Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Liu, Shaohuaa; b | Xia, Caichua; b; * | Ye, Juna
Affiliations: [a] Institute of Rock Mechanics, Ningbo University, Ningbo, Zhejiang, China | [b] Ningbo Key Laboratory of Energy Geostructure, Ningbo, Zhejiang, China
Correspondence: [*] Corresponding author. Caichu Xia. E-mail: [email protected].
Abstract: In large-section tunnel engineering, there is uncertain and inconsistent information in risk factors, due to complex geological, irregular hydrological conditions, limited survey technology, and inexperience of construction technicians. However, it is difficult for existing risk assessment methods to consider and express this uncertain information comprehensively, which will affect the accuracy of tunnel risk assessment. Hence, this paper develops a method of neutrosophic numbers similarity measure based on arcsine function to address the expression of uncertain information in the risk factors of large-section tunnel. The uncertain information in risk factors is considered comprehensively and the comprehensive weight of tunnel risk factors is calculated by the analytic hierarchy process and the entropy weight method in this method, in order to provide a reference for similar tunnels.
Keywords: Large-section tunnel, risk assessment, neutrosophic numbers, similarity measure, arcsine function
DOI: 10.3233/JIFS-231475
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 6, pp. 9335-9345, 2023
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]