In this paper, we propose a new fuzzy model that includes the advantages of several previously published methods solving their drawbacks. For each datum, a ...

In this paper, we extend our method to pairwise classification. Namely, using the decision functions obtained by training the support vector machines for ...

PDF | In this paper, we make a proposal to build a classifier with fuzzy outputs with multiclass Sup- port Vector Machines (SVMs). This allows us to.

A multi-class support vector machine (M-SVM) is developed, its dual is derived, its dual is mapped to high dimensional feature spaces using inner product ...

In this paper, to overcome this problem, we propose fuzzy support vector machines (FSVMs). Using the decision functions obtained by training the SVM, for each ...

Inoue and Abe [3] proposed fuzzy support vector machines, in which membership functions are defined using the decision functions. In pairwise classification, ...

In this paper, we discuss fuzzy LS-SVMs that resolve unclassifiable regions for multiclass problems. We define a membership function in the direction ...

Using the decision functions obtained by training the SVM, for each class, a truncated polyhedral pyramidal membership function is defined and, for the data ...

This paper presents a novel approach, which considers the pairwise S VM classification as a decision-making problem and involves game theory methods to solve it ...

Apr 30, 2004 · Abstract. In this paper, we propose fuzzy linear programming sup- port vector machines (LP-SVMs) that resolve unclassifiable regions for.