Jafari, R orcid.org/0000-0001-7298-2363, Yu, W, Razvarz, S et al. (1 more author) (2021) Numerical methods for solving fuzzy equations: A survey. Fuzzy Sets and Systems, 404. pp. 1-22. ISSN 0165-0114
Abstract
In this paper, we study different numerical methods for solving fuzzy equations, dual fuzzy equations, fuzzy differential equations (FDEs) and fuzzy partial differential equations (PDEs). In this study, conditions that guarantee the existence of the roots of these equations are discussed. Also, this paper provides some discussion about the rates of convergence of each of the numerical methods. Finally, some numerical examples are given to illustrate the efficiency of these methods.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2019 Elsevier B.V. All rights reserved. This is an author produced version of a paper published in Fuzzy Sets and Systems. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Nonlinear systems; Fuzzy number; Fuzzy solution |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Jan 2020 11:45 |
Last Modified: | 08 Nov 2021 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.fss.2019.11.003 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156068 |