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19

RSKT
2007
Springer

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Decision-Theoretic Rough Set Models

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Decision-Theoretic Rough Set Models

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Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for deﬁning probabilistic lower and upper approximations are calculated based on more familiar notions of costs (risks) through the well-known Bayesian decision procedure. We review and revisit the decision-theoretic models and present new results. It is shown that we need to consider additional issues in probabilistic rough set models. Keywords. Bayesian decision theory, decision-theoretic rough sets, probabilistic rough sets, variable precision rough sets

Yiyu Yao

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Added	09 Jun 2010
Updated	09 Jun 2010
Type	Conference
Year	2007
Where	RSKT
Authors	Yiyu Yao

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