Rough Set Feature Selection Using Bat Algorithm
نویسندگان
چکیده
Classification technique can solve several problems in different fields like medicine, industry, business, science. Noise random error or variance in a measured variable.Reduction is one of the most popular techniques to remove noisy data. Two reduction technique are used for it (FS) Feature Selection and (FE) Feature Extraction. Feature Selection (FS) is a solution that involves finding a subset of prominent features to improve predictive accuracy and to remove the redundant features. Rough Set Theory (RST) is a mathematical tool which deals with the uncertainty and vagueness of the decision systems. Index Terms Classification, Particle Swarm Optimization (PSO) Rough Sets, Feature Selection (FS), Bat Algorithm (BA) ________________________________________________________________________________________________________
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