Abstract
In order to treat the ordinality and the monotonicity between condition and decision attributes in decision tables, the dominance-based rough set approach (DRSA) has been developed. Moreover, to treat the hesitation in evaluation, the variable-consistency dominance-based rough set approach (VC-DRSA) has been proposed. However, the VC-DRSA is not always suitable to treat errors and outliers. In this paper, we propose a new approach called a variable-precision dominance-based approach (VP-DRSA) to be suitable for accommodating errors and outliers.
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Inuiguchi, M., Yoshioka, Y. (2006). Variable-Precision Dominance-Based Rough Set Approach. In: Greco, S., et al. Rough Sets and Current Trends in Computing. RSCTC 2006. Lecture Notes in Computer Science(), vol 4259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908029_23
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DOI: https://doi.org/10.1007/11908029_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47693-1
Online ISBN: 978-3-540-49842-1
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