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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Knowledge Acquisition in Inconsistent Multi-scale Decision Systems
verfasst von : Shen-Ming Gu, Wei-Zhi Wu
Erschienen in: Rough Sets and Knowledge Technology
Verlag: Springer Berlin Heidelberg
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The key to granular computing is to make use of granules in problem solving. However, there are different granules at different levels of scale in data sets having hierarchical scale structures. Therefore, the concept of multi-scale decision systems is introduced in this paper, and a formal approach to knowledge acquisition measured at different levels of granulations is also proposed, and some algorithms for knowledge acquisition in inconsistent multi-scale decision systems are proposed with illustrative examples.