Intraclass and interclass ambiguities (fuzziness) in feature evaluation

The terms Index of fuzziness, Entropy and π-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.