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The estimation of membership functions from data is an important step in many applications of fuzzy theory. In this paper, a new scheme is proposed to generate fuzzy membership functions with unsupervised learning using self-organizing feature map. Comparing with some previous literature, in which the self-organizing feature map applies unsupervised(More)
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