Renren Zhang

TL;DR: A novel framework comprising of fuzzy DEMATEL implemented with TOPSIS to assess the comprehensive risk of hydrogen generation unit is presented, capable of capturing the interdependencies among different hazards, and prioritize the hazards in the decision-making process.

TL;DR: A dynamic risk analysis of external activities to urban gas pipelines is presented, which integrates unintentional and intentional damage to pipelines in a unified framework and is observed that the proposed methodology helps to more accurately conduct risk assessment and management of urban natural gas pipelines.

TL;DR: Wang et al. as mentioned in this paper integrated KPCA and BRANN techniques to develop a novel data-driven model for corrosion degradation prediction of offshore oil pipelines, which can eliminate the redundant information from the original monitoring data and improve the robustness by regularization constraints.

TL;DR: In this paper, the authors proposed a methodology by integrating an index-based risk evaluation system and fuzzy TOPSIS model for risk management of aging urban oil and gas pipelines, and it is carried out by evaluating the priority of hazards affecting pipeline safety.

TL;DR: A semi-quantitative methodology comprising Matter-Element Extension Theory implemented with Combination Ordered Weighted Averaging (C-OWA) operator is proposed to assess the risk of a university chemical laboratory and can be a useful tool for risk assessment and management of university chemical laboratories.