{"title":"用分段多项式模糊系统求函数的最优逼近","authors":"S. Nejim","doi":"10.1109/NAFIPS.1999.781681","DOIUrl":null,"url":null,"abstract":"A constructive method for the design of an optimal SISO piecewise polynomial fuzzy system approximating a given real continuous function with arbitrary accuracy is proposed. Three cases are considered according to the definition of optimality. An example is given that illustrates the method and confirms the interest in considering polynomial membership functions.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal approximation of functions using piecewise polynomial fuzzy systems\",\"authors\":\"S. Nejim\",\"doi\":\"10.1109/NAFIPS.1999.781681\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A constructive method for the design of an optimal SISO piecewise polynomial fuzzy system approximating a given real continuous function with arbitrary accuracy is proposed. Three cases are considered according to the definition of optimality. An example is given that illustrates the method and confirms the interest in considering polynomial membership functions.\",\"PeriodicalId\":335957,\"journal\":{\"name\":\"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAFIPS.1999.781681\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.1999.781681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal approximation of functions using piecewise polynomial fuzzy systems
A constructive method for the design of an optimal SISO piecewise polynomial fuzzy system approximating a given real continuous function with arbitrary accuracy is proposed. Three cases are considered according to the definition of optimality. An example is given that illustrates the method and confirms the interest in considering polynomial membership functions.