20 search results - page 2 / 4 » Attribute Reduction in Variable Precision Rough Set Model |
TSMC
2010
13 years 2 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...
ISCI
2008
13 years 7 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
13 years 7 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
13 years 7 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...
TRS
2008
13 years 7 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...