Overview
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.
Full Product Details
Author: Nicolas Werro
Publisher: Springer International Publishing AG
Imprint: Springer International Publishing AG
Edition: Softcover reprint of the original 1st ed. 2015
Dimensions:
Width: 15.50cm
, Height: 0.80cm
, Length: 23.50cm
Weight: 2.467kg
ISBN: 9783319367149
ISBN 10: 3319367145
Pages: 141
Publication Date: 06 October 2016
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
The book provides the reader systematic yet incremental exposure to the concepts of fuzziness in decision making through grounding theories of set theory and extended relational database schema with fuzzy classification. ... the book, which is based on Werro's thesis work, will attract the attention of researchers and practitioners. Case-based discussions enhance the usefulness of the concepts and will benefit readers. (Harekrishna Misra, Computing Reviews, October, 2015)
Author Information
Nicolas Werro is currently ""Head of Business Analytics"" in the ""Big Data and Business Intelligence"" department of Swisscom AG. He achieved his PhD thesis in 2008 at the University of Fribourg in the research group ""Information Systems"" led by Professor Andreas Meier, where he has been assistant until the end of 2007. Before starting his doctoral studies, Nicolas Werro achieved a diploma degree in Computer Science and Economics as well as a master degree in Computer Science from the University of Fribourg.
