Title :
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
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;
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
DOI :
10.1109/CIFER.1998.690027
