关键词: 决策模板法, 模糊聚类, 业务感知, 分类器

Abstract: Aiming at the limitation of recognition accuracy that the decision template method used on service awareness, it puts forward the weighted decision template method. This method firstly uses supervised fuzzy clustering neural networks classifier as the basic classifier, and then through the confusion matrix measures classifier samples for different categories of confidence, after two stage performance trade-offs, gives higher credibility of the algorithm. In the stage of training, it constructs an additional weighted decision template according to the error classification of the samples, if in the testing phase, there are the shortest distance from samples to template, it thinks the sample in a high probability of error classification, so that the algorithm has high recognition accuracy. Experimental results show that, compared with that decision template method, the weighted decision template method has higher accuracy on service awareness.

Key words: decision template method, fuzzy clustering, service awareness, classifier