Fuzzy target selection in direct marketing

Author

Setnes, M. ; Kaymak, U. ; van Nauta Lemke, H.R.

Author_Institution

Fac. of Inf. Technol. & Syst., Delft Univ. of Technol., Netherlands

fYear

1998

fDate

29-31 Mar 1998

Firstpage

92

Lastpage

97

Abstract

Discusses some essential requirements for the introduction of computational intelligence techniques in the field of financial services, and reports on an investigation carried out concerning the possibilities and expected success of using fuzzy systems in some business chapters of the Dutch ING group. Based on this investigation, the subject of direct marketing is chosen for a pilot study of the application of data-driven modeling techniques using fuzzy clustering and iterative gain-charts refinement. This is compared with the present practice using statistical tools

Keywords

artificial intelligence; fuzzy systems; iterative methods; marketing; marketing data processing; Dutch ING group; business; computational intelligence techniques; data-driven modeling techniques; direct marketing; financial services; fuzzy clustering; fuzzy systems; fuzzy target selection; iterative gain-charts refinement; statistical tools; Computational intelligence; Councils; Databases; Fuzzy systems; Information technology; Neural networks; Personnel; Process design; Production; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Financial Engineering (CIFEr), 1998. Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on

Conference_Location

New York, NY

Print_ISBN

0-7803-4930-X

Type

conf

DOI

10.1109/CIFER.1998.690027

Filename

690027