{"title":"用lu参数表示求解广义可微模糊微分方程","authors":"B. Bede, Luciano Stefanini","doi":"10.2991/eusflat.2011.106","DOIUrl":null,"url":null,"abstract":"The paper uses the LU-parametric representation of fuzzy numbers and fuzzy-valued functions, to obtain valid approxi- mations of fuzzy generalized derivative and to solve fuzzy differential equations. The main result is that a fuzzy differential initial-value problem can be translated into a system of innitely many ordinary differential equations and, by the LU-parametric representation, the innitely many equations can be approximated efciently by anite set of four ODEs. Some examples are included.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":"{\"title\":\"Solution of Fuzzy Differential Equations with generalized differentiability using LU-parametric representation\",\"authors\":\"B. Bede, Luciano Stefanini\",\"doi\":\"10.2991/eusflat.2011.106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper uses the LU-parametric representation of fuzzy numbers and fuzzy-valued functions, to obtain valid approxi- mations of fuzzy generalized derivative and to solve fuzzy differential equations. The main result is that a fuzzy differential initial-value problem can be translated into a system of innitely many ordinary differential equations and, by the LU-parametric representation, the innitely many equations can be approximated efciently by anite set of four ODEs. Some examples are included.\",\"PeriodicalId\":403191,\"journal\":{\"name\":\"EUSFLAT Conf.\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EUSFLAT Conf.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/eusflat.2011.106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EUSFLAT Conf.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/eusflat.2011.106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solution of Fuzzy Differential Equations with generalized differentiability using LU-parametric representation
The paper uses the LU-parametric representation of fuzzy numbers and fuzzy-valued functions, to obtain valid approxi- mations of fuzzy generalized derivative and to solve fuzzy differential equations. The main result is that a fuzzy differential initial-value problem can be translated into a system of innitely many ordinary differential equations and, by the LU-parametric representation, the innitely many equations can be approximated efciently by anite set of four ODEs. Some examples are included.