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Erschienen in:
2005 | OriginalPaper | Buchkapitel
An Improved Rectangular Decomposition Algorithm for Imprecise and Uncertain Knowledge Discovery
verfasst von : Jiyoung Song, Younghee Im, Daihee Park
Erschienen in: Fuzzy Systems and Knowledge Discovery
Verlag: Springer Berlin Heidelberg
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In this paper, we propose a novel improved algorithm for the rectangular decomposition technique for the purpose of performing fuzzy knowledge discovery from large scaled database in a dynamic environment. To demonstrate its effectiveness, we compare the proposed one which is based on the newly derived mathematical properties with those of other methods with respect to the classification rate, the number of rules, and complexity analysis.