About aggregation of imprecise evidence in database

We present a data-driven approach to fuzzy modelling that provides the user with both accurate and transparent rule bases for her/his database. The method has two steps: data exploration by means of fuzzy clustering and fuzzy set aggregation by means of similarity analysis.