Abstract
Conflicts may appear during knowledge processing, where some knowledge pieces are different but they refer to the same subject. Consensus methods are useful in processing inconsistent knowledge. However, for almost conflict situations consensus may be determined but it is not always sensible. In this paper we investigate the aspect of reasonableness of consensus. For this aim we define two notions: consensus susceptibility and consistency measure. Owing to them one may get to know when it is worth to determine a consensus for a conflict. We show the dependencies between consistency and the consensus susceptibility for conflict situations. Some results of the analysis are presented.
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Nguyen, N.T., Malowiecki, M. (2005). Using Consensus Susceptibility and Consistency Measures for Inconsistent Knowledge Management. In: Ho, T.B., Cheung, D., Liu, H. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2005. Lecture Notes in Computer Science(), vol 3518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11430919_64
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DOI: https://doi.org/10.1007/11430919_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26076-9
Online ISBN: 978-3-540-31935-1
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