| 書目名稱 | Fuzzy Classification of Online Customers | | 編輯 | Nicolas Werro | | 視頻video | http://file.papertrans.cn/352/351174/351174.mp4 | | 概述 | First book to apply the concept of fuzziness to CRM.Presents a practical approach to customer positioning for mass customization and personalization.Includes a detailed case study.Includes supplementa | | 叢書名稱 | Fuzzy Management Methods | | 圖書封面 |  | | 描述 | .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 qu | | 出版日期 | Book 2015 | | 關(guān)鍵詞 | Analytical CRM; Collaborative CRM; Customer profiles; Fuzzy sets; Mass customization; Personalization | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-15970-6 | | isbn_softcover | 978-3-319-36714-9 | | isbn_ebook | 978-3-319-15970-6Series ISSN 2196-4130 Series E-ISSN 2196-4149 | | issn_series | 2196-4130 | | copyright | Springer International Publishing Switzerland 2015 |
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