Precisely assessing risk associated with critical and complex engineering systems operating in an environment with high amount of uncertainty is extremely difficult. Taking proper decisions to reduce risk level depends on how accurately the risks associated with the system are assessed. Risk assessment and safety modelling of complex systems were studied using various tools such as crisp sets, Bayesian belief network, fuzzy sets, classical logic and fuzzy logic. Neutrosophic set which is an extension of fuzzy set represents the real world better than fuzzy set due to the inclusion of the hesitancy component in the set. This research focuses on developing a neutrosophic logic–based model employing neutrosophic IF-THEN rules using linear trapezoidal neutrosophic number and analytical hierarchy process for qualitative and subjective analysis of human knowledge. The model is validated using an illustrative example for safety analysis of marine system.

中文翻译：

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使用中智逻辑的海洋系统安全建模

在高度不确定的环境中准确评估与关键和复杂工程系统相关的风险是极其困难的。采取适当的决策来降低风险水平取决于评估与系统相关的风险的准确程度。使用各种工具，如清晰集、贝叶斯信念网络、模糊集、经典逻辑和模糊逻辑，研究了复杂系统的风险评估和安全建模。Neutrosophic 集是模糊集的扩展，由于包含了犹豫成分，它比模糊集更能代表现实世界。本研究的重点是开发一种基于中智逻辑的模型，该模型采用中智 IF-THEN 规则，使用线性梯形中智数和层次分析过程，对人类知识进行定性和主观分析。该模型使用用于海洋系统安全分析的说明性示例进行验证。