Abstract

In order to select appropriate logistics suppliers with BP neural network, a logistics supplier selection model was established based on artificial intelligence (BP neural network) and C2R-DEA (Data Envelopment Analysis). In the model, the C2R-DEA cross-evaluation method was introduced in detail, and the expected values of training samples (decision-making unit) were determined by the C2R-DEA cross-evaluation method. For illustration, an example was utilized to show the feasibility of the model in solving logistics supplier selection problem with twenty two listed logistics suppliers' data in 2006. The example results show that the model can be able to identify the evaluation rank of alternative logistics suppliers and choose appropriate logistics supplier.

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