Intraclass and interclass ambiguities (fuzziness) in feature evaluation

  • Authors:

  • S.K Pal;B Chakraborty

  • Affiliations:

  • Electronics and Communication Sciences Unit, Indian Statistical Institute, Calcutta 700035, India;Electronics and Communication Sciences Unit, Indian Statistical Institute, Calcutta 700035, India

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 1984

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Abstract

The terms Index of fuzziness, Entropy and @p-ness which give measures of fuzziness (ambiguity) in a set are used here to define an Index of Feature Evaluation in pattern recognition problems in terms of intraclass and interclass ambiguity. The index is seen to possess a lower value for the feature having more importance in characterising a class. The algorithm has been implemented on a speech recognition problem.