Abstract

Evidential reasoning-based airline network design for long-haul transportation in express delivery

Highlights

  • IntroductionThe express delivery industry has grown rapidly. many express companies have emerged, such companies are still being formed at a rate that amounts to about a 40% increase in such companies every year [1]

  • In recent years, the express delivery industry has grown rapidly

  • The remainder of this paper is organized as follows: Section 2 introduces the preliminaries of Dempster-Shafer evidence theory (DSET) and Saaty's rating scale, and the proposed method for the design of an evidential reasoning-based network is presented in Section 3, which includes the process of establishing an index system, the construction of basic belief assignment (BBA), the assignment of weights, and the combination of BBA

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Summary

Introduction

The express delivery industry has grown rapidly. many express companies have emerged, such companies are still being formed at a rate that amounts to about a 40% increase in such companies every year [1]. The conventional optimal solutions mentioned above have are very complex to use for designing networks in which cargo must be transferred to hubs, and there is no way to accurately estimate the conditions of the ports, such as the volume of rainfall, the volume of railway transportation, the average throughput, and the hardware infrastructure. Since the network design problem in this paper involves complex transport cost, time, and conditions data, we used DSET to solve the evaluation task in order to determine the best choice of the transferring hub. The remainder of this paper is organized as follows: Section 2 introduces the preliminaries of DSET and Saaty's rating scale, and the proposed method for the design of an evidential reasoning-based network is presented, which includes the process of establishing an index system, the construction of BBA, the assignment of weights, and the combination of BBA.

Preliminaries
Basics of DSET
Indices
BBA construction
Results
Conclusions
Full Text
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