Fuzzy-evolutionary modeling of customer behavior for business intelligence

This chapter describes the application of evolutionary algorithms to induce predictive models of customer behavior in a business environment. Predictive models are expressed as fuzzy rule bases, which have the interesting property of being easy to interpret for a human expert, while providing satisfactory accuracy. The details of an island-based distributed evolutionary algorithm for fuzzy model induction are presented and a case study is used to illustrate the effectiveness of the approach