Hierarchical Modelling of Data Inherent Structures Using Networks of Fuzzy Classifiers

This work is dedicated to a network oriented modelling approach based on the interconnection of multivariate Fuzzy Pattern Classifier nodes. The main point is the elaboration of a data driven and hierarchical design strategy for such fuzzy classifier network models. In detail two essential issues will be dealt with: the automatic layout of the network and the configuration of the classifier nodes. Both issues are addressed using a multiple cluster analysis approach. Finally the network design and operation ARE illustrated within the scope of an practical example.