An Experimental Study on the Importance of the Choice of the Ensemble Members in Fuzzy Combination Methods

In the context of ensembles or multi-classifier systems, many combination methods and algorithms have been developed in the literature, including methods based on fuzzy sets. This paper presents an evaluation of how the choice of the components (classifiers) can affect the accuracy of some fuzzy combination methods. The main aim of this analysis is to investigate whether or not fuzzy combination methods are less affected by the choice of the ensemble members than the non-fuzzy methods.