Building an intelligent supporting system for safe navigation using fuzzy theory

The recent rise in maritime traffic volume, resulted from an increase in international marine trading volumes and the growing popularity of marine leisure activities, has increased the frequency of marine accidents. The majority of maritime accidents are caused by humans account, and a diversity of assistance systems that can assist officers including the technologies for detecting abnormal navigating ships have been proposed to reduce maritime accidents caused by human factors. However, as previous collision risk assessment methods only take into account collision risks at a single point in time, there may be high-risk vessels regarded "not risky" due to erroneous data generated from malfunctioning devices. In this paper, we proposed a new collision risk assessment systems, systems for identifying abnormal navigating ship, and cumulative collision risk assessment systems using fuzzy theory, where such systems are integrated in a single system.