Decision-Theoretic Rough Set Models

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Decision-Theoretic Rough Set Models
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
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where RSKT
Authors Yiyu Yao
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