In this paper, we consider a meta-heuristic of scatter search to solve the attribute reduction problem in rough set theory. The proposed method, called scatter�...
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve�...
In this paper, we consider a meta-heuristic of scatter search to solve the attribute reduction problem in rough set theory. The proposed method, called scatter�...
In this paper, we consider a meta-heuristic of scatter search to solve the attribute reduction problem in rough set theory. The proposed method, called scatter�...
In this paper, we consider a meta-heuristic of scatter search to solve the attribute reduction problem in rough set theory. The proposed method, called scatter�...
Feb 2, 2014 � The proposed method, called scatter search rough set attribute reduction (SSAR), is illustrated by 13 well known datasets from UCI machine�...
This paper presents a novel rough set approach to feature selection based on scatter search metaheuristic. The proposed method, called scatter search rough set�...
This work presented the innovative application of three metaheuristics for attribute reduction based on the Rough Set theory (RST).
Missing: Scatter | Show results with:Scatter
3.1 Scatter Search for Attribute Reduction. A feature selection technique, called Scatter Search Rough. Set Attribute Reduction (SSAR), has been presented in [�...
We use a rough sets approach for feature selection based on a scatter search meta-heuristic scheme. The proposed approach sifts a compact subset of�...