Applications of Z-numbers and neural networks in engineering

Raheleh Jafari; Sina Razvarz; Alexander Gegov

doi:10.1007/978-3-030-52243-8_2

Applications of Z-numbers and neural networks in engineering

Raheleh Jafari^*, Sina Razvarz, Alexander Gegov

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

Original language	English
Title of host publication	Intelligent Computing. SAI 2020.
Editors	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Publisher	Springer
Pages	12-25
Number of pages	14
ISBN (Electronic)	978-3-030-52243-8
ISBN (Print)	978-3-030-52242-1
DOIs	https://doi.org/10.1007/978-3-030-52243-8_2
Publication status	Published - 4 Jul 2020
Event	Science and Information Conference - London, United Kingdom Duration: 16 Jul 2020 → 17 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1230 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	Science and Information Conference
Abbreviated title	SAI 2020
Country/Territory	United Kingdom
City	London
Period	16/07/20 → 17/07/20

Keywords

Artificial intelligence
Fuzzy logic
Neural network
Z-number

Access to Document

10.1007/978-3-030-52243-8_2

SAI20
This is a post-peer-review, pre-copyedit version of an article published in Arai K., Kapoor S., Bhatia R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1230. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-52243-8_2.
Accepted author manuscript (Post-print), 886 KB

Cite this

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title = "Applications of Z-numbers and neural networks in engineering",

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.",

keywords = "Artificial intelligence, Fuzzy logic, Neural network, Z-number",

author = "Raheleh Jafari and Sina Razvarz and Alexander Gegov",

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doi = "10.1007/978-3-030-52243-8_2",

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pages = "12--25",

editor = "Kohei Arai and Supriya Kapoor and Rahul Bhatia",

booktitle = "Intelligent Computing. SAI 2020.",

note = "Science and Information Conference, SAI 2020 ; Conference date: 16-07-2020 Through 17-07-2020",

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Jafari, R, Razvarz, S & Gegov, A 2020, Applications of Z-numbers and neural networks in engineering. in K Arai, S Kapoor & R Bhatia (eds), Intelligent Computing. SAI 2020.. Advances in Intelligent Systems and Computing, vol. 1230 AISC, Springer, pp. 12-25, Science and Information Conference, London, United Kingdom, 16/07/20. https://doi.org/10.1007/978-3-030-52243-8_2

Applications of Z-numbers and neural networks in engineering. / Jafari, Raheleh; Razvarz, Sina; Gegov, Alexander.
Intelligent Computing. SAI 2020.. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Springer, 2020. p. 12-25 (Advances in Intelligent Systems and Computing; Vol. 1230 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Applications of Z-numbers and neural networks in engineering

Abstract

Publication series

Conference

Keywords

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