Multi-criteria evaluation of medical waste management process under intuitionistic fuzzy environment: A case study on hospitals in Turkey

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dc.authorid0000-0001-7594-4856
dc.authorwosidABG-2933-2021
dc.contributor.authorÇelik, Sefa
dc.contributor.authorPeker, İskender
dc.contributor.authorGök Kısa, Ayşe Cansu
dc.contributor.authorBüyüközkan, Gülçin
dc.date.accessioned2024-01-31T07:46:22Z
dc.date.available2024-01-31T07:46:22Z
dc.date.issued2023en_US
dc.departmentHitit Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Uluslararası Ticaret ve Lojistik Yönetimi Bölümü
dc.description.abstractWaste management has come to the fore in the whole world with the increasing impact of the Covid-19 pandemic along with concerns about human health, environmental threats, and socio-economic factors, etc. Medical waste is one of the waste types that need special management processes including particularly collection, storage, separation, and disposal. Healthcare activities create a great amount of medical waste deriving from the hospitals. This study aims to determine the hospital that carries out medical waste management in the most effective way in Erzurum, Turkey. To handle intense uncertainty in the evaluation process, the case is analyzed by Intuitionistic Fuzzy Multi-Criteria Decision-Making (IFMCDM) methods. The present study contributes to the literature by focusing on a real case problem under IF environment in a Group Decision-Making (GDM) framework. Additionally, based on the literature review and expert judgments, the evaluation criteria relevant to the case are defined in this paper. To this end, a four-phased integrated methodology that involves Intuitionistic Fuzzy Weighted Averaging (IFWA), IF Analytical Hierarchy Process (IFAHP), IF Technique for Order Preference by Similarity to Ideal Solution (IFTOPSIS) and One-Dimensional Sensitivity Analysis, is conducted. Firstly, IFWA is aimed to express the significance levels of decision makers (DMs) based on their knowledge, qualifications and experiences. Secondly, IFAHP is used to calculate the importance weights of the decision criteria and IFTOPSIS is preferred to rank the available hospitals. Then, sensitivity analysis is employed to display robustness. According to the results, the most important criteria are Qualified personnel, Health institution infrastructure, and Control of waste, respectively and the most efficient hospital is determined.
dc.description.provenanceSubmitted by Zeynep Umut NARİN (umutarslan@hitit.edu.tr) on 2024-01-31T07:46:09Z No. of bitstreams: 0en
dc.description.provenanceApproved for entry into archive by Zeynep Umut NARİN (umutarslan@hitit.edu.tr) on 2024-01-31T07:46:22Z (GMT) No. of bitstreams: 0en
dc.description.provenanceMade available in DSpace on 2024-01-31T07:46:22Z (GMT). No. of bitstreams: 0 Previous issue date: 2023en
dc.identifier.citationÇelik, S., Peker, İ., Gök-Kısa, A. C., & Büyüközkan, G. (2023). Multi-criteria evaluation of medical waste management process under intuitionistic fuzzy environment: A case study on hospitals in Turkey. Socio-Economic Planning Sciences, 86, 101499.
dc.identifier.doi10.1016/j.seps.2022.101499
dc.identifier.issn0038-0121
dc.identifier.issn1873-6041
dc.identifier.pmid36540295
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.seps.2022.101499
dc.identifier.urihttps://hdl.handle.net/11491/8763
dc.identifier.wosWOS:000955340800001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorGök Kısa, Ayşe Cansu
dc.language.isoen
dc.publisherELSEVIER SCIENCE INC
dc.relation.ispartofSocio-Economic Planning Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMedical waste managementen_US
dc.subjectIFMCDMen_US
dc.subjectIFAHPen_US
dc.subjectIFTOPSISen_US
dc.subjectGDMen_US
dc.titleMulti-criteria evaluation of medical waste management process under intuitionistic fuzzy environment: A case study on hospitals in Turkey
dc.typeArticle

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