Rough Set Application in Customer Classification


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Based on the study of customer relationship management. First, we got the data from the database, transformed the corresponding decision table, then got the data in decision-making table for further simplification, generated the final decision rules. and got good results, experimental results showed that the method provided some practical value.



Edited by:

Yanwen Wu




J. Li et al., "Rough Set Application in Customer Classification", Advanced Materials Research, Vol. 267, pp. 46-49, 2011

Online since:

June 2011




[1] Wang Xing, Niu Yugang, rough set theory based on customer relationship management, Shanghai: East China University of Information Science and Engineering, (2008).

[2] David Hand, Heikki Mannila, Padhraic Smyth, Principles of Data Mining, Machine Press Society, April (2003).

[3] He Rongqin, CRM principles, design, practice, Electronic Industry Press, January (2003).

[4] Newell, Frederick. Loyalty. com: Customer Relationship Management in the New Era of Internet Marking. New York: McGraw-Hill, (1999).

[5] Wang Biao, Duan Lun Chan, Wu Hao, Song Yonggang, rough sets and fuzzy sets and its application, Beijing: Electronic Industry Press , 2008, 59-62, 1-2, 2 -6, 172-173, 8-10.