Risk assessment of loess tunnel collapse during construction based on an attribute recognition model

2021 ◽  
Author(s):  
Zengguang Xu ◽  
Ningguo Cai ◽  
Xiaofeng Li ◽  
Meiting Xian ◽  
Tuanwei Dong
Keyword(s):  
Risk Assessment ◽  
Recognition Model ◽  
Tunnel Collapse ◽  
Attribute Recognition

Attribute recognition model for risk assessment of water inrush

2017 ◽  
Vol 78 (2) ◽  
pp. 1057-1071 ◽  
Author(s):  
Jing Wang ◽  
Shu-cai Li ◽  
Li-ping Li ◽  
Peng Lin ◽  
Zhen-hao Xu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Water Inrush ◽  
Recognition Model ◽  
Attribute Recognition

Attribute Recognition Model Based on Entropy Weight and Its Application to Evaluation of Groundwater Quality

2010 ◽  
Vol 29-32 ◽  
pp. 2698-2702
Author(s):  
Xian Qi Zhang ◽  
Wen Hong Feng ◽  
Nan Nan Li
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Information Entropy ◽  
Simple Calculation ◽  
Weight Coefficient ◽  
Entropy Theory ◽  
Entropy Weight ◽  
Recognition Model ◽  
Model Based ◽  
Attribute Recognition

It is necessary to take into account synthetically attribute of every index because of independence and incompatibility resulted from single index evaluating outcomes. Through the information entropy theory and attribute recognition model being combined together, attribute recognition model based on entropy weight is constructed and applied to evaluating groundwater quality by a new method, weight coefficient by the law of entropy value is exercised so that it is more objective. The outcome from concrete application indicates that it is suitable to evaluate water quality with reasonable conclusion and simple calculation.

The Application of Entropy Weight of Attribute Recognition Model in Reservoir Eutrophication Evaluation

2013 ◽  
Vol 477-478 ◽  
pp. 870-873
Author(s):  
Du Wu ◽  
De Shan Tang ◽  
Xing Wang Lu ◽  
Wen Zhong Yu
Keyword(s):  
Weight Distribution ◽  
Guangdong Province ◽  
Element Model ◽  
Recognition Method ◽  
Entropy Weight ◽  
Recognition Model ◽  
Calculation Results ◽  
Attribute Recognition ◽  
Matter Element Model

Subjective factors could affect the weight distribution of each index in evaluation of reservoir eutrophication, so the example used entropy to deal with the weight distribution of each index. Combined attributes recognition method, the writer selected six indicators to build the entropy weight of attribute recognition model about reservoir eutrophication of ten large reservoirs in Guangdong Province. By comparing the calculated results with the results of matter-element model, the calculation results were basically consistent. So entropy weight of attribute recognition model is applicable to the evaluation of the reservoir eutrophication and it can ensure the fairness and reasonableness of weight distribution.

Analytical model for assessing collapse risk during mountain tunnel construction

2016 ◽  
Vol 53 (2) ◽  
pp. 326-342 ◽  
Author(s):  
Guo-Hua Zhang ◽  
Yu-Yong Jiao ◽  
Li-Biao Chen ◽  
Hao Wang ◽  
Shu-Cai Li
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Index System ◽  
Assessment Model ◽  
Tunnel Construction ◽  
Assessment Index ◽  
Assessment Index System ◽  
Geological Prediction ◽  
Tunnel Collapse ◽  
Mountain Tunnel

Risk management for safety in mountain tunnel construction is of great significance. However, existing research lags behind engineering applications. In this paper, the risk of mountain tunnel collapse is used as an example to illustrate a new assessment method based on case-based reasoning, advanced geological prediction, and rough set theory. First, the risk surroundings and risk factors involved in tunnel collapse are integrated and summarized, and a risk assessment index system is established for tunnel collapse. At the same time, because the dynamic response parameters obtained by the advanced geological prediction usually indicate a typical geological structure, sensitive response parameters are introduced in the assessment index system. Advanced risk assessment can be performed for tunnel sections at a certain distance ahead of the tunnel face. Second, the major risk surroundings and the advanced geological prediction results are analyzed for the tunnel under assessment. Cases with similar attribute characteristics are selected via comparison with previous cases. Attribute reduction and calculation of weights are subsequently performed for the risk surroundings and risk factors of similar cases based on the attribute significance theory of rough sets. Finally, index screening and objective weights are applied in the fuzzy comprehensive assessment model. The results of this paper can be used to improve the theoretical level and reliability of risk assessment in tunnel safety and serve as a reference for tunnel construction.

scholarly journals Dynamic Risk Assessment Method of Tunnel Collapse Based on Attribute Interval Assessment Model and Application

2020 ◽  
Vol 29 (5) ◽  
pp. 3853-3864
Author(s):  
Sheng Wang ◽  
Li-ping Li ◽  
Shuai Cheng ◽  
Huijiang Hu ◽  
Hao Jin ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Assessment Method ◽  
Assessment Model ◽  
Dynamic Risk ◽  
Risk Assessment Method ◽  
Dynamic Risk Assessment ◽  
Tunnel Collapse

Comprehensive assessment of seawater quality based on an improved attribute recognition model

2006 ◽  
Vol 5 (4) ◽  
pp. 300-304 ◽  
Author(s):  
Libing Zhang ◽  
Jilin Cheng ◽  
Juliang Jin ◽  
Xiaohong Jiang
Keyword(s):  
Comprehensive Assessment ◽  
Recognition Model ◽  
Seawater Quality ◽  
Attribute Recognition
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