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Support Vector Machine Based on Type-2 Fuzzy Training Samples
Support Vector Machine Based on Type-2 Fuzzy Training Samples
Industrial Engineering and Management Systems. 2012. Mar, 11(1): 26-29
  • Published : March 01, 2012
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Ha, Ming-Hu
Huang, Jia-Ying
Yang, Yang
Wang, Chao

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.
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