Fuzzy set theoretic measure for automatic feature evaluation

Pal, S. K. ; Chakraborty, B. (1986) Fuzzy set theoretic measure for automatic feature evaluation IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 16 (5). pp. 754-760. ISSN 1083-4427

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Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...

Related URL: http://dx.doi.org/10.1109/TSMC.1986.289321


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.

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