Supplier selection based on hierarchical potential support vector machine
Expert Systems with Applications: An International Journal
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It is very important to choose swift, powerful and compatible suppliers in supply chain management (SCM). According to the credit grade assessment for suppliers in practice and the related theories, a set of index system which assesses a supplier's credit grade is established. Basing on the index system, a multi-layer support vector machines (SVM) classifier is established to assess and classify the suppliers' credit grade in SC. In order to verify the effectiveness of the method, a real case is given and BP neural network is also used assess the same data. The experimental results show that multi-layer SVM classifier is effective in credit level assessment and achieves better performance than BP neural network.