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» Subsystem Based Generalizations of Rough Set Approximations
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RSCTC
2004
Springer
134views Fuzzy Logic» more  RSCTC 2004»
15 years 2 months ago
Rough Set Methods in Approximation of Hierarchical Concepts
Abstract. Many learning methods ignore domain knowledge in synthesis of concept approximation. We propose to use hierarchical schemes for learning approximations of complex concept...
Jan G. Bazan, Sinh Hoa Nguyen, Hung Son Nguyen, An...
FSS
2007
176views more  FSS 2007»
14 years 9 months ago
Set approximations in fuzzy formal concept analysis
Formal concept analysis and rough set theory are two important tools in knowledge representation and knowledge discovery in relational information systems. The purpose of this pap...
Ming-Wen Shao, Min Liu, Wen-Xiu Zhang
TSDM
2000
151views Data Mining» more  TSDM 2000»
15 years 29 days ago
Rough Sets in Spatio-temporal Data Mining
In this paper I define spatio-temporal regions as pairs consisting of a spatial and a temporal component and I define topological relations between them. Using the notion of rough ...
Thomas Bittner
RSCTC
1998
Springer
129views Fuzzy Logic» more  RSCTC 1998»
15 years 1 months ago
On Generalizing Pawlak Approximation Operators
This paper reviews and discusses generalizations of Pawlak rough set approximation operators in mathematical systems, such as topological spaces, closure systems, lattices, and pos...
Y. Y. Yao
IJAR
2006
197views more  IJAR 2006»
14 years 9 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi