An Integrated Risk Assessment Model of Township-Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory

Risk Analysis ◽  
2014 ◽  
Vol 34 (4) ◽  
pp. 656-669 ◽  
Author(s):  
Yu Chen ◽  
Longcang Shu ◽  
Thomas J. Burbey
Keyword(s):  
Risk Assessment ◽  
Set Theory ◽  
Land Subsidence ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Integrated Risk Assessment ◽  
Integrated Risk ◽  
Reasoning Algorithm

An integrated risk assessment model for safe Arctic navigation

2020 ◽  
Vol 142 ◽  
pp. 101-114
Author(s):  
Chi Zhang ◽  
Di Zhang ◽  
Mingyang Zhang ◽  
Xiao Lang ◽  
Wengang Mao
Keyword(s):  
Risk Assessment ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Integrated Risk Assessment ◽  
Integrated Risk ◽  
Arctic Navigation

Uncertainty Analysis in Quantitative Risk Assessment

1996 ◽  
Vol 118 (1) ◽  
pp. 121-124 ◽  
Author(s):  
S. Quin ◽  
G. E. O. Widera
Keyword(s):  
Risk Assessment ◽  
Uncertainty Analysis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Failure Modes ◽  
The Other ◽  
Quantitative Risk Assessment ◽  
Engineering Practice ◽  
Criticality Analysis

Of the quantitative approaches applied to inservice inspection, failure modes, effects,criticality analysis (FMECA) methodology is recommended. FMECA can provide a straightforward illustration of how risk can be used to prioritize components for inspection (ASME, 1991). But, at present, it has two limitations. One is that it cannot be used in the situation where components have multiple failure modes. The other is that it cannot be used in the situation where the uncertainties in the data of components have nonuniform distributions. In engineering practice, these two situations exist in many cases. In this paper, two methods based on fuzzy set theory are presented to treat these problems. The methods proposed here can be considered as a supplement to FMECA, thus extending its range of applicability.

scholarly journals Fuzzy risk assessment of a deeply buried tunnel under incomplete information

2018 ◽  
Vol 5 (10) ◽  
pp. 180305 ◽  
Author(s):  
Yuanpu Xia ◽  
Ziming Xiong ◽  
Hao Lu ◽  
Zhu Wen ◽  
Chao Ma
Keyword(s):  
Risk Assessment ◽  
Similarity Measure ◽  
Fuzzy Set ◽  
Risk Control ◽  
Assessment Model ◽  
Design Stage ◽  
Tunnel Construction ◽  
Risk Assessment Model ◽  
Control Effect ◽  
Fuzzy Risk Assessment

Risk assessment has always been an important part of safety risk research in tunnel and underground engineering. Owing to the characteristics of tunnel construction, to achieve an expected risk control effect, it is necessary to carry out accurate risk assessment research according to the risk assessment concept based on the entire tunnel construction process. At present, because of the frequent occurrences of safety accidents, a variety of risk assessment models have been proposed for different tunnel projects such as subways and railway tunnels, which can be roughly classified into two types: probability-based and fuzzy set theories. However, the existing models may be more suitable for the construction stage, and the design stage lacks a reliable and practical fuzzy risk assessment method. Therefore, based on fuzzy set theory and similarity measure theory, a risk assessment model is proposed to adapt to the characteristics that the risk information is difficult to quantify the fuzziness in the design phase. Firstly, new ideas of fuzzy risk analysis are proposed to overcome deficiencies in existing methods; secondly, a new similarity measure is constructed; then fusing multi-source fuzzy information based on evidence theory, the relationship between similarity measure and mass function is established. Finally, the new method is applied to the Yuelongmen tunnel. Results show that the concept of risk control and the risk assessment model are feasible.

Risk Assessment of Enterprise Merger and Acquisition Based on Event Tree Method and Fuzzy Set Theory

2013 ◽  
Vol 13 (21) ◽  
pp. 4819-4825 ◽  
Author(s):  
Guang-Rong Li ◽  
Chun-He Li ◽  
Xiu-Hong Niu ◽  
Li-Ping Yang
Keyword(s):  
Risk Assessment ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Merger And Acquisition ◽  
Event Tree ◽  
Tree Method
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