2008Computer and ModernizationRequires access

Customer Relationship Management Based on Rough Set Theory

Yugang Niu

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Abstract

Rough set theory is a new data mining decision analysis method.Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.The basic concepts of rough set theory are introduced.The significance of the condition attribute for the whole decision table is defined by decision attribute support degree.As heuristic information,minimal decision rule acquirement based on rough set theory is researched.The proposed method is applied to customer sort and gives policymakers a new decision method for customer relationship management.

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What this paper is about

Rough set theory is a new data mining decision analysis method.Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.The basic concepts of rough set theory are introduced.The significance of the condition attribute for the whole decision table is defined by decision attribute support degree.As heuristic information,minimal decision rule acquirement based on rough set theory is researched.The proposed method is applied to customer sort and gives policymakers a new decision method for customer relationship management.

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Available abstract

Rough set theory is a new data mining decision analysis method.Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.The basic concepts of rough set theory are introduced.The significance of the condition attribute for the whole decision table is defined by decision attribute support degree.As heuristic information,minimal decision rule acquirement based on rough set theory is researched.The proposed method is applied to customer sort and gives policymakers a new decision method for customer relationship management.

Key concepts: Rough set, Computer science, Dominance-based rough set approach, Decision table, sort, Data mining, Decision rule, Heuristic

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