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» Rough Sets and Approximation Schemes
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RSEISP
2007
Springer
13 years 11 months ago
Rough Sets and Approximation Schemes
Abstract. Approximate reasoning is used in a variety of reasoning tasks in Logicbased Artificial Intelligence. In this abstract we compare a number of such reasoning schemes and s...
Victor W. Marek, Miroslaw Truszczynski
RSCTC
2004
Springer
134views Fuzzy Logic» more  RSCTC 2004»
13 years 10 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...
FUIN
2006
160views more  FUIN 2006»
13 years 4 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
RSCTC
2004
Springer
157views Fuzzy Logic» more  RSCTC 2004»
13 years 10 months ago
Rough Approximations under Level Fuzzy Sets
The combination of fuzzy set and rough set theories lead to various models. Functional and set approaches are two categories based on different fuzzy representations. In this pape...
W.-N. Liu, Jingtao Yao, Yiyu Yao
RSKT
2007
Springer
13 years 11 months ago
Decision-Theoretic Rough Set Models
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
Yiyu Yao