Zeinalnezhad, MasoomehAllahviranloo, TofighPedrycz, Witold2025-04-182025-04-182024978-044316147-6, 978-044316148-3https://hdl.handle.net/20.500.12713/6939The 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.eninfo:eu-repo/semantics/closedAccessAdaptive Neuro-fuzzy İnference System (ANFIS)Fuzzy SetsMamdaniMembership FunctionNeuro-Fuzzy SystemsTakagi-Sugeno-Kang (TSK)Book Chapter6096212-s2.0-8520281937610.1016/B978-0-443-16147-6.00021-9