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Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Abstract. This paper presents a rough set model for constraint-based multidimensional association rule mining. It first overviews the progress in constraintbased multi-dimensional ...
Abstract: We report on a model for the interaction of chimeric melanocortin Gprotein coupled receptors with peptide ligands using the rough set approach. Rough sets generate If-The...
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on universe. In the view of granular computing, classical ro...
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on the universe. In the view of granular computing, classica...