Inductive Fuzzy Classification in Marketing Analytics

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Focusing on the application of fuzzy logic in marketing analytics, the book explores how approximate and inductive reasoning can address uncertainty in marketing models. It combines practical insights from the author's experience as a data analyst with theoretical research, detailing fuzzy classification and inductive logic. By integrating Bayesian and Fuzzy Set approaches, it provides methods for customer segmentation that enhance targeted marketing effectiveness. The algorithms introduced facilitate visualization, selection, and prediction, making this resource valuable for researchers, analytics professionals, and students.