Inductive Fuzzy Classification in Marketing Analytics

Focusing on the application of fuzzy logic in marketing analytics, this book explores how approximate and inductive reasoning can manage uncertainty in marketing models. It combines practical insights and theoretical foundations to explain fuzzy classification and inductive logic, introducing a hybrid approach of Bayesian and Fuzzy Set methodologies. The author provides guidance on customer segmentation to improve targeted marketing campaigns and presents algorithms for visualization and prediction. Ideal for researchers and analytics professionals, it emphasizes the value of fuzzy target groups in customer analytics.