02773nam 22005895 450 991098614020332120250328093757.0978303175988810.1007/978-3-031-75988-8(CKB)37836694000041(MiAaPQ)EBC31957520(Au-PeEL)EBL31957520(OCoLC)1506748620(DE-He213)978-3-031-75988-8(EXLCZ)993783669400004120250312d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierApplied Type-3 Fuzzy Logic Systems and Controllers /by Rasoul Sabetahd, Ardashir Mohammadzadeh, Ommegolsoum Jafarzadeh, Hamid Taghavifar, Rathinasamy Sakthivel, Chunwei Zhang1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (338 pages)Studies in Fuzziness and Soft Computing,1860-0808 ;4179783031759871 Chapter 1. Theory and Application of a Novel Online Fractional-Order Learning Algorithm and an Interval Type-3 Fuzzy System -- Chapter 2. A Pragmatic Matlab Simulink and M-file for Robotic, Control, and Modelling Uses for an Applied Type-3 Fuzzy Logic System -- Chapter 3. Advancements and Applications In Modern Technology.This book provides the fundamental approaches to designing and using type-3 fuzzy systems in real-world applications. Basic Matlab codes are provided to use type-3 fuzzy systems in a straightforward scheme. The main differences between type-3 fuzzy systems and other types are analyzed and compared. The effectiveness of type-3 fuzzy systems is analyzed and studied in various applications, such as robotics, intelligent control systems, and data science.Studies in Fuzziness and Soft Computing,1860-0808 ;417Computational intelligenceArtificial intelligenceComputational IntelligenceArtificial IntelligenceComputational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.511.313Sabetahd Rasoul1791009Mohammadzadeh Ardashir1266055Jafarzadeh Ommegolsoum1791010Taghavifar Hamid929197Sakthivel Rathinasamy1791011Zhang Chunwei1769078MiAaPQMiAaPQMiAaPQBOOK9910986140203321Applied Type-3 Fuzzy Logic Systems and Controllers4327867UNINA