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The risk path selection problem in uncertain network

  • Shengguo Li
  • Jin PengEmail author
  • Bo Zhang
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  • 6 Downloads

Abstract

This paper characterizes the minimum risk path selection problem in an uncertain network. Assuming the accidental losses are the uncertain variables, we first present three types of uncertain risk indexes. After that, some uncertain risk programming models are built based on the proposed risk indexes. In order to obtain the minimum risk path, we convert these uncertain programming models to their corresponding deterministic forms by the operational law of uncertain variables. At last, a numerical example is given to demonstrate the models.

Keywords

Uncertain variable Uncertain network Uncertain programming Risk analysis 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China Grant Nos. 61873108, 61703438 and 11626234.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute of Uncertain SystemsHuanggang Normal UniversityHubeiChina
  2. 2.School of Statistics and MathematicsZhongnan University of Economics and LawHubeiChina

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