MATLAB & Simulink Based Books

Complexity Management in Fuzzy Systems: A Rule Base Compression Approach

		Alexander Gegov, University of Portsmouth   Springer,  2007 Tel: 212-460-1500 Fax: 212-460-1575 Email: service-ny@springer.com Outside North America Tel: +49 30 827 87 5431 Fax: +49 30 827 87 5707 ISBN: 978-3-540-38883-8 Language: English

Written for students and engineers, this book focuses on the management of complexity in fuzzy rule-based systems. Rather than rely on semimechanistic simplifications, the book focuses on the assumption that the inherent redundancy in fuzzy systems should be exploited not by empirical trials but through a sound and formal systematic process. Topics covered include basic types of fuzzy rule-based systems, formal manipulation of fuzzy rule-based systems, and formal transformation of feedback rule bases.

In addition, the authors have developed a supplemental set of MATLAB M-files available for download. (MATLAB and the  Fuzzy Logic Toolbox are both required to use the files.)

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