Prediction of human–machine interface (HMI) operational errors for maritime autonomous surface ships (MASS)

نویسندگان

چکیده

The human factor is a hot topic for the maritime industry since more than 80 percent of accidents are due to error. Minimizing error contributions in transportation vital enhance safety levels. At this point, autonomous surface ships (MASS) concept has become one most significant aspects minimize errors. objective research predict human–machine interface (HMI)-based operational errors improve control interaction between shore-based operator and controlling system (cockpits) can be monitored potential HMI predicted. This utilizes Success Likelihood Index Method (SLIM) under an interval type-2 fuzzy sets (IT2FSs) approach. While SLIM provides prediction (HMI) errors, IT2FSs tackles uncertainty vagueness decision-making process. findings paper expected highlight importance not only designers but also aspects.

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ژورنال

عنوان ژورنال: Journal of marine science and technology

سال: 2021

ISSN: ['2709-6998', '1023-2796']

DOI: https://doi.org/10.1007/s00773-021-00834-w