{"title":"基于模糊数学的企业财务风险评价研究","authors":"Y. Su, Yanmin Nie, Xi-xian Niu","doi":"10.1109/ICMLC.2010.5580548","DOIUrl":null,"url":null,"abstract":"Financial risk of a certain enterprise usually is categorized into a determination grade under the traditional evaluation method. The traditional classification can lead to part information loss, then result in mistake decisions of users. According to the characteristics of financial risk, a multi-level fuzzy model of comprehensive evaluation is put forward in this paper. The evaluation result can indicate the degree that the enterprise risk should belong to; help users to take advantage the enterprise risk information completely. To verify the accurate of new classification model, financial risk evaluation is carried out based on the data set of Shanghai Dianli. The result of simulated experiment shows that the fuzzy evaluation method ran well and can provide more useful information.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"14 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enterprise financial risk evaluation research based on fuzzy mathematics\",\"authors\":\"Y. Su, Yanmin Nie, Xi-xian Niu\",\"doi\":\"10.1109/ICMLC.2010.5580548\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Financial risk of a certain enterprise usually is categorized into a determination grade under the traditional evaluation method. The traditional classification can lead to part information loss, then result in mistake decisions of users. According to the characteristics of financial risk, a multi-level fuzzy model of comprehensive evaluation is put forward in this paper. The evaluation result can indicate the degree that the enterprise risk should belong to; help users to take advantage the enterprise risk information completely. To verify the accurate of new classification model, financial risk evaluation is carried out based on the data set of Shanghai Dianli. The result of simulated experiment shows that the fuzzy evaluation method ran well and can provide more useful information.\",\"PeriodicalId\":126080,\"journal\":{\"name\":\"2010 International Conference on Machine Learning and Cybernetics\",\"volume\":\"14 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2010.5580548\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2010.5580548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enterprise financial risk evaluation research based on fuzzy mathematics
Financial risk of a certain enterprise usually is categorized into a determination grade under the traditional evaluation method. The traditional classification can lead to part information loss, then result in mistake decisions of users. According to the characteristics of financial risk, a multi-level fuzzy model of comprehensive evaluation is put forward in this paper. The evaluation result can indicate the degree that the enterprise risk should belong to; help users to take advantage the enterprise risk information completely. To verify the accurate of new classification model, financial risk evaluation is carried out based on the data set of Shanghai Dianli. The result of simulated experiment shows that the fuzzy evaluation method ran well and can provide more useful information.
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