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» A new extension of fuzzy sets using rough sets: R-fuzzy sets
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ICCI
1993
13 years 11 months ago
Interval-Set Algebra for Qualitative Knowledge Representation
The notion of interval sets is introduced as a new kind of sets, represented by a pair of sets, namely, the lower and upper bounds. The interval-set algebra may be regarded as a c...
Y. Y. Yao
ICIC
2007
Springer
14 years 1 months ago
Uncertainty Measures of Roughness of Knowledge and Rough Sets in Ordered Information Systems
Rough set theory has been considered as a useful tool to deal with inexact, uncertain, or vague knowledge. However, in real-world, most of information systems are based on dominanc...
Wei-Hua Xu, Hong-zhi Yang, Wen-Xiu Zhang
RSCTC
2004
Springer
134views Fuzzy Logic» more  RSCTC 2004»
14 years 22 days 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...
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
14 years 1 months ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao
ISCI
2008
181views more  ISCI 2008»
13 years 7 months ago
Attribute reduction in decision-theoretic rough set models
Rough set theory can be applied to rule induction. There are two different types of classification rules, positive and boundary rules, leading to different decisions and consequen...
Yiyu Yao, Yan Zhao