Overview
- Novel research results in the emerging area of fuzzy rule based networks
- Written by leading experts in this field State-of-the-Art book
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 259)
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Table of contents (10 chapters)
Keywords
About this book
Reviews
From the reviews:
“The reader is led through the processes in such a way that the next step can almost be anticipated, but is still informative. The reader is led through, for example, a single feedback system then drawn into multiple feedback loops. Of course having dealt with amalgamation of multiple nodes in the earlier chapters, multiple feedback loops hold no fears as the overall strategy isnow clear.” (Chris J. Hinde, Fuzzy Sets and Systems, Vol. 225, 2013)
“We get a complete description of the approach including the formal underpinning, practical examples, case studies and Matlab code to implement aspects of fuzzy networks. … I would like to see the approach used in extremely complex problems and researchers who adopt this approach have enough detail to do that in this book. … provides a comprehensive introduction to fuzzy networks from an eminent researcher in the field. If you are interested in exploring large complex fuzzy systems it is well worth a read.” (Robert John, IEEE Computational Intelligence Magazine, February, 2012)
“The book contain the main motivations for using fuzzy techniques and fuzzy networks, and a formal description of the corresponding fuzzy networks. … will be rewarded with knowledge of new innovative tools, tools which are extremely promising in the challenging area of the analysis of real-life complex systems.” (Vladik Kreinovich, Journal of Intelligent & Fuzzy Systems, Vol. 23, 2012)
Authors and Affiliations
Bibliographic Information
Book Title: Fuzzy Networks for Complex Systems
Book Subtitle: A Modular Rule Base Approach
Authors: Alexander Gegov
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-642-15600-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-15599-4Published: 04 October 2010
Softcover ISBN: 978-3-642-26535-8Published: 05 December 2012
eBook ISBN: 978-3-642-15600-7Published: 30 September 2010
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 290
Number of Illustrations: 289 b/w illustrations, 8 illustrations in colour
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Complex Systems, Statistical Physics and Dynamical Systems