multicriteria and clustering classification techniques in practice. Further, it presents some of the most common methodologies for …

establishes a classification of the vast landscape of co-creation, co-design, co-production, interactive value creation and mass …. Contents Basic Principles of Branding and Brand Management Classification of Customer Integration Analysis of Benefit and …

This book presents machine learning models and algorithms to address big data classification problems. Existing machine …

Introduction -- Fuzzy Set Theory -- Relational Databases and Fuzzy Classification -- Customer Relationship Management … -- Fuzzy Customer Classes -- Fuzzy Classification Applied to Online Shops -- fCQL Toolkit -- Conclusion. …This book introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more …

marketing models. This book demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns … classification, inductive logic, and the concept of likelihood, and introduces a blend of Bayesian and Fuzzy Set approaches, allowing … fuzzy classification for marketing analytics. …

Diagnosis-related groups (DRGs) are used in hospitals for the reimbursement of inpatient services. The assignment of a … patient to a DRG can be distinguished into billing- and operations-driven DRG classification. The topic of this monograph is … operations-driven DRG classification, in which DRGs of inpatients are employed to improve contribution margin-based patient …