Using consensus methodology in processing inconsistency of knowledge

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Abstract

This paper presents two structures for representing inconsistency of knowledge on semantic level. The first structure is based on relational model, which is multi-valued and multi-attribute. This structure has been analyzed in the earlier literature. For the second structure (called logical structure) in the From of clauses this work presents its semantics, the way for distance calculating and the algorithm for consensus computing. The future work should concern working out algorithm for determining O2-consensus for inconsistent knowledge in logical structure. © Springer-Verlag Berlin Heidelberg 2006.

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Nguyen, N. T. (2006). Using consensus methodology in processing inconsistency of knowledge. Studies in Computational Intelligence, 23, 161–170. https://doi.org/10.1007/3-540-33880-2_17

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