A Hybrid Fuzzy System Dynamics Approach for Risk Analysis of AUV Operations Article Swipe
Tzu Yang Loh
,
Mario Brito
,
Neil Bose
,
Jingjing Xu
,
Natalia Nikolova
,
Kiril Tenekedjiev
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.20965/jaciii.2020.p0026
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.20965/jaciii.2020.p0026
The maturing of autonomous technology has fostered a rapid expansion in the use of Autonomous Underwater Vehicles (AUVs). To prevent the loss of AUVs during deployments, existing risk analysis approaches tend to focus on technicalities, historical data and experts’ opinion for probability quantification. However, data may not always be available and the complex interrelationships between risk factors are often neglected due to uncertainties. To overcome these shortfalls, a hybrid fuzzy system dynamics risk analysis ( FuSDRA ) is proposed. The approach utilises the strengths while overcoming limitations of both system dynamics and fuzzy set theory. Presented as a three-step iterative framework, the approach was applied on a case study to examine the impact of crew operating experience on the risk of AUV loss. Results showed not only that initial experience of the team affects the risk of loss, but any loss of experience in earlier stages of the AUV program have a lesser impact as compared to later stages. A series of risk control policies were recommended based on the results. The case study demonstrated how the FuSDRA approach can be applied to inform human resource and risk management strategies, or broader application within the AUV domain and other complex technological systems.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.20965/jaciii.2020.p0026
- OA Status
- diamond
- Cited By
- 5
- References
- 41
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W2999081193Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20965/jaciii.2020.p0026Digital Object Identifier
- Title
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A Hybrid Fuzzy System Dynamics Approach for Risk Analysis of AUV OperationsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-01-19Full publication date if available
- Authors
-
Tzu Yang Loh, Mario Brito, Neil Bose, Jingjing Xu, Natalia Nikolova, Kiril TenekedjievList of authors in order
- Landing page
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https://doi.org/10.20965/jaciii.2020.p0026Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.20965/jaciii.2020.p0026Direct OA link when available
- Concepts
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Computer science, Risk analysis (engineering), Fuzzy logic, Domain (mathematical analysis), System dynamics, Risk management, Fuzzy set, Operational risk, Operations research, Artificial intelligence, Engineering, Economics, Medicine, Mathematics, Mathematical analysis, ManagementTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 2, 2021: 1Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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