Abstract
A review of Pawlak rough set models and probabilistic rough set models is presented, and a multi-view decision method based on decision-theoretic rough set model is proposed, in which optimistic decision, pessimistic decision, and indifferent decision are provided according to the cost of misclassification, which are well interpreted based on both practical examples and theoretic analysis.
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Zhou, X., Li, H. (2009). A Multi-View Decision Model Based on Decision-Theoretic Rough Set. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds) Rough Sets and Knowledge Technology. RSKT 2009. Lecture Notes in Computer Science(), vol 5589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02962-2_82
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DOI: https://doi.org/10.1007/978-3-642-02962-2_82
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