Belief Rough Set Classifier

  • Authors:
  • Salsabil Trabelsi;Zied Elouedi;Pawan Lingras

  • Affiliations:
  • Larodec, Institut Supérieur de Gestion de Tunis, Tunisia;Larodec, Institut Supérieur de Gestion de Tunis, Tunisia;Saint Mary's University Halifax, Canada

  • Venue:
  • Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a new rough set classifier induced from partially uncertain decision system. The proposed classifier aims at simplifying the uncertain decision system and generating more significant belief decision rules for classification process. The uncertainty is reperesented by the belief functions and exists only in the decision attribute and not in condition attribute values.