Notice of RetractionApplication of BP neural network and DEA in the logistics supplier selection

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

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.