An application of feature selection for the fuzzy rule based classifier design with the order based semantics of linguistic terms for high dimensional datasets

The fuzzy rule based classification system (FRBCS) design methods, whose fuzzy rules are in the form of if-then sentences, have been under intensive study during last years. The fuzzy rule based classification system (FRBThis paper presents an approach to tackle the high-dimensional dataset problem for the hedge algebras based classification method proposed in by utilizing the feature selection algorithm proposed inS) design methods, whose fuzzy rules are in the form of if-then sentences, have been under intensive study during last years.