Summary
Mechanisms for interpretation and manipulation of data required in decision support systems quite often deal with cases when knowledge is uncertain or incomplete. Dominance-based Rough Set Approach is an example of such methodology, dedicated to analysis of data with ordinal properties, with dominance relation substituting that of indiscernibility of objects as defined by Classical Rough Set Approach. The paper presents application of DRSA procedures to the problem of stylometric analysis of literary texts, which by the notion of its primary concept of authorial invariants enables to identify authors of unattributed or disputed texts.
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Stanczyk, U. (2009). Dominance-Based Rough Set Approach Employed in Search of Authorial Invariants. In: Kurzynski, M., Wozniak, M. (eds) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93905-4_35
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DOI: https://doi.org/10.1007/978-3-540-93905-4_35
Publisher Name: Springer, Berlin, Heidelberg
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