Sep 14, 2013 · The results of numerical experiments show the effectiveness of the type-2 fuzzy support vector machine established on expected fuzzy possibility ...
The results of numerical experiments show the effectiveness of the type-2 fuzzy support vector machine established on expected fuzzy possibility space.
Abstract: Classical support vector machine is based on the real valued random samples and established on the probability space.
... In order to deal with the classification of fuzzy inputs, Ji et al. (2010) constructed a new support vector machine based on triangular fuzzy numbers and ...
ABSTRACT. In order to deal with the classification problems of type-2 fuzzy training samples on generalized credibility space. Firstly the type-2 fuzzy ...
Support Vector Machine Based on Type-2 Fuzzy Training Samples
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Support vector machine built on statistical learning theory is a kind of effective machine learning method, has advantaged superiority in dealing with small ...
The results of numerical experiments show the effectiveness of the type-2 fuzzy support vector machine established on expected fuzzy possibility space.
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This paper proposes an ensemble model using the knowledge of fuzzy logic system (FLS) to combine multiple SVM classifiers. The model takes the classification ...
Missing: samples. | Show results with:samples.
A new fuzzy support vector machine algorithm based on SVDD is presented in this paper. In our algorithm, the noises and outliers are identified by a ...
Support Vector Machine Based on Type-2 Fuzzy Training Samples. Article. Nov ... a new support vector machine based on random set samples is constructed.