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.
By:
Ludmila I. Kuncheva Imprint: Physica-Verlag GmbH & Co Country of Publication: Germany Edition: 2000 ed. Volume: 49 Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 19mm
Weight: 1.420kg ISBN:9783790812985 ISBN 10: 3790812986 Series:Studies in Fuzziness and Soft Computing Pages: 315 Publication Date:26 April 2000 Audience:
College/higher education
,
Professional and scholarly
,
Further / Higher Education
,
Undergraduate
Format:Hardback Publisher's Status: Active