Abstract

The problem of searching for hidden patterns in a sample of objects described by the initial and combined features is considered. The knowledge obtained on the basis of dividing the values of quantitative attributes into intervals is presented in the form of a set offuzzy inference rules. The methodology of using these rules for decision making is described.

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