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Book synopsis

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

Book category Books in English Mathematics & science Mathematics Mathematical foundations

• Full title: Fuzzy Classifier Design
• Author: Ludmila I. Kuncheva
• Language: English
• Binding: Hardback
• Number of pages: 315
• EAN: 9783790812985
• ISBN: 3790812986
• ID: 01737766
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 1420 g
• Dimensions: 235 × 155 × 23 mm
• Date of publishing: 26. April 2000

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