A multi-agent decision-theoretic rough set model

  • Authors:

  • Xiaoping Yang;Jingtao Yao

  • Affiliations:

  • School of Mathematics, Physics & Information Science, Zhejiang Ocean University, Zhoushan, Zhejiang, P.R. China and Department of Computer Science, University of Regina, Regina, Saskatchewan, ...;Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada

  • Venue:
  • RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
  • Year:
  • 2010

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Abstract

The decision-theoretic rough set (DTRS) model considers cost and risk factors when classifying an equivalence class into a particular region. Using DTRS, informative decisions with rough rules can be made. The current research has a focus on single agent decision makings. We propose a multi-agent DTRS model in this paper. This model seeks synthesized or consensus decision when there are multiple sets of decision preferences and criteria adopted by different agents. A set of rough decision rules that are satisfied by multiple agents can be derived from the multi-agent decision-theoretic rough set model.