Construction of Customer Classification Model Based on Inconsistent Decision Table

Provided by: International Academy Publishing (IAP)
Topic: Data Management
Format: PDF
The rough set since proposed has obtained the successful application in each domain. It theoretically has the profound significance and the application. Without doubt is one kind of new challenge. This paper studied the reduction method which can process the inconsistent policy-making table directly. This paper has studied customer classification forecast model which is based on the rough set. Mainly take the rough set theory as the foundation, first gains the data from the CRM system, and convert them into relevant decision table. Secondly, the authors complete and discretize the data in the decision table. Thirdly, they reduce the attribute and value. Lastly, they can conclude rules for making decision and establish logic ratiocination system.

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