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A Hybrid Approach to Risk Analysis for Critical Failures of Machinery Spaces on Unmanned Ships by Fuzzy AHP

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Neural Computing for Advanced Applications (NCAA 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1449))

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Abstract

This paper proposes a fuzzy evaluation approach that combines fuzzy AHP and fuzzy synthetic evaluation to conduct risk analysis of unmanned ships. In our proposal, a hierarchy of key failures of machinery spaces onboard unmanned ships is constructed based on a literature review and expert consultation. Experts are also invited to contribute their judgement on pairwise comparison of failures in the hierarchy and to evaluate the occurrence of each failure on the lowest tier of the hierarchy so that the Frequency Index of hazards can be obtained by fuzzy synthetic evaluation. In mapping experts’ uncertainty in making their judgements, Z-numbers are introduced to depict experts’ reliability in doing pairwise comparison. Finally, three critical failures of machinery spaces onboard ships are rated as higher levels of risk, and thus four risk control options are put forward to reduce the frequency of failure occurrences.

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Author information

Authors and Affiliations

  1. Navigation College, Dalian Maritime University, Dalian, 116026, China

    Junzhong Bao, Zhijie Bian, Zixuan Yu & Yuanzi Zhou

  2. Faculty of Maritime Studies, Kasetsart University, Si Racha, Chonburi, 20230, Thailand

    Thammawan Phanphichit

  3. Marine Engineering College, Dalian Maritime University, Dalian, 116026, China

    Guoyou Wang

Authors
  1. Junzhong Bao
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  2. Zhijie Bian
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  3. Zixuan Yu
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  4. Thammawan Phanphichit
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  5. Guoyou Wang
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  6. Yuanzi Zhou
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Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  2. Nanfang College of Sun Yat-sen University, Guangzhou, China

    Zhi Yang

  3. Hefei University of Technology, Hefei, China

    Zhao Zhang

  4. Chongqing University, Chongqing, China

    Zhou Wu

  5. South China Normal University, Guangzhou, China

    Tianyong Hao

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Bao, J., Bian, Z., Yu, Z., Phanphichit, T., Wang, G., Zhou, Y. (2021). A Hybrid Approach to Risk Analysis for Critical Failures of Machinery Spaces on Unmanned Ships by Fuzzy AHP. In: Zhang, H., Yang, Z., Zhang, Z., Wu, Z., Hao, T. (eds) Neural Computing for Advanced Applications. NCAA 2021. Communications in Computer and Information Science, vol 1449. Springer, Singapore. https://doi.org/10.1007/978-981-16-5188-5_20

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  • DOI: https://doi.org/10.1007/978-981-16-5188-5_20

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  • Print ISBN: 978-981-16-5187-8

  • Online ISBN: 978-981-16-5188-5

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