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» Mining Approximative Descriptions of Sets Using Rough Sets
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IJAR
2008
82views more  IJAR 2008»
13 years 7 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 2 months 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
ISMIS
2005
Springer
14 years 1 months ago
Subsystem Based Generalizations of Rough Set Approximations
Abstract. Subsystem based generalizations of rough set approximations are investigated. Instead of using an equivalence relation, an arbitrary binary relation is used to construct ...
Yiyu Yao, Yaohua Chen
RSCTC
2004
Springer
134views Fuzzy Logic» more  RSCTC 2004»
14 years 1 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...
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
13 years 11 months ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...