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Fuzzy Set Theoretic Measure for Automatic Feature Evaluation

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2 Author(s)
Sankar K. Pal ; Electronics and Communication Science Unit, Indian Statistical Institute, 203 Barrackpore Trunk Road, Calcutta 700035, India ; Basabi Chakraborty

The terms index of fuzziness, entropy, and ¿-ness, which give measures of fuzziness in a set, are used to define an index of feature evaluation in pattern recognition problems in terms of their intraclass and interclass measures. The index value decreases as the reliability of a feature in characterizing and discriminating different classes increases. The algorithm developed has been implemented in cases of vowel and plosive identification problem using formant frequencies and different S and ¿ membership functions.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics  (Volume:16 ,  Issue: 5 )