Abstract: It is very important to select Third-Party Logistics（3PL，TPL） service provider in the outsourcing of logistics.So this article presents a comprehensive methodology for the selection of a logistic service provider.The proposed methodology consists of two parts：（1）Reduction（optimizing） the selection index system.（2）Establishment BP intelligent neural network.Thereafter，the application of the methodology for the final selection of a provider has been demonstrated through an illustrative example.The results of this example show the methodology is practically to select the 3PL service provider.In addition，this approach also enables the decision-makers to better understand the redundant relationships of the relevant index attributes in the decision-making，which may subsequently improve the reliability of the decision.

Key words: logistics outsourcing, Third-Party Logistics（3PL, TPL）, rough sets, BP intelligent neural network

摘要： 在物流外包大发展的趋势下，选择合适的第三方物流服务提供商对成功实施物流外包至关重要。因此，提出一种选择物流服务提供商的综合方法，该方法由两部分组成：（1）物流服务提供商选择指标体系的约简、优化；（2）构造对3PL提供商进行选择的BP智能神经网络。然后，将该方法应用到一个算例进行研究。通过研究验证了该方法的实用性。此外，该方法还可以使决策者更好的了解有关指标之间存在的冗余关系，从而为改善决策的可靠性提供参考。

关键词: 物流外包, 第三方物流, 粗糙集, BP智能神经网络