Jafari, R orcid.org/0000-0001-7298-2363, Razvarz, S, Gegov, A et al. (1 more author) (2018) Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers. In: Advances in Computational Intelligence Systems. UKCI-2018, 05-07 Sep 2018, Nottingham, UK. Springer Verlag , pp. 96-107. ISBN 9783319979816
Abstract
In this paper, the uncertainty property is represented by Z-number as the coefficients and variables of the fuzzy equation. This modification for the fuzzy equation is suitable for nonlinear system modeling with uncertain parameters. Here, we use fuzzy equations as the models for the uncertain nonlinear systems. The modeling of the uncertain nonlinear systems is to find the coefficients of the fuzzy equation. However, it is very difficult to obtain Z-number coefficients of the fuzzy equations.
Taking into consideration the modeling case at par with uncertain nonlinear systems, the implementation of neural network technique is contributed in the complex way of dealing the appropriate coefficients of the fuzzy equations. We use the neural network method to approximate Z-number coefficients of the fuzzy equations.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Nature Switzerland AG 2019. This is an author produced version of a conference paper published in Advances in Computational Intelligence Systems. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Computational intelligence; Knowledge Representation; Fuzzy Logic; Fuzzy Systems; Cognitive Computing; Approximate Reasoning; Machine Learning Methodologies; Artificial Neural Networks; Evolutionary Computation; Swarm Intelligence; Artificial Immune Systems; Memetic Computing; Nature-inspired Computing; Software Agents and Multi-agent Systems; Intelligent Control; Intelligent Video Analytics; Applications of Computational Intelligence |
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: | 26 Oct 2020 14:36 |
Last Modified: | 26 Oct 2020 14:36 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/978-3-319-97982-3_8 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:167154 |