{"title":"一类和二类模糊逻辑系统的分析","authors":"Dongming Wang, L. Acar","doi":"10.1109/ISIC.1999.796680","DOIUrl":null,"url":null,"abstract":"This document introduces the concept of type-2 fuzzy sets and compares the type-2 fuzzy set preliminaries with the ordinary type-1 fuzzy set. Two theorems are proved: the first one helps to generate the general form of the type-2 operations, the second provides an approach to transfer the type-1 fuzzy uncertainties to the type-2 system.","PeriodicalId":300130,"journal":{"name":"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"An analysis of type-1 and type-2 fuzzy logic systems\",\"authors\":\"Dongming Wang, L. Acar\",\"doi\":\"10.1109/ISIC.1999.796680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This document introduces the concept of type-2 fuzzy sets and compares the type-2 fuzzy set preliminaries with the ordinary type-1 fuzzy set. Two theorems are proved: the first one helps to generate the general form of the type-2 operations, the second provides an approach to transfer the type-1 fuzzy uncertainties to the type-2 system.\",\"PeriodicalId\":300130,\"journal\":{\"name\":\"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1999.796680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1999.796680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An analysis of type-1 and type-2 fuzzy logic systems
This document introduces the concept of type-2 fuzzy sets and compares the type-2 fuzzy set preliminaries with the ordinary type-1 fuzzy set. Two theorems are proved: the first one helps to generate the general form of the type-2 operations, the second provides an approach to transfer the type-1 fuzzy uncertainties to the type-2 system.