This work presents developments and applications in the area of computational intelligence, which essentially describes methods and approaches that mimic biologically intelligent behaviour in order to solve problems that have been difficult to solve by classical mathematics. Fuzzy technology, artificial neural nets and evolutionary computing are considered to be such approaches. The Editors have assembled contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so-called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to computational intelligence.