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Fuzzy Classifier Design

Ludmila I. Kuncheva · 2000

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About the 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.

Book details

Year
2000
Language
English
Series
Studies in Fuzziness and Soft Computing -- 49
Publisher
Physica-Verlag HD
Editions
1
Pages
315
ISBN
9783790824728

Data source: Wikidata

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