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» Rough Sets in Perception-Based Computing
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IEEEICCI
2006
IEEE
14 years 9 days ago
Rough Set Method Based on Multi-Granulations
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on universe. In the view of granular computing, classical ro...
Y. H. Qian, J. Y. Liang
ISMIS
2003
Springer
13 years 11 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
RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
13 years 11 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
TRS
2008
13 years 6 months ago
The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory
A popular view is that the brain works in a similar way to a digital computer or a Universal Turing Machine by processing symbols. Psychophysical experiments and our amazing capabi...
Andrzej W. Przybyszewski
GRC
2008
IEEE
13 years 7 months ago
Fuzzy Preference Relation Rough Sets
Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing e...
Qinghua Hu, Daren Yu, Congxin Wu