A Fuzzy Logic-Based Model for Evaluating Grounding Risk of Inland River Ships

Grounding is the main type of accidents in inland river water traffic. Based on the statistics data of water traffic accidents, this research carries out the cause analysis of Grounding accidents, and builds the risk warning model of ship Grounding accidents. The early warning indicators of grounding accidents include visibility, excess water depth, wind force and ship deviation from the channel. On the basis of this, the weights of early warning indicators affecting accident risk are determined by analytic hierarchy process, and the early warning risk levels are divided into three levels: low risk, medium risk and high risk by triangular fuzzy number. The scientificity and applicability of the proposed model are verified by the case study on ships in Yueyang area of Yangtze River.