Fuzzy Classifier Design

  • Authors:
  • Ludmila I. Kuncheva

  • Affiliations:
  • -

  • Venue:
  • Fuzzy Classifier Design
  • Year:
  • 2010

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Abstract

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.