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Pattern Classification Based on Fuzzy Relations

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3 Author(s)
Shinichi Tamura ; Department of Information and Computer Sciences, Faculty of Engineering Science, Osaka University, Toyonaka, Japan 560. ; Seihaku Higuchi ; Kokichi Tanaka

A method of classifying patterns using fuzzy relations is described. To start with, we give a suitable value of the measure of subjective similarity to each pair of patterns that is taken from the population of patterns to be classified. Then a similitude between any two patterns is calculated by using the composition of a fuzzy relation. The similitude induces an equivalence relation. Consequently, we can classify the present population of the patterns into some classes by the equivalence relation. An experiment of the classification of portraits has been performed to test the method proposed here.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics  (Volume:SMC-1 ,  Issue: 1 )