Abstract
Decision rules induced from a data set allow to particularize the relationships between condition and decision factors. Several indices can be used to characterize the most significant decision rules based on ”historical” data, but they are not able to measure the impact that these rules (or strategies derived from these rules) will produce in the future. Thus, in this paper, a new methodology is introduced to quantify the impact that a strategy derived from decision rules may have on a real life situation in the future. The utility of this approach is illustrated by an example.
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Greco, S., Matarazzo, B., Pappalardo, N., Słowiński, R. (2004). Measuring the Expected Impact of Decision Rule Application. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science(), vol 3066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25929-9_63
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DOI: https://doi.org/10.1007/978-3-540-25929-9_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22117-3
Online ISBN: 978-3-540-25929-9
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