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Support Vector Machine Based on Type-2 Fuzzy Training Samples
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 Title & Authors
Support Vector Machine Based on Type-2 Fuzzy Training Samples
Ha, Ming-Hu; Huang, Jia-Ying; Yang, Yang; Wang, Chao;
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 Abstract
In order to deal with the classification problems of type-2 fuzzy training samples on generalized credibility space. Firstly the type-2 fuzzy training samples are reduced to ordinary fuzzy samples by the mean reduction method. Secondly the definition of strong fuzzy linear separable data for type-2 fuzzy samples on generalized credibility space is introduced. Further, by utilizing fuzzy chance-constrained programming and classic support vector machine, a support vector machine based on type-2 fuzzy training samples and established on generalized credibility space is given. An example shows the efficiency of the support vector machine.
 Keywords
Type-2 Fuzzy Training Samples;Mean Reduction Method;Fuzzy Chance-Constrained Programming;Support Vector Machine;
 Language
English
 Cited by
1.
A new support vector machine based on type-2 fuzzy samples, Soft Computing, 2013, 17, 11, 2065  crossref(new windwow)
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