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An interval type-2 fuzzy SLIM approach to predict human error in maritime transportation

机译：一种间隔Type-2模糊修剪方法，以预测海运中的人为错误

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The human factor is regarded as one of the most significant topics for sustainable maritime transportation since increasing shipping activities can pose potential hazards to human life, the environment, and commodity. The paper aims to assess the potential contribution of human errors in the maritime industry. Hence, Success Likelihood Index Method (SLIM) was employed by incorporating interval type-2 fuzzy sets (IT2FSs). While SLIM systematically estimates human error probability (HEP) for the designated task, IT2FS deals with subjectivity in the process of using experts' judgements. A loading operation onboard containership was investigated due to its considerable risks for the marine environment. Safety culture, experience, fatigue, and time limitation were observed as highly effective on crew performance. The obtained results indicate that the IT2FS-SLIM approach can effectively be applied for determining the vulnerabilities and critical human errors in the operational process. The paper is also intended to enhance safety control levels and minimize potential errors in maritime transportation.
机译：人为因素被认为是可持续海上运输最重要的主题之一，因为越来越多的航运活动可能对人类生命，环境和商品构成潜在的危害。本文旨在评估海事行业人类错误的潜在贡献。因此，通过结合间隔类型-2模糊集（IT2FSS）来使用成功似然索引方法（SLIM）。虽然Slim系统地估计了指定任务的人为错误概率（HEP），但IT2FS在使用专家判断过程中涉及主观性。由于海洋环境的巨大风险，调查了装载运行。观察到安全文化，经验，疲劳和时间限制对船员的性能非常有效。所获得的结果表明IT2FS-SLIM方法可以有效地应用于确定操作过程中的漏洞和临界人类错误。本文还旨在增强安全控制水平，并最大限度地减少海运中的潜在误差。

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