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Syntactic combination of uncertain information: A possibilistic approach

  • Salem Benferhat
  • Didier Dubois
  • Henri Prade
Invited Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1244)

Abstract

This paper proposes syntactic combination rules for merging uncertain propositional knowledge bases provided by different sources of information, in the framework of possibilistic logic. These rules are the counterparts of combination rules which can be applied to the possibility distributions (defined on the set of possible worlds), which represent the semantics of each propositional knowledge base. Combination modes taking into account the levels of conflict, the relative reliability of the sources, or having reinforcement effects are considered.

Keywords

Belief Revision Combination Rule Possibility Distribution Combination Mode Possibilistic Logic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Salem Benferhat
    • 1
  • Didier Dubois
    • 1
  • Henri Prade
    • 1
  1. 1.Institut de Recherche en Informatique de Toulouse (I.R.I.T.)Université Paul SabatierToulouse 4France

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