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Function S-Rough Sets Method in Feature Selection

Authors :
Kaiquan Shi
Haiqing Hu
Pitao Wang
Source :
FSKD (5)
Publication Year :
2008
Publisher :
IEEE, 2008.

Abstract

Function S-rough sets is defined by function equivalence class, function is a kind of feature. By using of function S-rough sets, this paper gives a new feature selection method, gives concepts of lower approximation features and upper approximation features, furthermore, it presents the structure of F-feature pair, gives its characteristic discussion. F-feature selection method given in this paper has gotten applied in image processing, object recognition and etc, it is becoming a new research direction in recognition theory.

Details

Database :
OpenAIRE
Journal :
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery
Accession number :
edsair.doi...........f00408e9e176f5c27742e52bb56a4da1
Full Text :
https://doi.org/10.1109/fskd.2008.204