A non-local coarsening result in granular probabilistic networks

  • Authors:
  • Cory J. Butz;Hong Yao;Howard J. Hamilton

  • Affiliations:
  • Department of Computer Science, University of Regina, Regina, Canada;Department of Computer Science, University of Regina, Regina, Canada;Department of Computer Science, University of Regina, Regina, Canada

  • Venue:
  • RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
  • Year:
  • 2003

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Abstract

In our earlier works, we coined the phrase granular probabilistic reasoning and showed a local coarsening result. In this paper, we present a non-local method for coarsening variables (i.e., the variables are spread throughout the network) and establish its correctness.