A robust approach to attribute reduction based on double fuzzy consistency measure

. Meanwhile, attribute reduction model and algorithm based on the measure are developed. Finally, the detailed experimental comparisons indicate that the double fuzzy consistency measure based attribute reduction method can achieve effective and robust classification performance by grabbing fewer attributes with discernment information.