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ESANN
2004

Fuzzy LP-SVMs for Multiclass Problems

9 years 11 months ago
Fuzzy LP-SVMs for Multiclass Problems
Abstract. In this paper, we propose fuzzy linear programming support vector machines (LP-SVMs) that resolve unclassifiable regions for multiclass problems. Namely, in the directions orthogonal to the decision functions obtained by training the LP-SVM, we define membership functions. Then by the minimum or average operation for these membership functions we define a membership function for each class. We evaluate one-against-all and pairwise fuzzy LP-SVMs for some benchmark data sets and demonstrate the superiority of our fuzzy LP-SVMs over conventional LP-SVMs.
Shigeo Abe
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ESANN
Authors Shigeo Abe
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