Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics

Stamate, Daniel and Pu, Ida. 2012. 'Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics'. In: 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012. Catania, Italy. [Conference or Workshop Item]

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Abstract or Description

We present an approach to reasoning non-uniformly by default with uncertain, incomplete and inconsistent information using sets of rules/extended logic programs in the context of multivalued logics with a bilattice structure. A fixpoint semantics for extended logic programs used in the process of inference is described, along with its computational approach. We show how this theoretic approach is applicable to the problem of integration of imperfect information coming from multiple sources.

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Conference or Workshop Item (Paper)

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Event Location:

Catania, Italy

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Date Deposited:

31 Oct 2013 09:40

Last Modified:

20 Jun 2017 13:09


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