초록 close

The support vector machine has been well developed as a powerful toolfor solving classication problems. In many real world applications, eachtraining point has a dierent eect on constructing classication rule. Linand Wang (2002) proposed fuzzy support vector machines for this kind ofclassication problems, which assign fuzzy memberships to the input dataand reformulate the support vector classication. In this paper anotherintuitive approach is proposed by using the fuzzy cut set. It will show usthe trend of classication functions as changes.