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. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Cojan, J., & Lieber, J. (2009). Belief merging-based case combination. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5650 LNAI, pp. 105–119). https://doi.org/10.1007/978-3-642-02998-1_9
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