Tuning membership functions of kernel fuzzy classifiers by maximizing margins
نویسندگان
چکیده
منابع مشابه
Tuning membership functions of kernel fuzzy classifiers by maximizing margins
We propose two methods for tuning membership functions of a kernel fuzzy classifier based on the idea of SVM (support vector machine) training. We assume that in a kernel fuzzy classifier a fuzzy rule is defined for each class in the feature space. In the first method, we tune the slopes of the membership functions at the same time so that the margin between classes is maximized under the const...
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ژورنال
عنوان ژورنال: Memetic Computing
سال: 2009
ISSN: 1865-9284,1865-9292
DOI: 10.1007/s12293-009-0014-y