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α-Cut method based importance measure for criticality analysis in fuzzy probability – Based fault tree analysis

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References

2008Fuzzy risk matrix293 cited
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2001An overview of PSA importance measures245 cited
2014An extension to Fuzzy Fault Tree Analysis (FFTA) application in petrochemical process industry183 cited
2012Risk-based design of process systems using discrete-time Bayesian networks148 cited
2015Fuzzy probability based fault tree analysis to propagate and quantify epistemic uncertainty69 cited
2006Accounting for components interactions in the differential importance measure55 cited
2014Fuzzy probability on reliability study of nuclear power plant probabilistic safety assessment: A review45 cited
2011Fuzzy methodology applied to Probabilistic Safety Assessment for digital system in nuclear power plants33 cited
2015On the extension of Importance Measures to complex components29 cited

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2018Fault trees analysis using expert opinion based on fuzzy‐bathtub failure rates19 cited
2022Risk Assessment Method for the Safe Operation of Long-Distance Pipeline Stations in High-Consequence Areas Based on Fault Tree Construction: Case Study of China–Myanmar Natural Gas Pipeline Branch Station15 cited
2018A Novel Weakest t-norm based Fuzzy Fault Tree Analysis Through Qualitative Data Processing and Its Application in System Reliability Evaluation

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15 cited

2022An α -cut interval based IF-importance measure for intuitionistic fuzzy fault tree analysis of subsea oil and gas production system14 cited

2022Fuzzy probability and α‐cut based‐fault tree analysis approach to evaluate the reliability and safety of complex engineering systems13 cited

2019A Novel Weakest t-Norm based Fuzzy Importance Measure for Fuzzy Fault Tree Analysis of Combustion Engineering Reactor Protection System12 cited

2019The implementation of fault tree analysis approaches in nuclear power plant probabilistic safety assessment9 cited