Semi-monolayer covering rough set on set-valued information systems and its efficient computation

For set-valued information systems, there are many original dot-based approximation models based on tolerance relations and other developed relations. Because of the lack efficient algorithms, they not to accommodate bigger table. Therefore, it is a real challenge how efficiently calculate high-quality set in systems. To address challenge, we propose reliable operators semi-monolayer covering for Benefiting from considerable research about rough models, proposed used piecewise design effectively reduce negative effects records provided sets Furthermore, more easily granulated calculated than before. Based equivalent granule-based forms, corresponding granular algorithms designed improved sets. The experiments some UCI data show high quality computational