An improved normal wiggly hesitant fuzzy FMEA model and its application to risk assessment of electric bus systems-Reference-Cited by-同舟云学术

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An improved normal wiggly hesitant fuzzy FMEA model and its application to risk assessment of electric bus systems

Published:2024-04 Issue:8 Volume:54 Page:6213-6237
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhang Pei,Zhang Zhenji,Gong Daqing

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Humanities and Social Science Fund of Ministry of Education of China

China Railway

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10489-024-05458-2.pdf

Reference65 articles.

1. Manzolli JA, Trovão JP, Antunes CH (2022) A review of electric bus vehicles research topics -Methods and trends. Renew Sust Energ Rev 159:112211. https://doi.org/10.1016/j.rser.2022.112211

2. Martínez-Maldonado V, Barragán-Escandón A, Serrano-Guerrero X, Zalamea-Leon EF (2023) Optimal routing for mass transit systems using multicriteria methodologies. Energy Strateg Rev 47:101077. https://doi.org/10.1016/j.esr.2023.101077

3. Luo X, Fan W (2023) Joint design of electric bus transit service and wireless charging facilities. Transp Res E Logist Transp Rev 174:103114. https://doi.org/10.1016/j.tre.2023.103114

4. Wang G, Fang Z, Xie X et al (2021) Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses. Acm T Intel Syst Tec 12:1–26. https://doi.org/10.1145/3428080

5. Thorne RJ, Hovi IB, Figenbaum E et al (2021) Facilitating adoption of electric buses through policy: Learnings from a trial in Norway. Energy Policy 155:112310. https://doi.org/10.1016/j.enpol.2021.112310

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