Port State Control (PSC), implemented by the port state authority, is an inspection regime to examine visiting foreign ships and detain substandard vessels. Many studies have explored the factors affecting ship detention to improve the effectiveness and efficiency of PSC inspection. However, these studies rarely consider the psychological behavior of decision-makers and the uncertainty of PSC inspection results. Therefore, this study aims to construct a comprehensive analysis framework to identify the critical deficiencies affecting ship detention decisions by combining the cloud model, criteria interaction through the inter-criteria correlation (CRITIC) method, and prospect theory. Specifically, the cloud model is utilized to deal with the uncertainty of PSC inspection results. Then the CRITIC method is applied to determine the weight of deficiency categories for describing the interdependent relationship among different deficiencies, and the prospect theory is introduced to reflect the psychological behavior of the decision-makers. Finally, we utilize the presented framework to analyze the PSC inspection data in the Tokyo Memorandum of Understanding (MoU) and Paris MoU to discern the crucial deficiencies impacting ship detention. The findings of this study provide a reference for port authorities to improve the ship inspection procedure while supporting shipowners selectively maintain ships to maximize cost-effectiveness. • We proposed a hybrid appraisal model identifying the crucial deficiency categories. • The psychological behavior of decision-makers is considered in the presented model. • The cloud model theory is used to handle the uncertainty of PSC inspection data. • The inter-dependency among deficiency categories is depicted by the CRITIC method.
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