Rough Sets Theory and Multivariate Data Analysis in Classification Problems: a Simulation Study

摘要: The classification of a set objects into predefined homogenous groups is problem with major practical interest in many fields. Over the past two decades several non-parametric approaches have been developed to address problem, originating from scientific This paper focused on rule induction approach based rough sets theory and investigation its performance as opposed traditional multivariate statistical procedures, namely linear discriminant analysis, quadratic analysis logit analysis. For this purpose an extensive Monte Carlo simulation conducted examine these methods under different data conditions.