Support vector machine for classification based on fuzzy training data

Support vector machines (SVM) have been very successful in pattern recognition and function estimation problems, but in the support vector machines for classification, the training example is non-fuzzy input and output is y = ±1; In this paper, we introduce the support vector machine which the training examples are fuzzy input, and give some solving procedure of the Support vector machine with fuzzy training data.