Fuzzy Modelling Methodologies for Large Database

Authors:
Virgilio López Morales;Julio Cesar Ramos Fernández;Gilles Enea;Jean Duplaix
Affiliations:
Universidad Autonoma del Edo. de Hidalgo, CITIS, Carr. Pachuca-Tulancingo Km. 4.5, 42184, Pachuca, Hgo., Mexico;Universidad Tecnologica Tula Tepeji, Carr. Tula-Tepeji, Km. 8, Col. El 61, Ejido El Carmen, Tula de Allende, Hgo., Mexico;Laboratoire des Sciences de l'Information et des Systemes UMR-CNRS6168, Univ. du Sud Toulon Var, France;Laboratoire des Sciences de l'Information et des Systemes UMR-CNRS6168, Univ. du Sud Toulon Var, France
Venue:
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Year:
2007

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Abstract

In this paper we analyze two recent modelling methodologies: one based on a database preprocessing and then, the application of the fuzzy C-means to highlight useful characteristics used in target selection for direct marketing which is our first study case. The second one is based on fuzzy clustering and cubic splines in the rule consequents. Some examples are given in order to illustrate the advantages and drawbacks of these methods.