TY - BOOK AU - Werro,Nicolas ED - SpringerLink (Online service) TI - Fuzzy Classification of Online Customers T2 - Fuzzy Management Methods, SN - 9783319159706 AV - HF54.5-54.56 U1 - 650 23 PY - 2015/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Business KW - Marketing KW - Information technology KW - Data processing KW - Sales management KW - E-commerce KW - Business and Management KW - IT in Business KW - e-Commerce/e-business KW - Sales/Distribution KW - Electronic books KW - local N1 - Introduction -- Fuzzy Set Theory -- Relational Databases and Fuzzy Classification -- Customer Relationship Management -- Fuzzy Customer Classes -- Fuzzy Classification Applied to Online Shops -- fCQL Toolkit -- Conclusion N2 - This book introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more effective and powerful customer relationship management (CRM). It shows the benefits of a fuzzy classification in contrast to the traditional sharp evaluation of customers for the acquisition, retention and recovery of customers in online shops. The book starts with a presentation of the basic concepts, fuzzy set theory, and the combination of relational databases and fuzzy classification. In its second part, it focuses on the customer perspective, detailing the central concepts of CRM, its theoretical constructs and aspects of analytical, operational and collaborative CRM. It juxtaposes fuzzy and sharp customer classes and shows the implications for customer positioning, mass customization, personalization, customer assessment and controlling. Finally, the book presents the application and implementation of the concepts in online shops. A detailed case study presents the application and a separate chapter introduces the fuzzy Classification Query Language (fCQL) toolkit for implementing these concepts. In its appendix the book lists the fuzzy set operators and the query language’s grammar UR - http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-3-319-15970-6 ER -