Abstract
Rated Multiple Classification Ripple Down Rules (RM) and Ripple Down Models (RDM) are two of the successful prudent RDR approaches published. To date, there has not been a published, dedicated comparison of the two. This paper presents a systematic preliminary evaluation and analysis of the two techniques. The tests and results reported in this paper are the first phase of direct evaluations of RM and RDM against each other.
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Maruatona, O., Vamplew, P., Dazeley, R. (2012). RM and RDM, a Preliminary Evaluation of Two Prudent RDR Techniques. In: Richards, D., Kang, B.H. (eds) Knowledge Management and Acquisition for Intelligent Systems. PKAW 2012. Lecture Notes in Computer Science(), vol 7457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32541-0_16
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DOI: https://doi.org/10.1007/978-3-642-32541-0_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32540-3
Online ISBN: 978-3-642-32541-0
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