Decision-theoretic rough set model is a typical probabilistic rough set model. The 7th Multi-Disciplinary Workshop on Artificial Intelligence (MIWAI 2013) keeps on inviting the submission of original and unpublished research papers. This special session aims to bring together researchers and practitioners in the field of probabilistic rough sets, decision-theoretic rough set model, three-way decisions and its applications. Three-way decisions method with probabilistic rough sets provide a meaningful semantics interpretation of the three regions in the rough set theory. A broad scope of research on the three-way decisions and probabilistic rough sets will contribute to a better understanding of the essentials of rough set theory and effective applications in decision theory. In recent work, the three-way decisions and probabilistic rough sets have been successfully used for decision analysis, decision making, cluster analysis, information filtering, Web-based support systems, attribute reduction, multi-criteria classification and multi-view decision models. The Special Session will encourage all research work related to the three-way decisions method and probabilistic rough sets theory and applications.
Scope and Topics
Topics of this session focus on the following fields (but not limited to):