{"title":"A New Method for Solving Fuzzy Bernoulli Differential Equation","authors":"F. Babakordi, T. Allahviranloo","doi":"10.30495/JME.V0I0.1704","DOIUrl":null,"url":null,"abstract":"Abstract In this paper, the solution of fuzzy Bernoulli differential equation (FBDE) of the form u'(t)+p(t) u(t)=q(t) u^n(t), u(0)=u0, is investigated in which p(t) and q(t) are real continues functions, u(t)=(x(t),y(t),z(t)) is LR fuzzy function, u0 is LR fuzzy number . First, n th power of LR fuzzy number is defined then using generalized Hukuhara difference and differentiability, [i.gH]-differentiability and [ii.gH]-differentiability are described. Thereafter, by solving 1-cut FBDE, determining the sign of x(t), p(t), q(t) and defining a theorem, u(t) as a LR fuzzy function is calculated. Finally, numerical examples verify the effectiveness of the proposed method.","PeriodicalId":43745,"journal":{"name":"Journal of Mathematical Extension","volume":" ","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2021-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Extension","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30495/JME.V0I0.1704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 3
Abstract
Abstract In this paper, the solution of fuzzy Bernoulli differential equation (FBDE) of the form u'(t)+p(t) u(t)=q(t) u^n(t), u(0)=u0, is investigated in which p(t) and q(t) are real continues functions, u(t)=(x(t),y(t),z(t)) is LR fuzzy function, u0 is LR fuzzy number . First, n th power of LR fuzzy number is defined then using generalized Hukuhara difference and differentiability, [i.gH]-differentiability and [ii.gH]-differentiability are described. Thereafter, by solving 1-cut FBDE, determining the sign of x(t), p(t), q(t) and defining a theorem, u(t) as a LR fuzzy function is calculated. Finally, numerical examples verify the effectiveness of the proposed method.