The Research on the Algorithm of Approximately Linearly Dividable Support Vector Classification Machine Based on Fuzzy Theory

Data mining is a new filed in data processing research. Support vector machine (SVM) is a useful method adopted in data mining. However, when the training set of the SVM contains information of uncertainty, the SVM can do nothing about it. In order to solve the problem presented above, this article discusses an algorithm of approximately linearly dividable support vector classification machine based on fuzzy theory. With the restriction of the confidence lambda(0