The bounds on the rate of convergence of learning process about fuzzy examples

Statistical learning theory, a recently developed new theory for pattern recognition, is a small sample statistics proposed by Vapnik et al, which deals mainly with the statistical principles when the samples are limited. The bounds on the rate of convergence play an important role in the statistical learning theory. We discuss the bounds on the risk for loss function about fuzzy examples and then estimate the rate of convergence.