A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI

The proposed method is able to derive suitable non-linear features and the related brain regions for effective computer-aided diagnosis. The fuzzy and rough set based approaches help in handling uncertainty and ambiguity in real data.