Abstract
Logistics network is referred to as the mathematical structure of a logistics system, and logistics network optimization means scientifically to study the problems how to optimize the characteristic structure or how to optimize some descriptive measures of logistics network. In the real world, logistics networks are frequently encountered with uncertain information represented by uncertain data. In this paper, we address the methodology of modeling logistics network optimization in the presence of uncertain data. A case study of express logistics delivery under uncertain environment is provided to prove the practicality of the model.
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