Floating Production, Storage and Offtake (FPSO) is one of the key components of offshore oil development and the single point mooring system is the key technology affecting the safety of the FPSO. Therefore, risk analysis is useful in preventing the failure of the FPSO single point mooring system. However, traditional techniques fall short in terms of quantitative assessment, dynamic control, and handling uncertainty. This study provides a risk analysis approach that can be used to assess the FPSO single point mooring system safety risk. The Bayesian Network and interval type-2 fuzzy sets are used to overcome the difficulties in gathering and evaluating the data required for the calculation of the FPSO single point mooring system safety hazards. The proposed approach allows for the identification of the primary underlying causes of these occurrences. The effectiveness of the proposed methods for risk analysis of FPSO single point mooring systems is proved using a case study. According to the findings, it is believed that this study could be useful in providing a thorough and all-encompassing evaluation of the safety risk in multi-process systems and in suggesting a strategic strategy for reducing the FPSO single point mooring system safety hazards.

浮式生产储油卸油装置（FPSO）是海上石油开发的关键部件之一，单点系泊系统是影响FPSO安全的关键技术。因此，风险分析对于防止FPSO单点系泊系统失效是很有用的。然而，传统技术在定量评估、动态控制和处理不确定性方面存在不足。本研究提供了一种风险分析方法，可用于评估FPSO单点系泊系统的安全风险。利用贝叶斯网络和区间2型模糊集，克服了FPSO单点系泊系统安全隐患计算所需数据采集和评估的困难。拟议的方法允许识别这些事件的主要根本原因。通过案例研究证明了所提出的 FPSO 单点系泊系统风险分析方法的有效性。根据调查结果，相信这项研究可能有助于对多过程系统中的安全风险进行全面和全面的评估，并提出减少 FPSO 单点系泊系统安全隐患的战略策略。