J4 ›› 2011, Vol. 46 ›› Issue (11): 17-21.
• Articles •
YU Cheng-yi, LI Jin-jin*
From the view of attribute sets, the attribute reduction in the variable precision rough set model is studied. A new β lower approximation binary relation is defined. Using relations the equivalence relation is constructed on attribute sets and its power sets, and a dependence space is also produced. By applying the binary relation and dependence space, judgement theorems for judging β lower approximation consistent sets are obtained, from which we provide a new attribute reduction algorithm. It can preserve β lower approximation in every decision class. Finally, a practical example illustrates the validity of the method.
variable precision rough sets; attribute reduction; β lower approximation binary relation; dependence space
YU Cheng-yi, LI Jin-jin*. β lower approximation attribute reduction in variable precision rough sets[J].J4, 2011, 46(11): 17-21.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks