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Fuzzy Classifier Design

by Ludmila I. Kuncheva (2000)

About this book

This book about fuzzy classifier design briefly introduces the fundamentals of supervised pattern recognition and fuzzy set theory. Fuzzy if-then classifiers are defined and some theoretical properties thereof are studied. Popular training algorithms are detailed. Non if-then fuzzy classifiers include relational, k-nearest neighbor, prototype-based designs, etc. A chapter on multiple classifier combination discusses fuzzy and non-fuzzy models for fusion and selection.

Setting / LocationGlobal
Story EraModern Era
Protagonist / CoreFuzzy Classifier Design Lead Character

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