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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
IEEEICCI
2006
IEEE
13 years 10 months 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
EMS
2008
IEEE
13 years 11 months ago
Rough Set Generating Prediction Rules for Stock Price Movement
This paper presents rough sets generating prediction rules scheme for stock price movement. The scheme was able to extract knowledge in the form of rules from daily stock movement...
Hameed Al-Qaheri, Shariffah Zamoon, Aboul Ella Has...
RSKT
2009
Springer
13 years 11 months ago
Three-Way Decision: An Interpretation of Rules in Rough Set Theory
Abstract. A new interpretation of rules in rough set theory is introduced. According to the positive, boundary, and negative regions of a set, one can make a three-way decision: ac...
Yiyu Yao
RSCTC
2000
Springer
147views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
James F. Peters, Andrzej Skowron, Liting Han, Shee...