Titlebook: Rough Set and Knowledge Technology; 6th International Co JingTao Yao,Sheela Ramanna,Zbigniew Suraj Conference proceedings 2011 Springer-Ver

Grandstand

Uncertainty and Feature Selection in Rough Set TheoryIn rough set theory, the uncertainty of granulation and efficient feature selection algorithms have attracted much attention in recent years. We focus on the review of several common uncertainty measures and the relationships among them. An efficient accelerator is developed to accelerate a heuristic process of feature selection.

buoyant

A Variable Precision Covering Generalized Rough Set ModelThe covering generalized rough sets are an improvement of traditional rough set model to deal with more complex practical problems which the traditional one cannot handle. A variable precision extension of a covering generalized rough set model is proposed in this paper. Some properties are investigated.