Applied Type-3 Fuzzy Logic Systems and Controllers
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Beschreibung
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.
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.
Introduces the core principles of type-3 fuzzy systems Explains interval type-3 fuzzy sets and relations, as well as interval type-3 inference and systems Discusses how to construct interval type-3 fuzzy systems and compares their performance with other fuzzy systems
Autor*in
Rasoul Sabetahd
Themen in »Applied Type-3 Fuzzy Logic Systems and Controllers«
Type-2 Fuzzy Systems Type-3 Fuzzy Systems Chaotic System Uncertainty Control System Learning Algorithm Boltzmann-Based Learning Online Learning Simulation Power Management Solar Energy Systems Photovoltaic Modeling Battery Modeling Microgrids Mobile Robots