CALIBRA for fuzzy concepts

This paper presents a system for calibration of the involved parameters in the classification and characterization process of fuzzy concepts that use t-norm differentiable and related membership families for the definition of characterizing functions. An empirical evaluation using the data set iris shows the comparability with the classical methods of classification. We also make a conjecture that relate any continuous membership function with the defined families.