Abstract
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.
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Gu, SM., Wu, WZ. (2011). Knowledge Acquisition in Inconsistent Multi-scale Decision Systems. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_84
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DOI: https://doi.org/10.1007/978-3-642-24425-4_84
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