A Prototype of Marine Search and Rescue Simulator

Xiuwen, Liu; Fangbing, Xu; Yicheng, Jin

doi:10.1109/itcs.2009.291

Cited by 3 publications

(1 citation statement)

References 5 publications

(2 reference statements)

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“…Faults in complex systems caused by the human factor are categorized by determining the category of human error [11]. Studies have shown that maritime incidents are a random occurrence with a low probability, the outcome of which can be predicted by the prediction model [12] or the probability of a human error can be predicted by analysis using the Researches have demonstrated human factor dependence in various distress situations such as collisions [14], listing [15] or fire [16]. The methodology of a hybrid multi-criteria approach to decision making can be used to investigate maritime incidents resulting from human error [17].…”

Section: Previous Researchmentioning

confidence: 99%

Decision Making Example for On-Board Distress Situation Based on Agents

Sumić¹,

Rosić²,

Škorput³

2018

Proceedings of the 29th International DAAAM Symposium 2018

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There is a high risk of accidents onboard ships despite the implementation of technologically advanced subsystems whose basic function is protecting people and reducing material damage. Research of human error analysis indicate that human factor substitution with program agents can achieve significant improvements in decision-making processes in distress ship situations. This research will carry out a functional analysis of ship's distress situations and analysis of available agent technologies. By means of analyses input indicators will be identified according to which appropriate types of program agents will be selected. According to the preselected agent technology, a decision model will be developed in the selected class of distress ship's situations.

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