{"title":"插值语言术语:基于反馈规则的模糊系统中的不确定性表示","authors":"Joao Paulo Carvalho, J. Tomé","doi":"10.1109/NAFIPS.2003.1226762","DOIUrl":null,"url":null,"abstract":"Rule Based Fuzzy Systems with Feedback suffer from the problem of an uncontrolled spread in uncertainty representation due to the intrinsic characteristics of classical fuzzy inference that not even type-2 uncertainty representation can address. This paper proposes a simple solution that allows type-1 uncertainty representation in this systems.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Interpolated linguistic terms: uncertainty representation in Feedback Rule Based Fuzzy Systems\",\"authors\":\"Joao Paulo Carvalho, J. Tomé\",\"doi\":\"10.1109/NAFIPS.2003.1226762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rule Based Fuzzy Systems with Feedback suffer from the problem of an uncontrolled spread in uncertainty representation due to the intrinsic characteristics of classical fuzzy inference that not even type-2 uncertainty representation can address. This paper proposes a simple solution that allows type-1 uncertainty representation in this systems.\",\"PeriodicalId\":153530,\"journal\":{\"name\":\"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAFIPS.2003.1226762\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.2003.1226762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interpolated linguistic terms: uncertainty representation in Feedback Rule Based Fuzzy Systems
Rule Based Fuzzy Systems with Feedback suffer from the problem of an uncontrolled spread in uncertainty representation due to the intrinsic characteristics of classical fuzzy inference that not even type-2 uncertainty representation can address. This paper proposes a simple solution that allows type-1 uncertainty representation in this systems.
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