Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1245
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dc.contributor.authorSarucan, A.-
dc.contributor.authorEmin Baysal, M.-
dc.contributor.authorEngin, O.-
dc.date.accessioned2021-12-13T10:38:37Z-
dc.date.available2021-12-13T10:38:37Z-
dc.date.issued2021-
dc.identifier.isbn9783030511555-
dc.identifier.issn2194-5357-
dc.identifier.urihttps://doi.org/10.1007/978-3-030-51156-2_38-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1245-
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 -- 21 July 2020 through 23 July 2020 -- -- 242349en_US
dc.description.abstractIn this study, it is done that the evaluation of neurology clinics of two hospitals under the Ministry of Health and their physicians, considering patient preferences. While effective service policies and procedures of hospitals increase customer satisfaction, the performance of physicians ensures preferability. Therefore, measuring satisfaction and performance is crucial for management. However, measurement includes many challenges in connection with many factors and uncertainty on these factors. Thus, neutrosophic multi-criteria decision-making methods have been particularly chosen to overcome these challenges in this study. The related literature on the subject shows that easy access, cleaning and comfort, technological infrastructure, and equipment, total service time, physicians’ communication skills, recognition of physicians, treatment effectiveness, treatment rate, academic career are the main criteria. The values of weights for these criteria and the physicians ranking based on the values of those weights were found by using the Neutrosophic Analytical Hierarchy Process (N-AHP). It has been validated that the ranking is fitting to patient preferences in the Central Physicians Appointment System. As a result, the recommended method can be effectively used in selecting physicians. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMulti-criteria decision makingen_US
dc.subjectNeutrosophic AHPen_US
dc.subjectNeutrosophic setsen_US
dc.subjectPhysician selectionen_US
dc.titlePhysician Selection with a Neutrosophic Multi-criteria Decision Making Methoden_US
dc.typeConference Objecten_US
dc.identifier.doi10.1007/978-3-030-51156-2_38-
dc.identifier.scopus2-s2.0-85088743666en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.identifier.volume1197 AISCen_US
dc.identifier.startpage319en_US
dc.identifier.endpage327en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid54405086400-
dc.authorscopusid56007700700-
dc.authorscopusid55948252100-
dc.identifier.scopusqualityQ4-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.fulltextWith Fulltext-
crisitem.author.dept02.09. Department of Industrial Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
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