{"title":"利用模糊理论证明数据处理中的启发式方法,并应用于从模糊数据中检测商业周期","authors":"V. Kreinovich, H. Nguyen, Berlin Wu","doi":"10.1109/FUZZY.1999.793114","DOIUrl":null,"url":null,"abstract":"In this paper, we show that fuzzy theory can explain heuristic methods in inverse problems and numerical computations. As an example of application of these results, we analyze the problem of detecting business cycles from fuzzy data.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Justification of heuristic methods in data processing using fuzzy theory, with applications to detection of business cycles from fuzzy data\",\"authors\":\"V. Kreinovich, H. Nguyen, Berlin Wu\",\"doi\":\"10.1109/FUZZY.1999.793114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we show that fuzzy theory can explain heuristic methods in inverse problems and numerical computations. As an example of application of these results, we analyze the problem of detecting business cycles from fuzzy data.\",\"PeriodicalId\":344788,\"journal\":{\"name\":\"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1999.793114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1999.793114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Justification of heuristic methods in data processing using fuzzy theory, with applications to detection of business cycles from fuzzy data
In this paper, we show that fuzzy theory can explain heuristic methods in inverse problems and numerical computations. As an example of application of these results, we analyze the problem of detecting business cycles from fuzzy data.