Fire risk assessment for large-scale commercial buildings based on structure entropy weight method

2017 ◽  
Vol 94 ◽  
pp. 26-40 ◽  
Author(s):  
Fang Liu ◽  
Shengzhong Zhao ◽  
Miaocheng Weng ◽  
Yongqiang Liu
Author(s):  
Quanle Zou ◽  
Tiancheng Zhang ◽  
Wei Liu

In recent years, various large- and medium-sized shopping malls have been essential components of each city with the speed-up of China’s urbanization process and the improvement of residents’ living standard. A method for evaluating fire risk in shopping malls based on quantified safety checklist and structure entropy weight method was proposed according to related literatures as well as laws and regulations by analyzing the characteristics of fires occurring in shopping malls in recent years. At first, the factors influencing the fire risk in shopping malls were determined by carrying out on-site survey and visiting related organizations to construct an evaluation index system for fires occurring in shopping malls; afterwards, a quantified safety checklist composed of four parts (i.e. safety grade, grade description, scoring criterion and index quantification) was established based on related laws and regulations; subsequently, index weights were determined by utilizing structure entropy weight method, thus putting forward a method for assessing fire risk in shopping malls based on quantified safety checklist and structure entropy weight method. Eventually, the applicability of the evaluation method was validated exampled by Wal-Mart. The research result provides a theoretical basis for further improvement of the theoretical system for fire risk evaluation in shopping malls, and also exerts practical and guidance significance on timeous and effective early warning as well as prevention and control of building fires.


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.


2019 ◽  
Vol 11 (3) ◽  
pp. 184-191
Author(s):  
Amir Kermani Hesarshahabi ◽  
Ramazan Mirzaei ◽  
Reza Gholamnia ◽  
◽  
◽  
...  

Sign in / Sign up

Export Citation Format

Share Document