Uncertainty in Artificial Intelligence
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Merging Uncertain Knowledge Bases in a Possibilistic Logic Framework
Salem Benferhat, Claudio Sossai
Abstract:
This paper addresses the problem of merging uncertain information in the framework of possibilistic logic. It presents several syntactic combination rules to merge possibilistic knowledge bases, provided by different sources, into a new possibilistic knowledge base. These combination rules are first described at the meta-level outside the language of possibilistic logic. Next, an extension of possibilistic logic, where the combination rules are inside the language, is proposed. A proof system in a sequent form, which is sound and complete with respect to the possibilistic logic semantics, is given.
Keywords: Data fusion, merging, possibilistic logic.
Pages: 8-15
PS Link:
PDF Link: /papers/98/p8-benferhat.pdf
BibTex:
@INPROCEEDINGS{Benferhat98,
AUTHOR = "Salem Benferhat and Claudio Sossai",
TITLE = "Merging Uncertain Knowledge Bases in a Possibilistic Logic Framework",
BOOKTITLE = "Proceedings of the Fourteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-98)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1998",
PAGES = "8--15"
}


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