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    Deep-Sea Accident Risk Posture Assessment Based on a Variable-Weighted Five-Element Connection Number

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 002::page 04024026-1
    Author:
    Hao Jin
    ,
    Jian Kang
    ,
    Zhixing Wang
    ,
    Jiwu Wang
    ,
    Wei Cao
    DOI: 10.1061/AJRUA6.RUENG-1168
    Publisher: ASCE
    Abstract: The operation risks for deep-sea oil spill recovery are characterized by their multiplicity, fuzziness, and dynamic nature. To more properly and comprehensively assess the operational risks for deep-sea oil spill recovery, an assessment method has been proposed on the basis of combinatorial weighting and multi-element connection number. A full-domain risk assessment index system was built, which consists of four dimensions, namely personnel, equipment, management, and environment, and the combinatorial weighting was performed for the subjective and objective assessment indexes via the rough set improved analytical hierarchy process (AHP) and entropy method, respectively. Furthermore, in accordance with the set pair theory, the risk trend assessment model, built upon the multi-element connection number, was developed to comprehensively illustrate the current state of safety control and the developmental trajectory of these risk factors. Finally, a case study of oil spill recovery operations was carried out. Compared with the conventional methods, the proposed method delivers index weights more consistent with the actual situation, due to the applications of combinatorial weighting based on the improved AHP and entropy methods, as well as the multi-element connection number. The analysis showed that this method can deliver a thorough, scientific, and systematic assessment of the status quo. Therefore, the trend of risks and targeted management measures for key risk factors can be obtained.
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      Deep-Sea Accident Risk Posture Assessment Based on a Variable-Weighted Five-Element Connection Number

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    contributor authorHao Jin
    contributor authorJian Kang
    contributor authorZhixing Wang
    contributor authorJiwu Wang
    contributor authorWei Cao
    date accessioned2024-04-27T22:40:04Z
    date available2024-04-27T22:40:04Z
    date issued2024/06/01
    identifier other10.1061-AJRUA6.RUENG-1168.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4297211
    description abstractThe operation risks for deep-sea oil spill recovery are characterized by their multiplicity, fuzziness, and dynamic nature. To more properly and comprehensively assess the operational risks for deep-sea oil spill recovery, an assessment method has been proposed on the basis of combinatorial weighting and multi-element connection number. A full-domain risk assessment index system was built, which consists of four dimensions, namely personnel, equipment, management, and environment, and the combinatorial weighting was performed for the subjective and objective assessment indexes via the rough set improved analytical hierarchy process (AHP) and entropy method, respectively. Furthermore, in accordance with the set pair theory, the risk trend assessment model, built upon the multi-element connection number, was developed to comprehensively illustrate the current state of safety control and the developmental trajectory of these risk factors. Finally, a case study of oil spill recovery operations was carried out. Compared with the conventional methods, the proposed method delivers index weights more consistent with the actual situation, due to the applications of combinatorial weighting based on the improved AHP and entropy methods, as well as the multi-element connection number. The analysis showed that this method can deliver a thorough, scientific, and systematic assessment of the status quo. Therefore, the trend of risks and targeted management measures for key risk factors can be obtained.
    publisherASCE
    titleDeep-Sea Accident Risk Posture Assessment Based on a Variable-Weighted Five-Element Connection Number
    typeJournal Article
    journal volume10
    journal issue2
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1168
    journal fristpage04024026-1
    journal lastpage04024026-11
    page11
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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