Neuro-fuzzy systems

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dc.authorscopusidTofigh Allahviranloo / 8834494700
dc.authorscopusidWitold Pedrycz / 58861905800
dc.authorwosidTofigh Allahviranloo / V-4843-2019
dc.authorwosidWitold Pedrycz / HJZ-2779-2023
dc.contributor.authorZeinalnezhad, Masoomeh
dc.contributor.authorAllahviranloo, Tofigh
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2025-04-18T10:04:59Z
dc.date.available2025-04-18T10:04:59Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractThe neuro-fuzzy system has gotten the great attention of researchers in numerous scientific areas due to its practical reasoning and learning capabilities. This chapter aims to help researchers to get a brief overview of the fuzzy sets and the related operations. The following introduces various classifications of neuro-fuzzy systems and discusses two groups of neuro-fuzzy models, including Mamdani and Takagi-Sugeno-Kang (TSK). The final section presents the most recent applications of neuro-fuzzy systems in various fields, such as environment and health, energy, and industry. This chapter will be helpful for researchers studying the development of neuro-fuzzy systems and their applications. © 2024 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/B978-0-443-16147-6.00021-9
dc.identifier.endpage621
dc.identifier.isbn978-044316147-6, 978-044316148-3
dc.identifier.scopus2-s2.0-85202819376
dc.identifier.startpage609
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6939
dc.institutionauthorAllahviranloo, Tofigh
dc.institutionauthorPedrycz, Witold
dc.institutionauthoridTofigh Allahviranloo / 0000-0002-6673-3560
dc.institutionauthoridWitold Pedrycz / 0000-0002-9335-9930
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.subjectAdaptive Neuro-fuzzy İnference System (ANFIS)
dc.subjectFuzzy Sets
dc.subjectMamdani
dc.subjectMembership Function
dc.subjectNeuro-Fuzzy Systems
dc.subjectTakagi-Sugeno-Kang (TSK)
dc.titleNeuro-fuzzy systems
dc.typeBook Chapter

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