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Uncertain minimum cost flow problem

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Abstract

The aim of this paper is to give an uncertainty distribution of the least cost of shipment of a commodity through a network with uncertain capacities. Uncertainty theory is used to deal with uncertain capacities, and an \(\alpha \)-minimum cost flow problem model is proposed. After defining the \(\alpha \)-minimum cost flow, the properties of the model are analyzed, and then an algorithm for uncertain minimum cost flow problem is developed. The algorithm can be considered as a general solution to the uncertain minimum cost flow problem. To demonstrate the efficiency of the proposed algorithm, a numerical example is illustrated.

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Acknowledgments

This work was supported by National Natural Science Foundation of China Grant No.61273044, National Soft Science Research Program No.2013GXS2B014 and Education Research Project No.YPGC2011-W03.

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Correspondence to Sibo Ding.

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Communicated by F. Chiclana.

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Ding, S. Uncertain minimum cost flow problem. Soft Comput 18, 2201–2207 (2014). https://doi.org/10.1007/s00500-013-1194-4

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