{"title":"积型模糊 Volterra 积分方程的数值解法","authors":"Qin Chen","doi":"10.32622/ijrat.112202301","DOIUrl":null,"url":null,"abstract":"An iterative algorithm is presented for approximating the solution of the product type fuzzy Volterra integral equation. Firstly, the uniqueness of the solution of the original integral equation is proved by using Banach fixed point theorem. Next, the error estimation of the proposed iterative method is achieved. Finally, two numerical examples are given to illustrate the effectiveness of the method","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"54 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Numerical Solution of Product Type Fuzzy Volterra Integral Equation\",\"authors\":\"Qin Chen\",\"doi\":\"10.32622/ijrat.112202301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An iterative algorithm is presented for approximating the solution of the product type fuzzy Volterra integral equation. Firstly, the uniqueness of the solution of the original integral equation is proved by using Banach fixed point theorem. Next, the error estimation of the proposed iterative method is achieved. Finally, two numerical examples are given to illustrate the effectiveness of the method\",\"PeriodicalId\":14303,\"journal\":{\"name\":\"International Journal of Research in Advent Technology\",\"volume\":\"54 8\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Research in Advent Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32622/ijrat.112202301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Research in Advent Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32622/ijrat.112202301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Numerical Solution of Product Type Fuzzy Volterra Integral Equation
An iterative algorithm is presented for approximating the solution of the product type fuzzy Volterra integral equation. Firstly, the uniqueness of the solution of the original integral equation is proved by using Banach fixed point theorem. Next, the error estimation of the proposed iterative method is achieved. Finally, two numerical examples are given to illustrate the effectiveness of the method