This book provides a unified approach for developing a fuzzy
classifier and explains the advantages and disadvantages of
different classifiers through extensive performance evaluation of
real data sets. It thus offers new learning paradigms for analyzing
neural networks and fuzzy systems, while training fuzzy
classifiers. Function approximation is also treated and function
approximators are compared.
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