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» Rough Sets for Uncertainty Reasoning
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RSCTC
2000
Springer
143views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
Rough Sets for Uncertainty Reasoning
Abstract. Rough sets have traditionally been applied to decision (classification) problems. We suggest that rough sets are even better suited for reasoning. It has already been sho...
S. K. Michael Wong, Cory J. Butz
ASIAMS
2007
IEEE
13 years 11 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
13 years 10 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
ICIC
2007
Springer
13 years 11 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
JCIT
2007
126views more  JCIT 2007»
13 years 4 months ago
Rough Petri Net Model (RPNM) For knowledge Representation, Rules Generation and Reasoning
Rough Petri nets model (RPNM) for knowledge representation, rule generation, and reasoning is presented in this paper. An algorithm for verifying the consistency of a rough knowle...
Hala S. Own