From the Publisher: Fuzzy and Neural Approaches in Engineering presents a detailed
examination of the fundamentals of fuzzy systems and neural networks and then joins them …

In recent years, a great number of publications have explored the use of genetic algorithms
as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this …

Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …

This paper proposes a genetic-algorithm-based method for selecting a small number of
significant fuzzy if-then rules to construct a compact fuzzy classification system with high …

Many approaches have already been proposed for classification and modeling in the
literature. These approaches are usually based on mathematical mod els. Computer …

This paper examines the applicability of genetic algorithms (GA's) in the simultaneous
design of membership functions and rule sets for fuzzy logic controllers. Previous work using …

We examine the performance of a fuzzy genetics-based machine learning method for
multidimensional pattern classification problems with continuous attributes. In our method …

The authors propose an automatic fuzzy system design method that uses a genetic
algorithm and integrates three design stages. The method determines membership …

This paper proposes various methods for constructing a compact fuzzy classification system
consisting of a small number of linguistic classification rules. First we formulate a rule …

We propose a hybrid algorithm of two fuzzy genetics-based machine learning approaches
(ie, Michigan and Pittsburgh) for designing fuzzy rule-based classification systems. First, we …