We extend the self-organizing map to a supervised fuzzy classification method. On the one hand, this leads to a robust classifier where efficient learning of fuzzy labeled or partially contradictory data is possible. On the other hand, class similarities may be detected. Further, we integrate the parametrized functional metric as data similarity measure into the approach. Parametrization of this functional metric allows relevance learning for efficient classification and feature selection.