A genetic integrated fuzzy classifier

  • Authors:
  • Vito Di Gesù;Giosuè Lo Bosco

  • Affiliations:
  • Universití di Palermo, Dipartimento di Matematica ed Applicazioni, Via Archirafi 34, 90123 Palermo, Italy;Universití di Palermo, Dipartimento di Matematica ed Applicazioni, Via Archirafi 34, 90123 Palermo, Italy

  • Venue:
  • Pattern Recognition Letters - Special issue: Advances in pattern recognition
  • Year:
  • 2005

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Abstract

This paper introduces a new classifier, that is based on fuzzy-integration schemes controlled by a genetic optimisation procedure. Two different types of integration are proposed here, and are validated by experiments on real data sets of biological cells. The performance of our classifier is tested against a feed-forward neural network and a Support Vector Machine. Results show the good performance and robustness of the integrated classifier strategies.