Jafari, R orcid.org/0000-0001-7298-2363, Razvarz, S, Gegov, A et al. (1 more author) (2020) Modeling of Uncertain Nonlinear System with Z-numbers. In: Encyclopedia of Information Science and Technology, Fifth Edition. IGI Global , pp. 290-314.
Abstract
In order to model the fuzzy nonlinear systems, fuzzy equations with Z-number coefficients are used in this chapter. The modeling of fuzzy nonlinear systems is to obtain the Z-number coefficients of fuzzy equations. In this work, the neural network approach is used for finding the coefficients of fuzzy equations. Some examples with applications in mechanics are given. The simulation results demonstrate that the proposed neural network is effective for obtaining the Z-number coefficients of fuzzy equations.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Dates: |
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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: | 28 Jun 2021 07:57 |
Last Modified: | 28 Jun 2021 07:57 |
Status: | Published |
Publisher: | IGI Global |
Identification Number: | 10.4018/978-1-7998-3479-3.ch022 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:167159 |