Preliminary communication
https://doi.org/10.7307/ptt.v25i6.1183
Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System
tanja brcko
; university of ljubljana, faculty of maritime studies and transport
jelenko švetak
; university of ljubljana, faculty of maritime studies and transport
Abstract
Despite the generally high qualifications of seafarers, many maritime accidents are caused by human error; such accidents include capsizing, collision, and fire, and often result in pollution. Enough concern has been generated that researchers around the world have developed the study of the human factor into an independent scientific discipline. A great deal of progress has been made, particularly in the area of artificial intelligence. But since total autonomy is not yet expedient, the decision support systems based on soft computing are proposed to support human navigators and VTS operators in times of crisis as well as during the execution of everyday tasks as a means of reducing risk levels.
This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system. The main goal is to determine the appropriate course of avoidance, using fuzzy reasoning.
Keywords
maritime accidents; collision avoidance; radar plotting; fuzzy logic; decision support system
Hrčak ID:
114437
URI
Publication date:
16.12.2013.
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