Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications

This book covers the introduction, theory, development and applications of type-2 fuzzy logic systems, which represent the current state-of-the-art in various domains such as control applications, power plants, health care, image processing, mathematical applications etc. The book is also rich in discussing different applications in order to give the researchers a flavor of how type-2 fuzzy logic is designed for different types of problems. Type-2 fuzzy logic systems are now used extensively in engineering applications for many purposes. In simple language, this book covers the practical use of type-2 fuzzy logic and its optimization through different training methods. Furthermore, this book maintains the relationship between mathematics and practical implementations in the real world. This book chapter also contains the proper comparisons with available literature work. It shows that the presented enhanced techniques have better results. This book would serve as a handy reference guide for a variety of readers, primarily targeting research scholars, undergraduate and postgraduate researchers and practicing engineers working in Type-2 fuzzy logic systems and their applications.

A concise collection of state-of-art approaches for type-2 fuzzy logic systems and their applications in various fields A handy reference guide intended for a variety of readers working in AI, Electrical Engineering and Automation Covers an introduction, theory, development and applications of type-2 fuzzy logic systems

Inhalt
Chapter 1: Application of interval type-2 fuzzy logic control approach to the lower-limb exoskeleton.- Chapter 2: A Simplified Model of an Interval Type-2 Takagi-Sugeno Fuzzy PID Controller using 1- D Input Space.- Chapter 3: Fractional order Type-2 fuzzy Logic controllers.- Chapter 4: Artificial Bee Colony Optimized a new Precompensated Interval Type-2 Fuzzy Logic Controller for a Magnetic Levitation System.- Chapter 5: Application of Type-2 Fuzzy Logic Controllers in Renewable Energy Systems.