Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness.In the context of real estate enterprises,credit risk assessment provides a basis for ban...Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness.In the context of real estate enterprises,credit risk assessment provides a basis for banks and other financial institutions to choose suitable investment objects.Additionally,it encourages real estate enterprises to abide by market norms and provide reliable information for the standardized management of the real estate industry.However,Chinese real estate companies are hesitant to disclose their actual operating data due to privacy concerns,making subjective evalu-ation approaches inevitable,occupying important roles in accomplishing Chinese real estate enterprise credit risk assessment tasks.To improve the normative and reliability of credit risk assessment for Chinese real estate enterprises,this study proposes an integrated multi-criteria group decision-making approach.First,a credit risk assessment index for Chinese real estate enterprises is established.Then,the proposed framework combines proportional hesitant fuzzy linguistic term sets and preference ranking organization method for enrichment evaluation II methods.This approach is suitable for processing large amounts of data with high uncertainty,which is often the case in credit risk assessment tasks of Chinese real estate enterprises involving massive subjec-tive evaluation information.Finally,the proposed model is validated through a case study accompanied by sensitivity and comparative analyses to verify its rationality and feasibility.This study contributes to the research on credit assessment for Chinese real estate enterprises and provides a revised paradigm for real estate enterprise credit risk assessment.展开更多
Lightning disaster risk assessment,as an intuitive method to reflect the risk of regional lightning disasters,has aroused the research interest of many researchers.Nowadays,there are many schemes for lightning disaste...Lightning disaster risk assessment,as an intuitive method to reflect the risk of regional lightning disasters,has aroused the research interest of many researchers.Nowadays,there are many schemes for lightning disaster risk assessment,but there are also some shortcomings,such as the resolution of the assessment is not clear enough,the accuracy rate cannot be verified,and the weight distribution has a strong subjective trend.This paper is guided by lightning disaster data and combines lightning data,population data and GDP data.Through support vector machine(SVM),it explores a way to combine artificial intelligence algorithms with lightning disaster risk assessment.By fitting the lightning disaster data,the weight distribution between the various impact factors is obtained.In the experiment,the probability of lightning disaster is used to compare with the actual occurrence of lightning disaster.It can be found that the disaster risk assessment model proposed in this paper is more reasonable for the lightning risk.It has been verified that the accuracy rate of the assessment model in this paper has reached 80.2%,which reflects the superiority of the model.展开更多
The problems in calculating parameters of equivalent collection area,earth resistivity and lightning protection category as well as their effects on lightning disaster risk assessment were analyzed,and practical examp...The problems in calculating parameters of equivalent collection area,earth resistivity and lightning protection category as well as their effects on lightning disaster risk assessment were analyzed,and practical examples proved the effects of those differences on lightning protection identification,intercept efficiency calculation in evaluating lightning disaster risk. In the meantime,several new concepts,such as the height of buildings for lightning protection were defined,and a fixed radius value was set to the ground flash density for calculation,establishing the ground flash density formula to solve the problems in parameter calculation,which would be beneficial to promote the standardization of lightning disaster risk assessment.展开更多
During the key period of our country＇ s transformation of economic development mode and adjustment of the industrial structure, real estate market is the key areas of China＇s economic reform. Whether de-leverage and...During the key period of our country＇ s transformation of economic development mode and adjustment of the industrial structure, real estate market is the key areas of China＇s economic reform. Whether de-leverage and destocking could be achieved directly related to China＇s economic development can achieve the smooth transition and the sound and rapid development of economic. But the rapid development of the real estate industry leads to high prices and several years of continuous policy control to make real estate development reasonable. Based on the current situation of the real estate market in our country, this paper establish real estate risk assessment model. Take the actual case of A city development project as an example. First, calculate and analysis synthetically by fuzzy comprehensive evaluation method. Finally the evaluation results of the model are consistent with the actual project development. It provides development project risk strategy for real estate enterprises.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.72171182 and 72031009)the Spanish Ministry of Economy and Competitiveness through the Spanish National Research Project(Grant No.PGC2018-099402-B-I00)the Spanish postdoctoral fellowship program Ramon y Cajal(Grant No.RyC-2017-21978).
文摘Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness.In the context of real estate enterprises,credit risk assessment provides a basis for banks and other financial institutions to choose suitable investment objects.Additionally,it encourages real estate enterprises to abide by market norms and provide reliable information for the standardized management of the real estate industry.However,Chinese real estate companies are hesitant to disclose their actual operating data due to privacy concerns,making subjective evalu-ation approaches inevitable,occupying important roles in accomplishing Chinese real estate enterprise credit risk assessment tasks.To improve the normative and reliability of credit risk assessment for Chinese real estate enterprises,this study proposes an integrated multi-criteria group decision-making approach.First,a credit risk assessment index for Chinese real estate enterprises is established.Then,the proposed framework combines proportional hesitant fuzzy linguistic term sets and preference ranking organization method for enrichment evaluation II methods.This approach is suitable for processing large amounts of data with high uncertainty,which is often the case in credit risk assessment tasks of Chinese real estate enterprises involving massive subjec-tive evaluation information.Finally,the proposed model is validated through a case study accompanied by sensitivity and comparative analyses to verify its rationality and feasibility.This study contributes to the research on credit assessment for Chinese real estate enterprises and provides a revised paradigm for real estate enterprise credit risk assessment.
基金This work is supported by Network Security Inspection and Monitoring System Project of State Grid Corporation of China.
文摘Lightning disaster risk assessment,as an intuitive method to reflect the risk of regional lightning disasters,has aroused the research interest of many researchers.Nowadays,there are many schemes for lightning disaster risk assessment,but there are also some shortcomings,such as the resolution of the assessment is not clear enough,the accuracy rate cannot be verified,and the weight distribution has a strong subjective trend.This paper is guided by lightning disaster data and combines lightning data,population data and GDP data.Through support vector machine(SVM),it explores a way to combine artificial intelligence algorithms with lightning disaster risk assessment.By fitting the lightning disaster data,the weight distribution between the various impact factors is obtained.In the experiment,the probability of lightning disaster is used to compare with the actual occurrence of lightning disaster.It can be found that the disaster risk assessment model proposed in this paper is more reasonable for the lightning risk.It has been verified that the accuracy rate of the assessment model in this paper has reached 80.2%,which reflects the superiority of the model.
文摘The problems in calculating parameters of equivalent collection area,earth resistivity and lightning protection category as well as their effects on lightning disaster risk assessment were analyzed,and practical examples proved the effects of those differences on lightning protection identification,intercept efficiency calculation in evaluating lightning disaster risk. In the meantime,several new concepts,such as the height of buildings for lightning protection were defined,and a fixed radius value was set to the ground flash density for calculation,establishing the ground flash density formula to solve the problems in parameter calculation,which would be beneficial to promote the standardization of lightning disaster risk assessment.
文摘During the key period of our country＇ s transformation of economic development mode and adjustment of the industrial structure, real estate market is the key areas of China＇s economic reform. Whether de-leverage and destocking could be achieved directly related to China＇s economic development can achieve the smooth transition and the sound and rapid development of economic. But the rapid development of the real estate industry leads to high prices and several years of continuous policy control to make real estate development reasonable. Based on the current situation of the real estate market in our country, this paper establish real estate risk assessment model. Take the actual case of A city development project as an example. First, calculate and analysis synthetically by fuzzy comprehensive evaluation method. Finally the evaluation results of the model are consistent with the actual project development. It provides development project risk strategy for real estate enterprises.
