Developing an effective fuzzy logic model for managing risks in marine oil transport

Li, Yi–Zhou; Hu, Hao; Huang, Daozheng

doi:10.1504/ijstl.2013.055286

Cited by 7 publications

(1 citation statement)

References 14 publications

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“…Huang et al applied a fuzzy technique to assess the risk of maritime passages (18). Li et al improved the fuzzy logic model to satisfy the need to update changing hazard factors (19,20). However, with the normalization of databases and the accumulation of data, the DST can provide more reliable solutions in the field of data fusion.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Fusion of Maritime Incident Databases with Dempster–Shafer Theory

Huang

2014

Transportation Research Record: Journal of the Transportation R

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Although a huge amount of information is available in all kinds of marine safety databases, only a small part can be used directly. The disorganized information from different sources leads to a mixture of format and definition. In the work reported in this paper, the Dempster–Shafer theory (DST) of evidence was applied to combine evidence (i.e., a piece of information that supports a claim) from different sources. The method is regarded as a generalization of the Bayesian theory and can avoid two difficulties in classical probability theory: handling the conflicting information and assigning prior probabilities. The work of data fusion was demonstrated first by a decision fusion problem that involved the reconciliation of contradictory expert reports. The DST can provide a decision maker with a comprehensive result through the combination of different experts’ opinions. Second, fusion was conducted of two representative maritime incident databases: that of the Global Integrated Shipping Information System and that of the International Chamber of Commerce. Although the records in the databases had some defects (e.g., disorder, error, contradiction), the DST was able to work effectively and calculate an uncertainty interval of incident.

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Section: Literature Reviewmentioning

confidence: 99%