A new data pre-processing approach for the dendritic cellalgorithm based on fuzzy rough set theory

Authors:
Zeineb Chelly;Zied Elouedi
Affiliations:
University of Tunis, Institut Supérieur de Gestion of Tunis, Tunis, Tunisia;University of Tunis, Institut Supérieur de Gestion of Tunis, Tunis, Tunisia
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

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Abstract

The aim of this paper is to develop a new data pre-processing method for the dendritic cell algorithm (DCA) based on Fuzzy Rough Set Theory (FRST). In this new fuzzy-rough model, the data pre-processing phase is based on the fuzzy positive region and the fuzzy dependency degree concepts. Results show that applying FRST is more convenient for the DCA data pre-processing phase yielding much better performance in terms of accuracy.