Study On Excavating Rules And R-FNN Based On Rough Set Theory

In this article, we begin with the concept of the membership function in the Rough set theory and discuss the differences and connections between Rough set and Fuzzy set theory by the way of semantic. As a result, we unify the description of the membership function of RS, RFS and FRS. Base on the relation of Rough set and probability theory, we debate some results on entropy, and then get a new algorithm of excavating rules. Furthermore, let the membership function as the base, we put . forward another algorithm-LBR and after the comparison of LBR and LEM1 which advanced by Kansas University in American, we get an ameliorative algorithm named LEM3. LEM3 is the variable-precision modal of LEM1 factually and the notion of variable-precision can be founded on the measurement of dependent degree. Thus we discuss the measurement of dependent degree systemically.Base on the former discusses, we construct the modals of R-FNN and through practice; we get a good result in forecast.