Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

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Preface

The book’s modeling methodologies are based on my experiences in

building and implementing models over the past thirty years for a wide

spectrum of clients in the public and private sectors. It incorporates those

techniques and methods that have proven successful but also highlights

approaches that have proven less successful. Because the methods are

derived from established computer science and computational intelli-

gence techniques, as well as more general “heuristics” in the analysis

of processes and the representation of knowledge, the book is intended

to serve as a handbook for working analysts who need to build and deliver

working models in the commercial and public policy environments.

Objectives and Audience

This book presents a