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http://dx.doi.org/10.5391/JKIIS.2017.27.2.113

Design of the Neuro-Fuzzy based System for Analyzing Collision Avoidance Measures of Ships  

Yi, Mira (Department of Computer Engineering, Mokpo Nat. Maritime University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.27, no.2, 2017 , pp. 113-118 More about this Journal
Abstract
Various studies on the method of ship collision risk assessment for alarm have been reported constantly, and the result of the studies is applied to navigation devices. However, it is known that navigators ignore or turn off frequent alarms from the devices of predicting collision risk, because they may avoid collisions in the most of situations. In oder to make the prediction of ship collision risk more useful, it is necessary to consider the customary actions of ship collision avoidance. This paper proposes a system of analyzing collision avoidance measures of ships according to the types of encounter and managing the avoidance history of each ship. The core module of the system is designed as a neuro-fuzzy based inference system, and the test of the module validates the proposed system.
Keywords
Ship Collision Avoidance; Collision Avoidance Analysis; Avoidance History Management; Neuro-Fuzzy;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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