An integrated approach of intuitionistic fuzzy fault tree and Bayesian network analysis applicable to risk analysis of ship mooring operations

• Published in: Ocean engineering 2023-02, Vol.269, p.113411, Article 113411
• Main Authors: Kaushik, Manvi, Kumar, Mohit
• Format: Article
• Language: English
• Subjects: Bayesian network; Importance ranking; Improved similarity aggregation method; Intuitionistic fuzzy fault tree analysis; Ship mooring operation
• ISSN: 0029-8018; 1873-5258
• DOI: 10.1016/j.oceaneng.2022.113411

Mooring is a technique to anchor the ship to a fixed or drifting component and make it associated while loading and unloading operations are in process. In the risk assessment of ship mooring operation, it is hard to get the precise failure data of system components. In this study, an integrated intuitionistic fuzzy fault tree and Bayesian network-based method is proposed for system failure probability evaluation in case of imprecise and insufficient failure data. Root causes of the ‘parted rope injury during ship mooring operation’ are obtained using fault tree analysis. The improved similarity aggregation method based intuitionistic fuzzy fault tree analysis is proposed to better deal with uncertainty. To update the failure probabilities for new evidences, the Bayesian network model is constructed. Importance ranking to the basic events of the system fault tree is given using the ‘Fussell–Vesely importance’ measure to identify the contribution of each basic event in system failure. The results demonstrate that the proposed approach is an alternative for probabilistic reliability evaluation when the components’ statistical failure data is not precisely available. This will help decision-makers and operators in taking decisions for preventive and corrective actions in the risk management process. •Development of an integrated approach of intuitionistic fuzzy fault tree and Bayesian network analysis to get updated failure probabilities.•Quantification of subjective data by intuitionistic fuzzy numbers.•Aggregation of different expert’s judgments by using improved similarity aggregation method.•Illustration of developed integrated approach by considering a case study on risk analysis of ship mooring operations.•Identification of critical components of systems.