{"title":"模糊微分方程的龙格-库塔法数值解","authors":"S. Abbasbandy, T. Viranloo","doi":"10.3390/MCA7010041","DOIUrl":null,"url":null,"abstract":"In this paper numerical algorithms for solving 'fuzzy ordinary differential equations' based on Sikkala's derivative of fuzzy process [9], are considered. A numerical method based on the Runge-Kutta method of order 4 in detail is discussed and this is followed by a complete error analysis. The algorithm is illustrated by solving some linear and nonlinear fuzzy Cauchy problems.","PeriodicalId":38616,"journal":{"name":"Nonlinear Studies","volume":"11 1","pages":"117-129"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3390/MCA7010041","citationCount":"122","resultStr":"{\"title\":\"Numerical Solution of Fuzzy Differential Equation by Runge-Kutta Method\",\"authors\":\"S. Abbasbandy, T. Viranloo\",\"doi\":\"10.3390/MCA7010041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper numerical algorithms for solving 'fuzzy ordinary differential equations' based on Sikkala's derivative of fuzzy process [9], are considered. A numerical method based on the Runge-Kutta method of order 4 in detail is discussed and this is followed by a complete error analysis. The algorithm is illustrated by solving some linear and nonlinear fuzzy Cauchy problems.\",\"PeriodicalId\":38616,\"journal\":{\"name\":\"Nonlinear Studies\",\"volume\":\"11 1\",\"pages\":\"117-129\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3390/MCA7010041\",\"citationCount\":\"122\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nonlinear Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/MCA7010041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/MCA7010041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
Numerical Solution of Fuzzy Differential Equation by Runge-Kutta Method
In this paper numerical algorithms for solving 'fuzzy ordinary differential equations' based on Sikkala's derivative of fuzzy process [9], are considered. A numerical method based on the Runge-Kutta method of order 4 in detail is discussed and this is followed by a complete error analysis. The algorithm is illustrated by solving some linear and nonlinear fuzzy Cauchy problems.