Flood risk assessment model combining hierarchy process and variable fuzzy set theory: a case study in Zhejiang province, China

Wu, Xu; Shen, Xueshun; Li, Jianshe

doi:10.1007/s12517-022-09440-5

Cited by 6 publications

(3 citation statements)

References 62 publications

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“…Communication System. In order to measure the performance of the wireless mobile power communication system risk measurement model based on the intelligent algorithm developed in this paper, the real-time nature of the wireless mobile communication risk data source culture is selected as the research material [18,19]. Due to space limitations, only the risk cost of mobile communication is shown in Figure 3.…”

Section: Risk Assessment Data Source Of Wireless Mobile Powermentioning

confidence: 99%

Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm

Guo

2022

International Transactions on Electrical Energy Systems

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In order to solve the problems of low-risk assessment accuracy and long time-consuming assessment of current wireless mobile communication systems, a wireless mobile communication system based on artificial intelligence algorithms is proposed. First, the research status of risk assessment of wireless mobile communication system at home and abroad is analyzed, and the risk assessment index system of wireless mobile communication system is established; then, the learning samples are collected according to the risk assessment index system of wireless mobile communication system, and artificial intelligence algorithm is used to optimize the neural network. Build the wireless mobile communication system risk assessment model; finally, carry out the wireless mobile communication system risk assessment simulation comparison test. The experimental results show that the accuracy rate of the risk assessment of the wireless mobile communication system by the artificial intelligence algorithm is over 95%, and the assessment error is smaller than in other models. The risk assessment time of the wireless mobile communication system is significantly reduced, the real-time performance is better, and it has a higher practical application value.

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Section: Risk Assessment Data Source Of Wireless Mobile Powermentioning

confidence: 99%

Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm

Guo

2022

International Transactions on Electrical Energy Systems

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“…This paper analyzes the QAR data based on the variable fuzzy set theory and constructs the risk level membership function according to the CFIT risk monitoring items. The calculation steps are as follows (Kondo et al , 2014; Chen et al , 2018; Wu et al , 2022): Suppose the sample set is X=[x1,x2,⋯,xn], there are m indicators in every sample, and the sample indicator matrix is as follows: …”

Section: Risk Assessment Model Of Controlled Flight Into Terrain Base...mentioning

confidence: 99%

Risk assessment method for controlled flight into terrain of airlines based on QAR data

Guo

Sun

et al. 2023

AEAT

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Purpose The purpose of this paper is to assess the risk of controlled flight into terrain (CFIT) for airlines and to develop a practical method for evaluating and predicting CFIT risk to ensure safe and efficient airline operations. Design/methodology/approach In accordance with the monitoring project specification issued by the Flight Standards Department of the Civil Aviation Administration of China (CAAC), a preliminary draft of evaluation indicators for CFIT risk was developed based on the literature review and semi-structured interviews. Fifteen aviation experts were then selected and invited to participate in a Delphi method to revise the draft. Analytic hierarchy process (AHP) and entropy weight method were used to determine the combined weight of the indicators. The variable fuzzy set model and quick access recorder (QAR) data were applied to evaluate the CFIT risk of an airline from 2007 to 2018, and the classification results were compared with actual operational data. Findings The research findings reveal that the six most significant monitoring items affecting CFIT risk are incorrect configuration settings during landing, loss of altitude during climbing, ground proximity warning, G/S deviation, flap extension delay during landing and incorrect takeoff configuration. The CFIT risk of airlines has shown an increasing trend since 2015. The values in 2010, 2017 and 2018 were greater than 2 and less than 2.5, indicating that the CFIT risk is at Level 2, close to Level 3, and the risk is low but approaching medium. Practical implications Using the combination weight determined by AHP and entropy weight method to rank the weight of 15 monitoring items, airlines can take necessary measures (simulator training, knowledge training) to reduce the occurrence of monitoring items with high weight to reduce CFIT risk. This risk assessment method can quantitatively evaluate the CFIT risk of airlines and provide theoretical guidance and technical support for airlines to formulate safety management measures and flight training programs, enabling the interconnection between QAR data and flight quality. Originality/value The proposed method in this study differs from traditional approaches by offering a quantitative assessment of CFIT risk for airlines and enabling the interconnection between QAR data and flight quality.

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“…Recently, owing to frequent extreme weather events and the increasing occurrence of flood events exceeding standards, and problems such as design defects, poor construction quality, and inadequate operation and management of many reservoir dams in China, dam collapses occur occasionally (Chen Junfei et al, 2020;Xu et al, 2022). With continuous social and economic development, people are paying attention to the quality of their living environments (Tu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Dam failure environmental standards in China based on ecosystem service value

Li,

Yi,

Liu

et al. 2023

Front. Earth Sci.

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Dam failure risk standards are the foundation of risk decision-making for dam managers. However, as an important component of dam failure risk standards, there are currently no unified environmental risk standards. Drawing on research ideas of ecological economics on ecosystem service values and equivalent factor methods, this study quantified environmental values and effectively connected environmental standards with existing standards using the ALARP principle and the F-N curve. Considering the differences in environmental and economic conditions in different regions, a risk preference matrix was constructed to determine the risk preference of each region and formulate the dam failure environmental risk standards for China. This study presents a preliminary exploration of the formulation of dam failure environmental risk standards, providing new methods and ideas for subsequent research.

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Flood risk assessment model combining hierarchy process and variable fuzzy set theory: a case study in Zhejiang province, China

Cited by 6 publications

References 62 publications

Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm

Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm

Risk assessment method for controlled flight into terrain of airlines based on QAR data

Dam failure environmental standards in China based on ecosystem service value

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