Belief Merging-Based Case Combination

  • Julien Cojan
  • Jean Lieber
Conference paper

DOI: 10.1007/978-3-642-02998-1_9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5650)
Cite this paper as:
Cojan J., Lieber J. (2009) Belief Merging-Based Case Combination. In: McGinty L., Wilson D.C. (eds) Case-Based Reasoning Research and Development. ICCBR 2009. Lecture Notes in Computer Science, vol 5650. Springer, Berlin, Heidelberg

Abstract

Integrity constraint belief merging aims at producing from several knowledge bases, that may be mutually inconsistent, a synthetic knowledge base satisfying a given integrity constraint. It is applied here to case combination for case-based reasoning. This approach is shown to extend Eyke Hüllermeier’s credible case-based inference and to be reducible under some assumptions to linear programming.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Julien Cojan
    • 1
  • Jean Lieber
    • 1
  1. 1.Orpailleur, LORIA, CNRS, INRIANancy University, BP 239Vandœuvre-lès-Nancy

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