Fuzzy Networks for Complex Systems: A Modular Rule Base Approach

Author:   Alexander Gegov
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Volume:   259
ISBN:  

9783642155994


Pages:   290
Publication Date:   04 October 2010
Format:   Hardback
Availability:   Awaiting stock   Availability explained
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Fuzzy Networks for Complex Systems: A Modular Rule Base Approach


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Full Product Details

Author:   Alexander Gegov
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Volume:   259
Dimensions:   Width: 15.50cm , Height: 2.20cm , Length: 23.50cm
Weight:   0.679kg
ISBN:  

9783642155994


ISBN 10:   3642155995
Pages:   290
Publication Date:   04 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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From the reviews: 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)


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)


From the reviews: 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)


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