Abstract: In this paper, a novel fuzzy classifier for multi-classlfication problems, based on Support Vector Data Description （SVDD） and improved PCM, is proposed. The proposed method is the robust version of SVDD by assigning a weight to each data point, which rep

Key words: Support vector data description, Possibilistic e-means clustering, Minimum enclosing sphere, Classifier, SVM