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The book presents an innovative fuzzy network concept, where nodes represent rule bases and their interactions enhance model feasibility and transparency. It explores modular rule bases to optimize accuracy and efficiency in fuzzy modeling of complex systems marked by nonlinearity and uncertainty. The systematic study includes formal models, operations on network nodes, and evaluations of fuzzy networks, supported by examples, case studies, and Matlab software implementations. This concept serves as a link between standard and hierarchical fuzzy systems, advancing the field significantly.
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Fuzzy Networks for Complex Systems, Alexander Gegov
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- 2010
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