Jafari, R orcid.org/0000-0001-7298-2363, Razvarz, S and Gegov, A (2020) Applications of Z-Numbers and Neural Networks in Engineering. In: Advances in Intelligent Systems and Computing. SAI 2020 Computing Conference, 16-17 Jul 2020, Online. Springer Verlag , pp. 12-25. ISBN 978-3-030-52242-1
Abstract
In the real world, much of the information on which decisions are based is vague, imprecise and incomplete. Artificial intelligence techniques can deal with extensive uncertainties. Currently, various types of artificial intelligence technologies, like fuzzy logic and artificial neural network are broadly utilized in the engineering field. In this paper, the combined Z-number and neural network techniques are studied. Furthermore, the applications of Z-numbers and neural networks in engineering are introduced.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Nature Switzerland AG 2020. This is an author produced version of an article published in Advances in Intelligent Systems and Computing. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Artificial intelligence; Fuzzy logic; Z-number; Neural network |
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: | 27 Jan 2020 10:43 |
Last Modified: | 04 Jul 2021 00:38 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/978-3-030-52243-8_2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156091 |