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A Note on Fuzzy Support Vector Classification
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 Title & Authors
A Note on Fuzzy Support Vector Classification
Lee, Sung-Ho; Hong, Dug-Hun;
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 Abstract
The support vector machine has been well developed as a powerful tool for solving classification problems. In many real world applications, each training point has a different effect on constructing classification rule. Lin and Wang (2002) proposed fuzzy support vector machines for this kind of classification problems, which assign fuzzy memberships to the input data and reformulate the support vector classification. In this paper another intuitive approach is proposed by using the fuzzy set. It will show us the trend of classification functions as changes.
 Keywords
SVM;SVC;fuzzy membership; set;
 Language
English
 Cited by
 References
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