A novel fuzzy support vector machine based on the confidence

In this paper, we have focused on a proper fuzzy membership function of the fuzzy support vector machine (FSVM). And we propose a novel fuzzy membership function for fuzzy Supper vector Machines (NFSVM) based on the confidence in the theory of uncertainty. The fuzzy membership function is calculated...

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Bibliographic Details
Published in2012 5th International Conference on Biomedical Engineering and Informatics pp. 1542 - 1546
Main Authors Sidong Xian, Jie Xia, Dong Qiu, Yonghong Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Confidence
Fuzzy membership function
Fuzzy Supper Vector Machine
Kernel function
Supper Vector Machine
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Summary:In this paper, we have focused on a proper fuzzy membership function of the fuzzy support vector machine (FSVM). And we propose a novel fuzzy membership function for fuzzy Supper vector Machines (NFSVM) based on the confidence in the theory of uncertainty. The fuzzy membership function is calculated in the feature space and is represented by kernel function. In addition, a numerical example is used to demonstrate the proposed method and compare with other methods. On the basis of the results, we can conclude that the NFSVM can improve the classification accuracy and reduce the effects of outliers.
ISBN:9781467311830
1467311839
DOI:10.1109/BMEI.2012.6513087