{"title":"Research and Event Control on Risk Factors of Auto Insurance Claim","authors":"Ma Xin, Hang Li, Yingnan Liu","doi":"10.1109/ISCSIC54682.2021.00060","DOIUrl":null,"url":null,"abstract":"With the formal implementation of the “Guiding Opinions on Implementing the Comprehensive Reform of Auto Insurance”, the average reduction in premiums paid by vehicles across the country is about 27%. Under the condition of stable compensation level, the decrease of earned premium leads to the increase of comprehensive compensation ratio, which leads to the further increase of comprehensive cost ratio of auto insurance business and the increasing difficulty of making profit of auto insurance business. Therefore, in order to reduce the overall cost rate, auto insurance companies need to strengthen the risk management and control of auto insurance claims expenditures, and reduce economic losses due to fraud cases or human causes. This article first uses the fusion of the AHP-DEMATEL method and the entropy method to study, analyze and evaluate the risk factors of auto insurance claims, and establish the linkage correspondence between risk factors and risk management; then based on the improved compound event processing model, The risk events that trigger risk factors are captured to achieve real-time management and control of risk events; finally, combined with the weight score of the risk factor, the risk score evaluation of the claim case and the risk control score of the auto insurance business under the action of the risk factor can be formed.","PeriodicalId":431036,"journal":{"name":"2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCSIC54682.2021.00060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the formal implementation of the “Guiding Opinions on Implementing the Comprehensive Reform of Auto Insurance”, the average reduction in premiums paid by vehicles across the country is about 27%. Under the condition of stable compensation level, the decrease of earned premium leads to the increase of comprehensive compensation ratio, which leads to the further increase of comprehensive cost ratio of auto insurance business and the increasing difficulty of making profit of auto insurance business. Therefore, in order to reduce the overall cost rate, auto insurance companies need to strengthen the risk management and control of auto insurance claims expenditures, and reduce economic losses due to fraud cases or human causes. This article first uses the fusion of the AHP-DEMATEL method and the entropy method to study, analyze and evaluate the risk factors of auto insurance claims, and establish the linkage correspondence between risk factors and risk management; then based on the improved compound event processing model, The risk events that trigger risk factors are captured to achieve real-time management and control of risk events; finally, combined with the weight score of the risk factor, the risk score evaluation of the claim case and the risk control score of the auto insurance business under the action of the risk factor can be formed.