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Proceedings Paper

Minimizing both dropped formulas and concepts in knowledge fusion
Author(s): Éric Grégoire
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Paper Abstract

In this paper, a new family of approaches to fuse inconsistent knowledge sources is introduced in a standard logical setting. They combine two preference criteria to arbitrate between conflicting information: the minimization of falsified formulas and the minimization of the number of the different atoms that are involved in those formulas. Although these criteria exhibit a syntactical flavor, the approaches are semantically-defined.

Paper Details

Date Published: 18 April 2006
PDF: 6 pages
Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420K (18 April 2006); doi: 10.1117/12.664875
Show Author Affiliations
Éric Grégoire, CRIL, CNRS, and IRCICA, Univ. d'Artois (France)


Published in SPIE Proceedings Vol. 6242:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006
Belur V. Dasarathy, Editor(s)

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