisherWorld Scientificen_US
dc.relation.ispartofJournal of Uncertain Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectentropyen_US
dc.subjectMCDMen_US
dc.subjectMulti speciality hospitalen_US
dc.subjectsite selectionen_US
dc.subjectspherical fuzzy numberen_US
dc.subjectVIKORen_US
dc.titleSynergistic Strategy of Sustainable Hospital Site Selection in Saudi Arabia Using Spherical Fuzzy MCDM Methodologyen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationf5ba517c-75fb-4260-af62-01c5f5912f3d
relation.isAuthorOfPublication.latestForDiscoveryf5ba517c-75fb-4260-af62-01c5f5912f3d

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