Soft Techniques for Bayesian Classification
Robert K. Nowicki, Leszek Rutkowski · 2003
In this paper we present a neuro-fuzzy classifier performing a Bayes decision function. The classifier is based on a neuro-fuzzy structure. The rough set theory is incorporated into this structure. It will be shown that a new hybrid system, i.e. rough-neuro-fuzzy classifier, is able to perform classification in the case of missing features. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.