On the Generalizations of the Choquet Integral for Application in FRBCs

An effective way to cope with classification problems, among others, is by using Fuzzy Rule-Based Classification Systems (FRBCSs). These systems are composed two main components, the Knowledge Base (KB) and Reasoning Method (FRM). The FRM responsible for performing of new examples based on information stored in KB. A key point how given fired fuzzy rules aggregated. Precisely, aggregation function component that differs from most widely used FRMs specialized literature. In this paper we provide a revision literature discussing generalizations Choquet integral has been applied FRBCS. To do so, consider an analysis different generalizations, t-norms, copulas, F functions. Also, contributions each generalization discussed.