Case based reasoning system based risk context awareness in the digital marine vessels

It is necessary to implementation of system contain intelligent decision making algorithm considering marine feature because existing vessel USN system is simply monitoring obtained data from vessel USN. In this paper, we designed inference system using case based reasoning method and implemented knowledge base that case for fire and damage risk of digital marine vessel. We used K-Nearest Neighbor algorithm for recommend best similar case and input 3.000 EA by case for fire and damage risk context case base. As a result, we obtained about 82.5% average accuracy for fire risk case and about 80.1% average accuracy for damage risk case. We implemented digital marine vessel monitoring system using reasoning result.