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Support Vector Machine for Classification Based on Fuzzy Training Data

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4 Author(s)
Ai-bing Ji ; College of Medicine, Hebei University, Baoding, 071000, Hebei, China. E-MAIL: jabpjh@163.com ; Jia-hong Pang ; Shu-huan Li ; Jian-ping Sun

Support vector machines (SVMs) have been very successful in pattern recognition and function estimation problems, but in the support vector machines for classification, the training examples are non-fuzzy input and output is y=plusmn1;. In this paper, we introduce the support vector machine in which the training examples are fuzzy input, and give some solving procedure of the support vector machine with fuzzy training data

Published in:

2006 International Conference on Machine Learning and Cybernetics

Date of Conference:

13-16 Aug. 2006