Abstract—Aiming at the selection of fuzzy AHP and fuzzy DH methods in the previous studies, this paper evaluate the qualitative index system using expert questionnaire, the self-learning BP neural network model to construct the index of system, and complete the establishment of model, in order to avoid the serious subjectivity, and using statistical and measurement methods test the reliability index, analyze the validity of the evaluation index system and completeness. Finally, the paper validate the practicability of the model. Keywords-Geological disaster; Disaster prevention and mitigation; Neural network; Risk assessmen
© 2020. All Rights Reserved. The article focuses on the problem of assessing the level of the fuzzy ...
One of the most critical challenges in preventive planning and disaster management is the multitudin...
AbstractTo effectively deal with the frequent natural disasters and make good decisions, a clear and...
Earthquakes are natural phenomena, which induce natural hazard that seriously threatens urban areas,...
Abstract: To overcome the difficulty in understanding quantitative evaluation on actually safety ass...
The fuzzy sets theory and the artificial neural networks are computational intelligence tools which ...
This article presents a case study on the risk assessment of geohazards along Cheng-Kun railway line...
Based on BPBD (2018), Kendal Regency in 2017 have occurred 154 hazards, that are 30 floods, 19 lands...
With the development of mine industry, tailings storage facility (TSF), as the important facility of...
Risk assessment is the most significant factors in risk management. Earlier researches have shown th...
BackgroundThe article proposes a network public opinion risk assessment model for earthquake disaste...
This chapter describes the algorithmic basis of a computational intelligence technique, based on a n...
In solving various real-world decision situations, it is necessary to handle uncertainties efficient...
The floods have undermined the sustainable construction of cities because of their sudden and destru...
Marketing risk early-warning system is based on evaluation. Integrating fuzzy and neural network, ma...
© 2020. All Rights Reserved. The article focuses on the problem of assessing the level of the fuzzy ...
One of the most critical challenges in preventive planning and disaster management is the multitudin...
AbstractTo effectively deal with the frequent natural disasters and make good decisions, a clear and...
Earthquakes are natural phenomena, which induce natural hazard that seriously threatens urban areas,...
Abstract: To overcome the difficulty in understanding quantitative evaluation on actually safety ass...
The fuzzy sets theory and the artificial neural networks are computational intelligence tools which ...
This article presents a case study on the risk assessment of geohazards along Cheng-Kun railway line...
Based on BPBD (2018), Kendal Regency in 2017 have occurred 154 hazards, that are 30 floods, 19 lands...
With the development of mine industry, tailings storage facility (TSF), as the important facility of...
Risk assessment is the most significant factors in risk management. Earlier researches have shown th...
BackgroundThe article proposes a network public opinion risk assessment model for earthquake disaste...
This chapter describes the algorithmic basis of a computational intelligence technique, based on a n...
In solving various real-world decision situations, it is necessary to handle uncertainties efficient...
The floods have undermined the sustainable construction of cities because of their sudden and destru...
Marketing risk early-warning system is based on evaluation. Integrating fuzzy and neural network, ma...
© 2020. All Rights Reserved. The article focuses on the problem of assessing the level of the fuzzy ...
One of the most critical challenges in preventive planning and disaster management is the multitudin...
AbstractTo effectively deal with the frequent natural disasters and make good decisions, a clear and...