On intuitionistic fuzzy laplace transforms for solving intuitionistic fuzzy partial Volterra integro-differential equations

Zineb Belhallaj, M. Elomari, S. Melliani, L. S. Chadli
{"title":"On intuitionistic fuzzy laplace transforms for solving intuitionistic fuzzy partial Volterra integro-differential equations","authors":"Zineb Belhallaj, M. Elomari, S. Melliani, L. S. Chadli","doi":"10.1109/ICOA55659.2022.9934409","DOIUrl":null,"url":null,"abstract":"In this paper, our purpose is to solve the intuitionistic fuzzy convolution Volterra partial integro-differential equation using the intuitionistic fuzzy Laplace transform (FLTM) method under strongly Hukuhara differentiability, the intuitionistic fuzzy convolution operator is proposed and the associated theorem is given which is helpful for solving IFPVIDEs. Finally, the effectiveness and applicability of the presented method is studied with the help of a numerical example.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA55659.2022.9934409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, our purpose is to solve the intuitionistic fuzzy convolution Volterra partial integro-differential equation using the intuitionistic fuzzy Laplace transform (FLTM) method under strongly Hukuhara differentiability, the intuitionistic fuzzy convolution operator is proposed and the associated theorem is given which is helpful for solving IFPVIDEs. Finally, the effectiveness and applicability of the presented method is studied with the help of a numerical example.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求解直觉模糊偏Volterra积分微分方程的直觉模糊拉普拉斯变换
在强Hukuhara可微性条件下,利用直觉模糊拉普拉斯变换(FLTM)方法求解直觉模糊卷积Volterra偏积分微分方程,提出了直觉模糊卷积算子,并给出了有助于求解IFPVIDEs的相关定理。最后,通过数值算例验证了所提方法的有效性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The importance of enterprise resource planning (ERP) in the optimisation of the small and medium enterprise's ressources in Morocco Nonsmooth Optimization for Synaptic Depression Dynamics 6G and V2X Communications: Applications, Features, and Challenges An Optimized Adaptive Learning Approach Based on Cuckoo Search Algorithm Waste solid management using Machine learning approch
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1