An Inductive Fuzzy Classification Approach applied to Individual Marketing

被引：0

作者：

Kaufmann, Michael ^{[1
]}

Meier, Andreas ^{[1
]}

机构：

[1] Univ Fribourg, Res Ctr Fuzzy Mkt Methods, CH-1700 Fribourg, Switzerland

来源：

2009 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY | 2009年

关键词：

Fuzzy Data Analysis; Inductive Fuzzy Classification; Predictive Analytics; Individual Marketing; Fuzzy Target Groups; Fuzzy Marketing Methods; RULES;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new methodology for the induction of membership functions for fuzzy classification is introduced. The induction step is based on deriving membership functions from normalized likelihood ratios of target class membership. A case study is presented where this fuzzy data analysis process is applied in predictive analytics for an individual marketing campaign in the online channel of a financial service provider by selecting fuzzy target groups in a data warehouse.

引用

页码：46 / 51

页数：6

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