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» Subsystem Based Generalizations of Rough Set Approximations
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KDD
1995
ACM
104views Data Mining» more  KDD 1995»
15 years 28 days 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...
GRC
2007
IEEE
15 years 3 months ago
MGRS in Incomplete Information Systems
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on the universe. In the view of granular computing, classica...
Yuhua Qian, Jiye Liang, Chuangyin Dang
RSEISP
2007
Springer
15 years 3 months ago
Checking Brain Expertise Using Rough Set Theory
Most information about the external world comes from our visual brain. However, it is not clear how this information is processed. We will analyze brain responses using machine lea...
Andrzej W. Przybyszewski
ISCI
2011
14 years 4 months ago
Sequential covering rule induction algorithm for variable consistency rough set approaches
We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used f...
Jerzy Blaszczynski, Roman Slowinski, Marcin Szelag
AGI
2011
14 years 1 months ago
Three Hypotheses about the Geometry of Mind
What set of concepts and formalizations might one use to make a practically useful, theoretically rigorous theory of generally intelligent systems? We present a novel perspective m...
Ben Goertzel, Matthew Iklé