20 search results - page 2 / 4 » Attribute Reduction in Variable Precision Rough Set Model |
102
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TSMC
2010
14 years 6 months ago
2010
The original rough-set model is primarily concerned with the approximations of sets described by a single equivalence relation on a given universe. With granular computing point of...
104
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ISCI
2008
14 years 11 months ago
2008
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
AI
1998
Springer
14 years 11 months ago
1998
Springer
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
PRL
2006
14 years 11 months ago
2006
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
122
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TRS
2008
14 years 11 months ago
2008
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...