scholarly journals The risk assessment of tunnel surrounding rock deformation based on entropy weight method and extension matter element method

Author(s):  
Shoujiang Hou
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
X. B. Gu ◽  
S. T. Wu ◽  
X. J. Ji ◽  
Y. H. Zhu

The debris flow is one of the geological hazards; its occurrence is complex, fuzzy, and random. And it is affected by many indices; a new multi-index assessment method is proposed to analyze the risk level of debris flow based on the entropy weight-normal cloud model in Banshanmen gully. The index weight is calculated by using the entropy weight method. Then, the certainty degree of each index belonging to the corresponding cloud is obtained by using the cloud model. The final risk level of debris flow is determined according to the synthetic certainty degree. The conclusions are drawn that the method is feasible and accurate rate of risk estimation for debris flow is very high, so a new method and thoughts for the risk assessment of debris flow can be provided in the future.


2017 ◽  
Vol 36 (3) ◽  
pp. 1621-1631 ◽  
Author(s):  
Cheng-lu Gao ◽  
Shu-cai Li ◽  
Jing Wang ◽  
Li-ping Li ◽  
Peng Lin

2016 ◽  
Vol 19 (3) ◽  
pp. 249-263 ◽  
Author(s):  
Yao-Wen Xue ◽  
Yan-Hua Zhang

Purpose To implement a risk-based regulatory approach, this paper aims to make an assessment on customers' money laundering risk and conducts some applications. Design/methodology/approach During the transition of a regulatory approach from “rule-based” to “risk-based”, this paper considers that the area of a customer, types of business and the industries to which the customer belongs are the main indicators to judge money laundering risk of a customer. Based on the statistical analysis of 221 typical money laundering cases, first-class index weights are given by using the entropy weight method and then by combining with the membership function, this paper determines a customer’s money laundering risk levels. On the basis of the entropy weight method, this paper uses the C5.0 algorithm to construct a decision tree model and then carries out application research on customer money laundering risk assessment to verify the effectiveness of the entropy weight method and the decision tree model. Findings This empirical research found the weights of three key money laundering indicators: customer areas, business types and corresponding industries. Originality/value Asserting that current money laundering risk assessments of customers are marginal at best, this paper contends from the perspective of practice, and applies the entropy weight method and the decision tree model for money laundering risk assessment of customers.


2012 ◽  
Vol 446-449 ◽  
pp. 3015-3018 ◽  
Author(s):  
Jing Feng ◽  
Ying Wang ◽  
Xian Yong Xiao

The synthetic risk assessment method incorporating the severity and the possibility is used to identify the catastrophic event sequences in power system. The weight setting of each severity index is determined by the proposed entropy weight method. Comparing with traditional methods, the entropy weight method can determine the weight coefficients objectively. The simulation results for the WSCC-9 buses system have proved the validity of the proposed method. This method can be used in the practice power system.


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