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Fuzzy Classification of Online Customers

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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.

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Publisher

Cham : Springer., 2015

Collation

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Language

English

ISBN/ISSN

978-3-319-15970-6

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NONE

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Statement of Responsibility

Nicolas Werro

Other Information

Cataloger

Jemadi

Source

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Validator

Jemadi

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-319-15970-6

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