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» Rough Sets and Approximation Schemes
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RSCTC
2000
Springer
146views Fuzzy Logic» more  RSCTC 2000»
14 years 1 months ago
Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts
Abstract. We provide the unified methodology for searching for approximate decision reducts based on rough membership distributions. Presented study generalizes well known relation...
Maciej Borkowski, Dominik Slezak
EMS
2008
IEEE
14 years 4 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
2010
Springer
13 years 8 months ago
Ordered Weighted Average Based Fuzzy Rough Sets
Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...
Chris Cornelis, Nele Verbiest, Richard Jensen
RSKT
2007
Springer
14 years 3 months ago
Optimized Generalized Decision in Dominance-Based Rough Set Approach
Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect to the dominance princ...
Krzysztof Dembczynski, Salvatore Greco, Wojciech K...
PREMI
2005
Springer
14 years 3 months ago
Approximation Spaces in Machine Learning and Pattern Recognition
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
Andrzej Skowron, Jaroslaw Stepaniuk, Roman W. Swin...