A Theoretical Analysis of Fuzzy MCDM Methods for Healthcare Resource Allocation Under Uncertainty

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dc.contributor.authorOzcan, Zuhal
dc.contributor.authorYavuz, Tonguc
dc.date.accessioned2026-04-04T18:55:21Z
dc.date.available2026-04-04T18:55:21Z
dc.date.issued2025
dc.departmentİstanbul Bilgi Üniversitesi
dc.description2025 International Conference on Intelligent and Fuzzy Systems-INFUS-Annual -- JUL 29-31, 2025 -- Istanbul, TURKIYE
dc.description.abstractHealthcare systems face critical challenges in resource allocation and decision-making under uncertainty. This study applies three fuzzy multi-criteria decision-making (MCDM) methods-Fuzzy AHP, Fuzzy TOPSIS, and Fuzzy OWA-to address these challenges. Each method is mathematically analyzed and applied to a case study involving the allocation of limited medical resources across patient groups, evaluated by severity of condition, treatment cost, and expected benefit. The results show that Fuzzy AHP supports hierarchical decisions but is computationally intensive; Fuzzy TOPSIS provides intuitive rankings but is sensitive to weight accuracy; and Fuzzy OWA models risk preferences flexibly but requires careful aggregation weighting. Comparative analysis highlights the methods' complementary strengths and suitability for healthcare contexts. The study contributes to the development of effective decision-support systems under uncertainty. Future directions include hybrid approaches and integration with real-time data for broader applicability.
dc.identifier.doi10.1007/978-3-031-98304-7_85
dc.identifier.doi10.1007/978-3-031-98304-7_85
dc.identifier.endpage798
dc.identifier.isbn978-3-031-98303-0
dc.identifier.isbn978-3-031-98304-7
dc.identifier.issn2367-3370
dc.identifier.issn2367-3389
dc.identifier.scopus2-s2.0-105013081426
dc.identifier.scopusqualityQ4
dc.identifier.startpage791
dc.identifier.urihttps://doi.org/10.1007/978-3-031-98304-7_85
dc.identifier.urihttps://hdl.handle.net/11411/10377
dc.identifier.volume1531
dc.identifier.wosWOS:001587127900085
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer International Publishing Ag
dc.relation.ispartofIntelligent and Fuzzy Systems, Infus 2025, Vol 4
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectHealthcare Resource Allocation
dc.subjectFuzzy Ahp
dc.subjectFuzzy Topsis
dc.subjectFuzzy Owa
dc.subjectMulti-Criteria Decision-Making
dc.titleA Theoretical Analysis of Fuzzy MCDM Methods for Healthcare Resource Allocation Under Uncertainty
dc.typeConference Object

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