Risk assessment for long-distance gas pipelines in coal mine gobs based on structure entropy weight method and multi-step backward cloud transformation algorithm based on sampling with replacement

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.

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Synthetic Risk Assessment of Catastrophic Failures in Power System Based on Entropy Weight Method

Advanced Materials Research ◽

10.4028/scientific5/amr.446-449.3015 ◽

2012 ◽

Vol 446-449 ◽

pp. 3015-3018 ◽

Cited By ~ 2

Author(s):

Jing Feng ◽

Ying Wang ◽

Xian Yong Xiao

Keyword(s):

Risk Assessment ◽

Power System ◽

Entropy Weight ◽

Catastrophic Failures ◽

Entropy Weight Method ◽

Weight Method

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The Risk Assessment of Tunnels Based on Grey Correlation and Entropy Weight Method

Geotechnical and Geological Engineering ◽

10.1007/s10706-017-0415-5 ◽

2017 ◽

Vol 36 (3) ◽

pp. 1621-1631 ◽

Cited By ~ 10

Author(s):

Cheng-lu Gao ◽

Shu-cai Li ◽

Jing Wang ◽

Li-ping Li ◽

Peng Lin

Keyword(s):

Risk Assessment ◽

Entropy Weight ◽

Grey Correlation ◽

Entropy Weight Method ◽

Weight Method

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Research on money laundering risk assessment of customers – based on the empirical research of China

Journal of Money Laundering Control ◽

10.1108/jmlc-01-2015-0004 ◽

2016 ◽

Vol 19 (3) ◽

pp. 249-263 ◽

Cited By ~ 5

Author(s):

Yao-Wen Xue ◽

Yan-Hua Zhang

Keyword(s):

Risk Assessment ◽

Decision Tree ◽

Money Laundering ◽

Decision Tree Model ◽

Tree Model ◽

Entropy Weight ◽

Content Type ◽

Regulatory Approach ◽

Entropy Weight Method ◽

Weight Method

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.

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