Rough Entropy of Rough Fuzzy Sets Based on Covering
基于覆盖的粗糙模糊集的粗糙熵

Covering reduction is an efficient way of research on simplifying covering problem. On the basis of study on generalized rough sets covering reduction, roughness and rough entropy are introduced to discuss the uncertainty of rough fuzzy sets based on covering reduction, and their properties are established. Moreover, we give an example to show that, as an accuracy measure, rough entropy is better than roughness.