The application of grey relational projection to rank and optimize risk control options

Risk control option (RCO) is a critical step for reducing the risk to a acceptable level in Formal Safety Assessment (FSA). Multi-attribute decision methods are introduced to measure quantity of RCOs. In this paper, grey relational methods and weights based on deviation square are combined to rank RCOs. Data information of RCOs on general cargo ships is calculated to select a suitable alternative, whose results show that grey relational methods are simple and practical for selecting of RCOs.