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» Rough Sets and Approximation Schemes
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RSFDGRC
2005
Springer
126views Data Mining» more  RSFDGRC 2005»
13 years 11 months ago
Rough Sets and Higher Order Vagueness
Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in se...
Andrzej Skowron, Roman W. Swiniarski
RSFDGRC
2005
Springer
133views Data Mining» more  RSFDGRC 2005»
13 years 11 months ago
Rough Set Approximation Based on Dynamic Granulation
In this paper, the concept of a granulation order is proposed in an information system. The positive approximation of a set under a granulation order is defined. Some properties o...
Jiye Liang, Yuhua Qian, Chengyuan Chu, Deyu Li, Ju...
IJAR
2008
82views more  IJAR 2008»
13 years 5 months ago
Probabilistic rough set approximations
This paper reviews probabilistic approaches to rough sets in granulation, approximation, and rule induction. The Shannon entropy function is used to quantitatively characterize pa...
Yiyu Yao
TSMC
2010
13 years 14 days ago
Incomplete Multigranulation Rough Set
The original rough-set model is primarily concerned with the approximations of sets described by a single equivalence relation on a given universe. With granular computing point of...
Yuhua Qian, Jiye Liang, Chuangyin Dang
FSS
2007
176views more  FSS 2007»
13 years 5 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