Results 271 to 280 of about 1,508,110 (292)
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2017
The departing point of this study is a data table with certainty values associated to attribute values. These values are deeply rooted in possibility theory, they can be obtained with standard procedures and they are efficiently manageable in databases. Our aim is to study rough set approximations and reducts in this framework.
CIUCCI, DAVIDE ELIO, Forcati, I.
openaire +1 more source
The departing point of this study is a data table with certainty values associated to attribute values. These values are deeply rooted in possibility theory, they can be obtained with standard procedures and they are efficiently manageable in databases. Our aim is to study rough set approximations and reducts in this framework.
CIUCCI, DAVIDE ELIO, Forcati, I.
openaire +1 more source
2005
The article introduces the basic ideas and investigates the probabilistic version of rough set theory. It relies on both classification knowledge and probabilistic knowledge in analysis of rules and attributes. One-way and two-way inter-set dependency measures are proposed and adopted to probabilistic rule evaluation. A probabilistic dependency measure
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The article introduces the basic ideas and investigates the probabilistic version of rough set theory. It relies on both classification knowledge and probabilistic knowledge in analysis of rules and attributes. One-way and two-way inter-set dependency measures are proposed and adopted to probabilistic rule evaluation. A probabilistic dependency measure
openaire +2 more sources
A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory
2007In this plenary address, we would like to discuss rough inclusions defined in Rough Mereology, a joint idea with A. Skowron, as a basis for common models for rough as well as fuzzy set theories. We would like to justify the point of view that tolerance (or, similarity) is the leading motif common to both theories and in this area paths between the two ...
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Rough Soft Sets in Fuzzy Setting
2013Fuzzy set theory, soft set theory and rough set theory are mathematical tools for dealing with uncertainties and are closely related. In the paper, we define the notion of a soft set in L-set theory, introduce several operators for L-soft set theory, and investigate the rough operators on the set of all L-soft sets induced by the rough operators on L X
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Attributes Reduction Using Fuzzy Rough Sets
IEEE Transactions on Fuzzy Systems, 2008Xizhao Wang, Daniel S Yeung, Degang Chen
exaly
Rough Shadowed Set: Hybridization of Rough Set and Shadowed Set
Man Gao +4 moreopenaire +1 more source