An Optimization Method for the Data Space Partition Obtained by Classification Techniques for the Monitoring of Dynamic Processes

Authors:
C. Isaza;J. Aguilar-Martin;M. V. Le Lann;J. Aguilar;A. Rios-Bolivar
Affiliations:
LAAS-CNRS, 7, Avenue du Colonel Roche, 31077 Toulouse, France, {cisaza, aguilar, mvlelann}@laas.fr;LAAS-CNRS, 7, Avenue du Colonel Roche, 31077 Toulouse, France, {cisaza, aguilar, mvlelann}@laas.fr;LAAS-CNRS, 7, Avenue du Colonel Roche, 31077 Toulouse, France, {cisaza, aguilar, mvlelann}@laas.fr and Université de Toulouse, INSA, 135, Avenue de Rangueil, 31077 Toulouse, France;Universidad de los Andes, CEMISID, Merida, Venezuela, {aguilar, ilich}@ula.ve;Universidad de los Andes, CEMISID, Merida, Venezuela, {aguilar, ilich}@ula.ve
Venue:
Proceedings of the 2006 conference on Artificial Intelligence Research and Development
Year:
2006

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Abstract

In this paper, a new method for the automatic optimization of the classes obtained by application of fuzzy classification techniques is presented. We propose the automatic validation and adjustment of the partition obtained. The new approach is independent of the type of fuzzy classification technique and can be applied in the supervision of complex processes.