One Direction S-Rough Decision Law Inference and Law Mining

S-rough sets (Singular rough sets) improves Z. Pawlak rough sets, and S-rough sets has dynamic characteristics. By employing one direction S-rough sets, a generation method of one direction S-rough decision law is presented. The concepts of upper-decision law, lower-decision law, one direction S-rough decision law, one direction S-rough decision law kernel, one direction S-rough decision law band and one direction S-rough decision law hull are proposed. The theorems about decision law inference and decision law mining are presented. The criterion of rough decision law mining is given.