A new fuzzy comprehensive evaluation model based on the support vector machine |
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Authors: | Si-dong Xian |
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Institution: | 1.College of Mathematics and Physics,Chongqing University of Posts and Telecommunications,Chongqing,P.R.China |
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Abstract: | In this paper, focused on a proper weight distribution vector of a fuzzy comprehensive evaluation method, a new fuzzy comprehensive
evaluation model based on the supper vector machine (SVM) is proposed for overcoming the subjective limitation in traditional
fuzzy comprehensive evaluation model. Furthermore, a multilevel fuzzy comprehensive evaluation model based on SVM of network
learning has also been designed, and the improved algorithm is used to make an instant computation. This method gives good
performance on determination of the weight distribution vector and improves the evaluation accuracy and generalization with
an example. |
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Keywords: | |
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