The risk prioritization process is one of the most crucial steps for risk evaluation of potential hazards. The Fine-Kinney method has been commonly applied to controll risks in practice, while the classical Fine-Kinney has limitations in the determination of important degrees of risk parameters. In addition, current risk prioritization approaches for Fine-Kinney overlook the bounded rational behavior of expert within the uncertain context, especially, the high uncertain environment. The purpose of this paper is to develop a hybrid risk prioritization approach for Fine-Kinney by using generalized TODIM (an acronym in Portuguese of interactive and multi-criteria decision making), best-worst, and the interval type-2 fuzzy set. First, the linguistic terms and interval type-2 fuzzy numbers are adopted to handle the expression problem of the team members’ uncertain evaluation information. Second, in order to obtain the objective weights of risk parameters, the best-worst method is proposed to determine the relative importance degrees of risk parameters. Third, the interval type-2 fuzzy numbers are incorporated into the generalized TODIM method to determine the risk priority orders of hazards, which can simulate the experts’ bounded rational behavior under uncertain environment. Finally, a practical risk analysis example of ballast tank maintenance and the sensitivity and comparison analysis is presented to demonstrate the application of the proposed Fine-Kinney framework. The sensitivity analysis and comparison are employed to validate the reliability of the new risk prioritization model.

风险优先级排序过程是对潜在危害进行风险评估的最关键步骤之一。在实践中，Fine-Kinney方法通常用于控制风险，而经典的Fine-Kinney方法在确定重要程度的风险参数方面存在局限性。此外，当前的细金鱼风险优先级排序方法在不确定的环境下，尤其是在高度不确定的环境下，会忽略专家的有限理性行为。本文的目的是通过使用广义TODIM（交互式和多准则决策的葡萄牙语缩写），最差和区间2型模糊集，为Fine-Kinney开发一种混合风险优先级方法。第一，采用语言术语和区间2型模糊数来处理团队成员不确定性评价信息的表达问题。其次，为了获得风险参数的客观权重，提出了最坏方法来确定风险参数的相对重要性程度。第三，将区间2型模糊数引入到广义TODIM方法中，确定危害的风险优先顺序，可以模拟专家在不确定环境下的有限理性行为。最后，给出了压载舱维护的实际风险分析示例以及敏感性和比较分析，以证明拟议的Fine-Kinney框架的应用。