This book is a unique go-to resources for readers seeking a comprehensive account of current thinking on the theory and practices of fuzzy logic. Fuzzy logic plays a key role in exciting and dynamic areas of robotics, automation and artificial intelligence, as well as being a common principle in controllers for many domestic appliances. The first part of the book reviews algorithms, techniques and implementations. Topics include fuzzy set models, data analysis and term weighing, as well as applications such as engine knock detection and analysis of car-following behaviour among drivers. In the second part, new and emerging technologies and applications are described and evaluated. Subjects include new clinical applications, greenhouse fuzzy and neuro-fuzzy modelling, fuzzy logic in remote healthcare monitoring and for environmental hazard assessment. Finally, in part three, controls, concepts and theories are considered in detail. Topics reviewed include fuzzy logic control for humanoid robots, fuzzy logic in aluminium smelting, Mamdani-type controllers, and controllers for smart power systems. The book is ideal for engineers and researchers looking for the latest thinking on fuzzy logic applications, as well as for students seeking to extend their understanding.
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