Special issue on “Extensions to type-1 fuzzy logic: theory, algorithms and applications”

Excerpt

Recent developments in fuzzy logic have presented new theories, concepts and algorithms extending the original ideas of the pioneering work of Prof. Zadeh. Traditional fuzzy logic, now called type-1 fuzzy logic, has been widely applied in many real-world problems with relative success, ranging from control, pattern recognition, robotics, time-series prediction and economics. However, complex problems usually involve higher degrees of uncertainty that cannot be handled with the traditional type-1 fuzzy logic. In this case, extensions to type-1 like interval type-2 fuzzy logic, general type-2 fuzzy logic, intuitionistic fuzzy logic and other similar approaches have been recently proposed to tackle more complex real-world problems. In particular, problems of intelligent control, robotics, pattern recognition, time-series prediction, decision making have been solved with type 2 fuzzy logic and intuitionistic fuzzy systems. The present special issue is dedicated to the new theories, concepts and algorithms that have been developed to consider situations and problems under high degrees of uncertainty. …