Multi-label feature selection attracts considerable attention from multi-label learning. Information theory-based methods intend to select the most informative features and reduce uncertain amount of information labels. Previous regard labels as constant. In fact, classification label set is captured by features, remaining uncertainty each changing dynamically. this paper, we categorize into tw...