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A Procedure for Solving a Problem of Classification with Functions for Comparing Multi-Type Features

This paper presents an approach for classifying objects describing via multi-type feature. A problem of classification on based (precedents of) training set. Multi-type features divide several groups, and for each group of features special elementary logical classifiers will be built. Here, the focus is on features expressed by fuzzy sets. Part of the result is a comparison of the values of one fuzzy sign.