Theoretical Advances and Applications of Fuzzy Logic and Soft Computing (Advances in Intelligent and Soft Computing, 42)

ISBN 10: 3540724338 / ISBN 13: 9783540724339

Published by Springer, 2007

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Bibliographic Details

• Title: Theoretical Advances and Applications of Fuzzy Logic and Soft Computing (Advances in Intelligent and Soft Computing, 42)
• Publisher: Springer
• Publication Date: 2007
• Language: English
• ISBN 10: 3540724338
• ISBN 13: 9783540724339
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This book comprises a selection of papers from IFSA 2007 on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies. Soft Computing c- sists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. The papers of IFSA 2007 also make a c- tribution to this goal. This book is intended to be a major reference for scientists and engineers interested in applying new fuzzy logic and soft computing tools to achieve intelligent solution to complex problems. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the papers contained in the book. The book is divided in to sixteen main parts. Each part contains a set of papers on a common subject, so that the reader can find similar papers grouped together. Some of these parts are comprised from the papers of organized sessions of IFSA 2007 and we thank the session’s organizers for their incredible job on forming these sessions with invited and regular paper submissions.

From the Back Cover

This book comprises a selection of papers from the IFSA 2007 World Congress on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies. Soft Computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. Applications range from pattern recognition to intelligent control and sow the advantages of using soft computing theory and methods. The papers of IFSA 2007 also make a contribution to this goal.