A new fuzzy comprehensive evaluation model based on the support vector machine

Si-dong Xian ()
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Si-dong Xian: Chongqing University of Posts and Telecommunications

Fuzzy Information and Engineering, 2010, vol. 2, issue 1, 75-86

Abstract: 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.

Keywords: Fuzzy comprehensive evaluation; Supper vector machine; Network learning (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s12543-010-0038-5

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