33 search results - page 1 / 7 » Uncertainty Measures of Rough Set Prediction |
82
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AI
1998
Springer
14 years 9 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. ...
ICIC
2007
Springer
15 years 3 months ago
2007
Springer
Rough set theory has been considered as a useful tool to deal with inexact, uncertain, or vague knowledge. However, in real-world, most of information systems are based on dominanc...
146
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RSFDGRC
2011
Springer
14 years 12 days ago
2011
Springer
Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In interval comp...
FSS
2008
14 years 9 months ago
2008
Classical consistency degree has some limitations for measuring the consistency of a decision table, in which the lower approximation of a target decision is only taken into consi...
FUZZIEEE
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...