Based on the perception of flood risk factors derived from the lessons learned by the main stakeholders, namely the members of the National Emergency Response Plan (ORSEC) and the people affected by floods in the stud...Based on the perception of flood risk factors derived from the lessons learned by the main stakeholders, namely the members of the National Emergency Response Plan (ORSEC) and the people affected by floods in the study area (Thies, Senegal), this work consists of modelling the flood risk using Hierarchical Process Analysis (HPA). This modelling made it possible to determine the coherence index (CI) and the coherence ratio, which were evaluated respectively at 0.27% and 5% according to the perception of the members of the ORSEC Plan, and at 0.28% and 5% according to the perception of the disaster victims. These results show that the working approach is coherent and acceptable. We then carried out Hierarchical Fuzzy Process Analysis (HFPA), an extension of HFPA, which seeks to minimize the margins of error. FPHA uses fuzzification of perception contributions, interference rules and defuzzification to determine the Net Flood Risk Index (NFRI). Integrated with ArcGIS software, the NFRI is used to generate flood risk maps that reveal a high risk of vulnerability of the main outlets occupied by human settlements.展开更多
With the deepening of economic globalization,China’s economy and the global economy are becoming increasingly interdependent and closely linked,resulting in a more complex environment for domestic enterprises and hei...With the deepening of economic globalization,China’s economy and the global economy are becoming increasingly interdependent and closely linked,resulting in a more complex environment for domestic enterprises and heightened financial risks.To enhance the risk resilience of enterprises,the research methods for assessing financial risks are becoming more diverse.Traditional financial risk analysis methods,such as the single-argument model,have certain limitations in the practical application of enterprise financial risk evaluation.These methods cannot overcome the restrictions of time,region,and industry,and their application value is not fully realized.To better assist enterprises in addressing the complexities of financial risks,fuzzy hierarchical analysis is applied to the traditional hierarchical analysis method under fuzzy optimization conditions.This method focuses on indices of measurable comparability,facilitating a more reasonable and objective financial risk evaluation of enterprises,especially when comparing different companies in the new energy vehicle industry and conducting a longitudinal comparison of Company A.Fuzzy hierarchical analysis integrates qualitative judgment with quantitative analysis,using triangular fuzzy numbers to generate a judgment matrix.The results are transformed into an objective fuzzy set,enabling the quantification and structuring of complex system indicators and improving the rationality and accuracy of the enterprise’s financial risk evaluation.展开更多
文摘Based on the perception of flood risk factors derived from the lessons learned by the main stakeholders, namely the members of the National Emergency Response Plan (ORSEC) and the people affected by floods in the study area (Thies, Senegal), this work consists of modelling the flood risk using Hierarchical Process Analysis (HPA). This modelling made it possible to determine the coherence index (CI) and the coherence ratio, which were evaluated respectively at 0.27% and 5% according to the perception of the members of the ORSEC Plan, and at 0.28% and 5% according to the perception of the disaster victims. These results show that the working approach is coherent and acceptable. We then carried out Hierarchical Fuzzy Process Analysis (HFPA), an extension of HFPA, which seeks to minimize the margins of error. FPHA uses fuzzification of perception contributions, interference rules and defuzzification to determine the Net Flood Risk Index (NFRI). Integrated with ArcGIS software, the NFRI is used to generate flood risk maps that reveal a high risk of vulnerability of the main outlets occupied by human settlements.
文摘With the deepening of economic globalization,China’s economy and the global economy are becoming increasingly interdependent and closely linked,resulting in a more complex environment for domestic enterprises and heightened financial risks.To enhance the risk resilience of enterprises,the research methods for assessing financial risks are becoming more diverse.Traditional financial risk analysis methods,such as the single-argument model,have certain limitations in the practical application of enterprise financial risk evaluation.These methods cannot overcome the restrictions of time,region,and industry,and their application value is not fully realized.To better assist enterprises in addressing the complexities of financial risks,fuzzy hierarchical analysis is applied to the traditional hierarchical analysis method under fuzzy optimization conditions.This method focuses on indices of measurable comparability,facilitating a more reasonable and objective financial risk evaluation of enterprises,especially when comparing different companies in the new energy vehicle industry and conducting a longitudinal comparison of Company A.Fuzzy hierarchical analysis integrates qualitative judgment with quantitative analysis,using triangular fuzzy numbers to generate a judgment matrix.The results are transformed into an objective fuzzy set,enabling the quantification and structuring of complex system indicators and improving the rationality and accuracy of the enterprise’s financial risk evaluation.
