An Application of Controlled Sets in Medical Diagnosis

dc.contributor.authorTarsuslu
dc.contributor.author36631224000
dc.contributor.author36629890800)
dc.date.accessioned2025-03-17T12:22:44Z
dc.date.available2025-03-17T12:22:44Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description.abstractThe theory of Intuitionistic Fuzzy Sets (IFS) has demonstrated notable success in decision-making procedures compared to other set theories, leading to its application across various domains in daily life, including political science, robotic systems, economic research, and medical studies. The effectiveness of IFS in decision-making within these domains has been well-established. With the introduction of controlled sets, authors delved deeper into studying decision-making problems, aiming to leverage this new concept to improve methodologies, models, and approaches in various domains. And obtained results compared by intuitionistic fuzzy applications. In this study, controlled set theory is applied to medical diagnosis using Szmidt and Kacprzyk’s smallest distance method. The obtained results are compared with the previous ones. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
dc.identifier.doi10.1007/978-3-031-53713-4_2
dc.identifier.endpage17
dc.identifier.issn1860-949X
dc.identifier.scopus2-s2.0-85191499030
dc.identifier.scopusqualityQ3
dc.identifier.startpage9
dc.identifier.urihttps://doi.org/10.1007/978-3-031-53713-4_2
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1331
dc.identifier.volume1146
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofStudies in Computational Intelligence
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250316
dc.subjectControlled sets
dc.subjectIntuitionistic fuzzy sets
dc.subjectMedical diagnosis
dc.titleAn Application of Controlled Sets in Medical Diagnosis
dc.typeBook Part

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