Risk Assessment and Risk Control for Navigation Environment of Dock Waters Adjacent to Fairway

2013 ◽  
Vol 779-780 ◽  
pp. 1162-1165
Author(s):  
Xun Yu
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Relative Risk ◽  
Index System ◽  
Risk Control ◽  
System Engineering ◽  
Control Measures ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Hainan Province

The System Engineering principles are applied to identify the risk factors of navigation environment of dock waters adjacent to fairway. The Evaluation Index System for risks of navigation environment of such a dock is established and the relative risk degrees among each index are reflected quantitatively by weights of risk factors obtained by adopting the method of AHP. Based on the identified risk factors, the risk control measures for navigation environment of dock waters adjacent to fairway are systematically put forward. One dock in Yangpu Port, Hainan Province, is cited as an example to analyze, and the risk control measures are proposed accordingly.

Study of the Safety Evaluation of Urban Subway Operation Based on Extenics

2014 ◽  
Vol 919-921 ◽  
pp. 878-882
Author(s):  
Shi Mei Bai ◽  
Hong Sheng Sun ◽  
Yong Chun Zhao
Keyword(s):  
Risk Factors ◽  
Index System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Extension Method ◽  
The Core ◽  
Multi Level

In this context, firstly, the safety evaluation index system of subway operation is established on the basis of the recognition and analysis of risk factors. Then, the paper constructs the multi-level extensible evaluation model for subway operation safety with the extension method as the core. Finally, Beijing Changping subway is studied as an example. The risk degrees of the line and its subsystems are determined. A new method for comprehensive evaluation of subway operation safety in china is put forward.

Regression analysis of supply chain financial risk based on machine learning and fuzzy decision model

2020 ◽  
pp. 1-11
Author(s):  
Fan Xuan
Keyword(s):  
Supply Chain ◽  
Financial Institutions ◽  
Financial Services ◽  
Index System ◽  
Financial Risk ◽  
Control Measures ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Supply Chain Finance ◽  
Strong Control

Supply chain financial risk control has become the biggest obstacle restricting financial institutions from developing supply chain financial services. If financial institutions want to make a difference in the supply chain finance business, they need to implement strong control measures against supply chain finance risks. Based on the research of supply chain finance and risk related theories, this paper uses fuzzy preference relations and selects the main risk criteria to construct a risk evaluation index system. Moreover, this paper takes the development of J company’s supply chain finance business as a background to conduct an empirical analysis and proposes the risk management measures and development strategies of J company’s actual supply chain finance business. The combination of quantitative analysis and qualitative evaluation is more comprehensive and operational value for the research and management of supply chain financial risks. In addition, this paper uses the evaluation index system constructed in this paper to conduct a more comprehensive summary and analysis of the internal and external environment of risk influencing factors. The research results show that the performance of the model constructed in this paper is good.

Regional Earthquake Disaster Macro Risk Assessment Model Research

2011 ◽  
Vol 368-373 ◽  
pp. 2983-2986
Author(s):  
Jiang Lin Li ◽  
Jing Yu Su ◽  
Xian Zhang Li
Keyword(s):  
Risk Assessment ◽  
Index System ◽  
Economic Loss ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Evaluation Index ◽  
Risk Assessment Model ◽  
Earthquake Disaster ◽  
Regional Earthquake ◽  
Seismic Disaster

Regional earthquake disaster macro risk assessment model can be devided into two parts:economic losses and casualities. through the compare of domestic earthquake disaster as-sessment model,the existing model evaluation index is sole,and it can not reflect the differences of urban earthquake disaster in the area,according to this we built the regional seismic disaster evaluation index system, and use the PCA method to analyze the index,and get the weights of each index,further to build the regional seismic disaster economic loss evaluation index system effectde by multiple in-dex.Take the previous data between 1996 to 2009 as an example to analyze,compare the reckoning and the existing model evaluate results,and check the effectiveness and feasibility of the model.

scholarly journals Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Risk Preference ◽  
System Optimization ◽  
Decision Makers ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Risk Appetite ◽  
Utility Evaluation ◽  
The Index System

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

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