Frequency based class representation of fuzzy sets and its relation to Bayes classifiers
Intervenant(s) : Anca RALESCU (University of Cincinnati, USA)
We present an approach to obtain class representing fuzzy sets based on the frequency distribution of the class elements. After a brief discussion on the properties of this approach we look at the Bayesian approach, also frequency based, for class representation and compare these two approaches.
Javier.Diaz (at) nulllip6.fr