Abstract
This paper details a set of enhancements to the Multiple Classification Ripple Down Rules methodology which enable the expert to create rules based on the existing presence of a conclusion. A detailed description of the method and associated challenges are included as well as the results of a preliminary study which was undertaken with a dataset of pizza topping preferences. These results demonstrate that the method loses none of the appeal or capabilities of MCRDR and show that the enhancements can see practical and useful application even in this simple domain.
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Bindoff, I., Ling, T., Kang, B.H. (2009). Multiple Classification Ripple Round Rules: A Preliminary Study. In: Richards, D., Kang, BH. (eds) Knowledge Acquisition: Approaches, Algorithms and Applications. PKAW 2008. Lecture Notes in Computer Science(), vol 5465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01715-5_7
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DOI: https://doi.org/10.1007/978-3-642-01715-5_7
Publisher Name: Springer, Berlin, Heidelberg
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