Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods

Classifier Combination has been investigated as an alternative to obtain improvements in design and/or accuracy for difficult pattern recognition problems. In the literature, many combination methods and algorithms have been developed, 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.