Why fuzzy in data mining?

Fuzzy - as has been emphasized by Zadeh - is a human interface, a link between human judgement and machine information processing. It represents an approach for experimentation with the sensitivity of human classification, i.e. the notion of adding tacit semantic knowledge (Polanyi) to search procedures in data banks. A brute force algorithm operates on data grading and creating clusters, class structures based on highly variable numbers and the setting of different functions for the refinement of class granulation (sensitivity classes, e.g. Weber-Fechner perception law), tolerances etc. The method was successfully applied in a medical database for the research of hidden interactions in brain development and in investigating emerging phenomena of European countries joining currently the EU