期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 29, 期 8, 页码 2271-2282出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2020.2997467
关键词
Hazardous materials; Transportation; Accidents; Biological system modeling; Sociology; Statistics; Open wireless architecture; Hazardous material (hazmat) transportation; ordered weighted averaging (OWA) operator; risk model; state variable weight (SVW) vector
资金
- National Natural Science Foundation of China [71722007, 71931001]
- Ser Cymru II COFUND Fellowship, U.K.
Reasonable risk models in hazardous material transportation are crucial for protecting lives, properties, and the environment. This article introduces two novel risk models using different aggregation methods, one supported by an ordered weighted averaging operator and the other by a state variable weight vector. These models effectively balance overall risk with local risks, depending on the completeness of weighting information.
Reasonable risk models in hazardous material transportation are of practical significance, for safeguarding the lives and properties, protecting the natural environment, and facilitating sustainable development. The existing risk models can be classified into summation risk and maximum risk models, which result in overreliance on overall or local risk. To overcome these problems, in this article, we present two novel risk models considering different aggregation methods on local risks. The first model is supported by an ordered weighted averaging (OWA) operator, which assigns the weights according to the position of the segment risk in the process of risk aggregation, and the second model is supported by state variable weight (SVW) vector, which adjusts the weights on segments according to the change of segment risk values. Generally speaking, an OWA risk model is used under the situation with complete weighting information, whereas an SVW risk model could be used under the situation with incomplete weighting information. Based on the analysis for variable weight mechanism, we show that both models could effectively balance the overall risk with the local risks assisted by weights variety. Numerical experiments are provided to illustrate the validity of the proposed risk models.
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