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- Title
The risk path selection problem in uncertain network.
- Authors
Li, Shengguo; Peng, Jin; Zhang, Bo
- 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.
- Subjects
FORMS (Law); RISK assessment
- Publication
Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2020, Vol 24, Issue 9, p6375
- ISSN
1432-7643
- Publication type
Article
- DOI
10.1007/s00500-019-04132-x