33 search results - page 1 / 7 » Uncertainty Measures of Rough Set Prediction |
AI
1998
Springer
13 years 10 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
14 years 5 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...
RSFDGRC
2011
Springer
13 years 1 months 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
13 years 11 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
14 years 5 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...