Hybrid Intelligent System Design by Fusion of Soft Computing Models

In this book, intelligent system design by fusion of soft computing models, such as fuzzy logic, neural networks and optimization algorithms, as well as their hybridizations are outlined. In addition, the utilization of the above-mentioned methods in application areas such as, control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction and optimization of complex problems, are presented. Recently, the main topics of this book are highly relevant, as most of the intelligent systems and their hardware implementations in use today, manifest some form of intelligent feature to enhance their performance. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a set of papers that offer theoretical concepts and applications of meta-heuristics in different areas. There are also some papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.