501 search results - page 7 / 101 » Rough Sets and Approximation Schemes |
FUZZIEEE
2007
IEEE
14 years 4 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...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
ASIAMS
2007
IEEE
14 years 4 months ago
2007
IEEE
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
VIS
2004
IEEE
14 years 11 months ago
2004
IEEE
We present a new level set method for reconstructing interfaces from point aggregations. Although level-set-based methods are advantageous because they can handle complicated topo...
ISCI
2008
13 years 9 months ago
2008
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...