The interaction of fuzzy logic with machine learning and artificial intelligence in decision-making models

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dc.contributor.authorNalbant, Kemal Gokhan
dc.date.accessioned2025-03-09T10:57:32Z
dc.date.available2025-03-09T10:57:32Z
dc.date.issued2024
dc.departmentİstanbul Beykent Üniversitesi
dc.description.abstractThe employment of fuzzy logic is progressively gaining recognition as a prevalent and extensive methodology across a diverse spectrum of decision-making procedures. The importance of selecting the most suitable alternative is crucial in the field of Multiple Criteria Decision-Making (MCDM). The objective of the current research is to examine the viability of incorporating fuzzy logic within the fields of Artificial Intelligence (AI) and Machine Learning (ML), with the aim of improving understanding in these areas. The integration of AI, ML, and deep learning techniques in decision-making procedures, along with the examination of fuzzy logic, have been extensively investigated and documented in scholarly publications. The utilization of fuzzy logic has been noted to exhibit significant variations across various academic disciplines. Furthermore, this study investigates the relationship between machine learning and fuzzy logic and their interactions. The integration of fuzzy logic into machine learning algorithms and the emulation of human intelligence methodologies have had a significant influence on the advancement of decision-making procedures, leading to noteworthy advancements in these processes. These procedures have undergone notable advancements as a result. © 2024 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/B978-0-443-16147-6.00006-2
dc.identifier.endpage571
dc.identifier.isbn978-044316147-6
dc.identifier.isbn978-044316148-3
dc.identifier.scopus2-s2.0-85202890797
dc.identifier.scopusqualityN/A
dc.identifier.startpage563
dc.identifier.urihttps://doi.org/10.1016/B978-0-443-16147-6.00006-2
dc.identifier.urihttps://hdl.handle.net/20.500.12662/4894
dc.indekslendigikaynakScopus
dc.institutionauthorNalbant, Kemal Gokhan
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofDecision-Making Models: A Perspective of Fuzzy Logic and Machine Learning
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250310
dc.subjectArtificial intelligence
dc.subjectDecision-making
dc.subjectDeep learning
dc.subjectFuzzy logic
dc.subjectMachine learning
dc.titleThe interaction of fuzzy logic with machine learning and artificial intelligence in decision-making models
dc.typeBook Part

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