An inductive fuzzy classification approach applied to individual marketing

Author

Kaufmann, Michael ; Meier, Andreas

Author_Institution

Res. Center for Fuzzy Marketing Methods, Univ. of Fribourg, Fribourg, Switzerland

fYear

2009

fDate

14-17 June 2009

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

data analysis; fuzzy set theory; learning by example; marketing data processing; pattern classification; fuzzy data analysis; individual marketing; inductive fuzzy classification; membership function induction; normalized likelihood ratio; predictive analytics; Data analysis; Data mining; Data warehouses; Databases; Fuzzy logic; Fuzzy reasoning; Humans; Information processing; Predictive models; Regression analysis; Fuzzy Data Analysis; Fuzzy Marketing Methods; Fuzzy Target Groups; Individual Marketing; Inductive Fuzzy Classification; Predictive Analytics;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American

Conference_Location

Cincinnati, OH

Print_ISBN

978-1-4244-4575-2

Electronic_ISBN

978-1-4244-4577-6

Type

conf

DOI

10.1109/NAFIPS.2009.5156393

Filename

5156393