Fuzzy SVM Based on Triangular Fuzzy Numbers

Abstract

Support vector machine (SVM) is novel type learning machine, based on statistical learning theory, whose tasks involve classification, regression or novelty detection. Traditional SVM classifies the data with numerical features. However, in most cases of real world, there are much more data with fuzzy features. It is difficult to apply traditional SVM to… (More)

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