Classification performances of extreme learning machine with choquet integral

Abstract

The Choquet integral is a kind of fuzzy integral with respect to fuzzy measure that reflects the interaction of the features. So Choquet integral has been generally applied in classification and multiple classifier fusion, when the interactions exist in the group of features. The difficult step is the learning of the fuzzy measure used in Choquet integral classifier. The ELM technique is used to settle this problem and the ELM Choquet integral classifier is proposed in this chapter. The implementations and performances of ELM Choquet integral classifier and single Choquet integral classifier are compared by a number of experiments on some data sets.