An inductive fuzzy classification approach applied to individual marketing

A new methodology for the induction of membership functions for fuzzy classification is introduced. The induction step is based on deriving membership functions from normalized likelihood ratios of target class membership. A case study is presented where this fuzzy data analysis process is applied in predictive analytics for an individual marketing campaign in the online channel of a financial service provider by selecting fuzzy target groups in a data warehouse.