Abstract
In this paper a method of designing a pattern classifier in the presence of fuzzy data (patterns represented in a linguistic manner) is provided. The classifier formulas are studied in a general setting of fuzzy relation equations. Special attention is focused on feature ordering while coping with fuzziness.