In view of the complex environment in which risk analysis of ship accidents is carried out, and the uncertainty and ambiguity of experts’ judgements in risk analysis, this paper proposes a risk analysis method based on intuitionistic fuzzy linguistic set and D-S evidence theory. Intuitionistic fuzzy entropy is applied to determine the weight of each criterion, and then the risk value of m for each attribute is aggregated based on D-S evidence theory. In terms of expert information aggregation, expert weights are firstly obtained based on evidence distance and fuzzy entropy, and then experts’ judgements for attributes are merged via D-S theory to yield the risk ranking of each attribute. Finally, a cruise ship collision scenario is provided as a case to verify the rationality and effectiveness of the proposed method. The result validates that D-S evidence theory is an efficient tool for ship risk analysis.
|Name||Communications in Computer and Information Science|
|Conference||Neural Computing for Advanced Applications|
|Abbreviated title||NCAA 2021|
|Period||27/08/21 → 30/08/21|