Fuzzy target selection using RFM variables

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 2, Issue , 2001, Pages 1038-1043

  Kaymak, Uzay ^a  

^a ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; LINGUISTICS; MARKETING; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; PROBABILITY; REGRESSION ANALYSIS;

CUSTOMER FEATURES; FUZZY CLUSTERING; FUZZY TARGET SELECTION;

FUZZY SETS;

EID: 0035791947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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3. J. R. Bult. Target Selection for Direct marketing. Ph.D. thesis, Rijksuniversiteit Groningen, Groningen, the Netherlands, Sept. 1993.
4. J. S. Cramer. The Logit Model: an introduction for economists. Edward Arnold, Kent, 1991.
5. D. E. Gustafson and W. C. Kessel. Fuzzy clustering with a fuzzy covariance matrix. In Proc. IEEE CDC, pages 761-766, San Diego, USA, 1979.
6. U. Kaymak and M. Setnes. Extended fuzzy clustering algorithms. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, Netherlands, Nov. 2000. ERS-2000-51-LIS.
7. M. Setnes, R. Babuška, U. Kaymak, and H. R. van Nauta Lemke. Similarity measures in fuzzy rule base simplification. IEEE Transactions on Systems, Man and Cybernetics, Part B, 28(3):376-386, June 1998.
8. M. Setnes and U. Kaymak. Fuzzy modeling of client preference from large data sets: an application to target selection in direct marketing. IEEE Transactions on Fuzzy Systems, 9(1), Feb. 2001.