<p>From the reviews:</p><p>“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)</p><p>“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)</p><p>“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)</p>