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GRC
2008
IEEE
13 years 11 months ago
Granulation Operators on a Knowledge Base
Knowledge in knowledge bases have two categories: complete and incomplete. In this paper, through uniformly expressing these two kinds of knowledge, we first address four operator...
Yuhua Qian, Jiye Liang, Wei Wei
ISMIS
2003
Springer
14 years 4 months ago
Granular Computing Based on Rough Sets, Quotient Space Theory, and Belief Functions
Abstract. A model of granular computing (GrC) is proposed by reformulating, re-interpreting, and combining results from rough sets, quotient space theory, and belief functions. Two...
Y. Y. Yao, Churn-Jung Liau, Ning Zhong
ISCI
2008
67views more  ISCI 2008»
13 years 11 months ago
A multiview approach for intelligent data analysis based on data operators
Multiview intelligent data analysis explores data from different perspectives to reveal various types of structures and knowledge embedded in the data. Each view may capture a spe...
Yaohua Chen, Yiyu Yao
IJAR
2010
70views more  IJAR 2010»
13 years 9 months ago
Granular computing applied to ontologies
Granular Computing is an emerging conceptual and computing paradigm of information processing. A central notion is an information-processing pyramid with different levels of clari...
Silvia Calegari, Davide Ciucci
COMPSYSTECH
2007
14 years 3 months ago
A refinement model with information granulation focused on difficult to distinguish cases
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
Plamena Andreeva, Plamen Andreev, Maya Dimitrova, ...