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» Rough Sets for Uncertainty Reasoning
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RSEISP
2007
Springer
14 years 5 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
ESWA
2006
78views more  ESWA 2006»
13 years 11 months ago
Interval multidimensional scaling for group decision using rough set concept
Multidimensional scaling (MDS) is a statistical tool for constructing a low-dimension configuration to represent the relationships among objects. In order to extend the convention...
Jih-Jeng Huang, Chorng-Shyong Ong, Gwo-Hshiung Tze...
RSCTC
2000
Springer
147views Fuzzy Logic» more  RSCTC 2000»
14 years 2 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...
ECSQARU
2009
Springer
14 years 5 months ago
Supporting Fuzzy Rough Sets in Fuzzy Description Logics
Abstract. Classical Description Logics (DLs) are not suitable to represent vague pieces of information. The attempts to achieve a solution have lead to the birth of fuzzy DLs and r...
Fernando Bobillo, Umberto Straccia
EMS
2008
IEEE
14 years 5 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...