Fuzzy Classifier Design, 9783790812985
Hardcover
In some books and journals the word fuzzy is religiously avoided: fuzzy set theory is viewed as a second-hand cheap trick whose aim is nothing else but to devalue good classical theories and open up the way to lazy ignorants and newcomers.

$473.26

  • Hardcover

    315 pages

  • Release Date

    25 April 2000

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Summary

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

ISBN-13:9783790812985
ISBN-10:3790812986
Series:Studies in Fuzziness and Soft Computing
Author:Ludmila I. Kuncheva
Publisher:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:Physica-Verlag GmbH & Co
Format:Hardcover
Number of Pages:315
Edition:2000th
Release Date:25 April 2000
Weight:1.42kg
Dimensions:235mm x 155mm
About The Author

Ludmila I. Kuncheva

LUDMILA I. KUNCHEVA is a Senior Lecturer in the School of Informatics at the University of Wales, Bangor, UK.

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