Possibilistic Networks with Locally Weighted Knowledge Bases

نویسندگان

  • Salem Benferhat
  • Salma Smaoui
چکیده

Possibilistic networks and possibilistic logic bases are important tools to deal with uncertain pieces of information. Both of them offer a compact representation of possibility distributions. This paper studies a new representation format, called hybrid possibilistic networks, which cover both standard possibilistic networks and possibilistic knowledge bases. An adaptation of propagation algorithm for singly (resp. multiply) connected hybrid possibilistic networks is provided.

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تاریخ انتشار 2005