Abstract
The paper is devoted to the study of algorithms for optimization of inhibitory rules relative to the length and coverage. In contrast with usual rules that have on the right-hand side a relation “attribute = value”, inhibitory rules have a relation “attribute ≠ value” on the right-hand side. The considered algorithms are based on extensions of dynamic programming.
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Alsolami, F., Chikalov, I., Moshkov, M., Zielosko, B. (2012). Optimization of Inhibitory Decision Rules Relative to Length and Coverage. In: Li, T., et al. Rough Sets and Knowledge Technology. RSKT 2012. Lecture Notes in Computer Science(), vol 7414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31900-6_19
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DOI: https://doi.org/10.1007/978-3-642-31900-6_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31899-3
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