Generalized Variable Precision Rough Set Model Based on the Majority of Inclusion Relation
HUANG Weihua
FENG Yunzai
LU Yazhe
Abstract：To make up for the drawbacks of general relations of rough set model,we introduce error pa-rameter α( 0≤α<0.5) and define the generalized variable precision rough set model based on the majori-ty of inclusion relation.The properties of αupper and lower approximation operators are discussed in the model.Meanwhile,if |RP(x)|· α=k,it is the degraded rough set model.Finally,examples are given to show that this model can be applied to data mining.
Keywords：rough setopproximate operatormajority of inclusion relationgeneralized variable preci-sion rough set model
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 260-263 )