Support vector machine for classification based on fuzzy training data
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摘要
Support vector machines (SVM) have been very successful in pattern recognition and function estimation problems, but in the support vector machines for classification, the training example is non-fuzzy input and output is y = ±1; In this paper, we introduce the support vector machine which the training examples are fuzzy input, and give some solving procedure of the Support vector machine with fuzzy training data.
论文关键词:Support vector machine,Fuzzy training examples,Possibility measure,Fuzzy linear separable example,Fuzzy chance constraint programming
论文评审过程:Available online 17 October 2009.
论文官网地址:https://doi.org/10.1016/j.eswa.2009.10.038