The Ph.D. thesis of Nicolas Werro introduces a fuzzy classification approach that combines relational databases with fuzzy logic for more effective and powerful customer relationship management. It shows the benefits of fuzzy classification compared to traditional sharp customer evaluation for the acquisition, retention, and recovery of customers in online stores. A detailed case study presents the application, and a separate chapter introduces the fuzzy classification query language toolkit to implement these concepts.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Customer Classification

  • Nicolas Werro

摘要

The Ph.D. thesis of Nicolas Werro introduces a fuzzy classification approach that combines relational databases with fuzzy logic for more effective and powerful customer relationship management. It shows the benefits of fuzzy classification compared to traditional sharp customer evaluation for the acquisition, retention, and recovery of customers in online stores. A detailed case study presents the application, and a separate chapter introduces the fuzzy classification query language toolkit to implement these concepts.