The representation of importance and interaction of features by fuzzy measures

  • Authors:
  • Michel Grabisch

  • Affiliations:
  • -

  • Venue:
  • Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
  • Year:
  • 1996

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Abstract

We present a new technique for pattern recognition by fuzzy integral, and show how to estimate importance of features, and their interaction. Reciprocally, it is shown how to use expert information about importance and interaction of features to improve recognition.