Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis

Jinming Xing, Can Gao, Jie Zhou

Abstract: Highlights•A data editing technique is proposed to remove potential noise in the data set.•High-order neighborhood information is employed to optimize sample weights.•A robust weighted fuzzy rough set model is presented to deal with noisy data.•A multi-view-tri-training based on the weighted fuzzy rough sets is developed for partially labeled data.