A new risk assessment method based on belief rule base and fault tree analysis

Risk assessment methods are often used in complex industrial systems to avoid risks and reduce losses. The existing methods have not effectively solved the problems of lack of evaluation data and t...

[1]  Jian-Bo Yang,et al.  Belief rule-base inference methodology using the evidential reasoning Approach-RIMER , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[2]  Kevin Jones,et al.  A review of cyber security risk assessment methods for SCADA systems , 2016, Comput. Secur..

[3]  Mohammad Ebrahim Banihabib,et al.  Comprehensive risk assessment of river basins using Fault Tree Analysis , 2019, Journal of Hydrology.

[4]  Jian-Bo Yang,et al.  A Study on Generalising Bayesian Inference to Evidential Reasoning , 2014, Belief Functions.

[5]  Zhiguo Zhou,et al.  A new safety assessment model for complex system based on the conditional generalized minimum variance and the belief rule base , 2017 .

[6]  Dong-Ling Xu,et al.  A belief rule-based decision support system for clinical risk assessment of cardiac chest pain , 2012, Eur. J. Oper. Res..

[7]  Sohag Kabir,et al.  Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives , 2019, Process Safety and Environmental Protection.

[8]  Chang Liu,et al.  An improved risk assessment method based on a comprehensive weighting algorithm in railway signaling safety analysis , 2020 .

[9]  Chang-Hua Hu,et al.  A Model for Hidden Behavior Prediction of Complex Systems Based on Belief Rule Base and Power Set , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[10]  Tao Zhang,et al.  Multiple instance learning for credit risk assessment with transaction data , 2018, Knowl. Based Syst..

[11]  Enrico Zio,et al.  An extended method for evaluating assumptions deviations in quantitative risk assessment and its application to external flooding risk assessment of a nuclear power plant , 2020, Reliab. Eng. Syst. Saf..

[12]  Long-Hao Yang,et al.  A disjunctive belief rule-based expert system for bridge risk assessment with dynamic parameter optimization model , 2017, Comput. Ind. Eng..

[13]  Sohag Kabir,et al.  Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems , 2018, IEEE Access.

[14]  Hangseok Choi,et al.  Risk analysis using fault-tree analysis (FTA) and analytic hierarchy process (AHP) applicable to shield TBM tunnels , 2015 .

[15]  Jinxin Liu,et al.  A probabilistic risk assessment framework considering lane-changing behavior interaction , 2020, Science China Information Sciences.

[16]  Rolf Oppliger.  Quantitative Risk Analysis in Information Security Management: A Modern Fairy Tale , 2015, IEEE Security & Privacy.

[17]  Terje Aven,et al.  Using qualitative types of risk assessments in conjunction with FRAM to strengthen the resilience of systems , 2018, Journal of Risk Research.

[18]  Qiquan Wang,et al.  Subway Crowded and Stampede Neural Networks Safety Assessment Basing on SHEL Model , 2016 .

[19]  Zhi-Jie Zhou,et al.  A safety assessment model based on belief rule base with new optimization method , 2020, Reliab. Eng. Syst. Saf..

[20]  Yuqing Zhang,et al.  A revised CVSS-based system to improve the dispersion of vulnerability risk scores , 2017, Science China Information Sciences.

[21]  Gholamreza Abdollahzadeh,et al.  Risk Assessment in Bridge Construction Projects Using Fault Tree and Event Tree Analysis Methods Based on Fuzzy Logic , 2015 .

[22]  E. Abrahamsen,et al.  A New Framework To Idenitfy And Assess Hidden Assumptions In The Background Knowledge Of A Risk Assessment , 2020, Reliab. Eng. Syst. Saf..

[23]  Sohag Kabir,et al.  Fuzzy evidence theory and Bayesian networks for process systems risk analysis , 2018, Human and Ecological Risk Assessment: An International Journal.

[24]  Bing Han,et al.  Data-driven based fault prognosis for industrial systems: a concise overview , 2020, IEEE/CAA Journal of Automatica Sinica.

[25]  Wei He,et al.  Aeronautical relay health state assessment model based on belief rule base with attribute reliability , 2020, Knowl. Based Syst..

[26]  B. Chandrasekaran,et al.  Natural and Social System Metaphors for Distributed Problem Solving: Introduction to the Issue , 1981, IEEE Transactions on Systems, Man, and Cybernetics.

[27]  Mohamed Sallak,et al.  A valuation-based system approach for risk assessment of belief rule-based expert systems , 2018, Inf. Sci..

[28]  Yi Zhao,et al.  A multi-experts and multi-criteria risk assessment model for safety risks in oil and gas industry integrating risk attitudes , 2018, Knowl. Based Syst..

[29]  Sohag Kabir,et al.  A Method for Temporal Fault Tree Analysis Using Intuitionistic Fuzzy Set and Expert Elicitation , 2020, IEEE Access.

[30]  Wenlin Zhang,et al.  A Current-Based Approach for Short-Circuit Fault Diagnosis in Closed-Loop Current Source Inverter , 2020, IEEE Transactions on Industrial Electronics.

[31]  Zhi-Jie Zhou,et al.  A New Belief Rule Base Model With Attribute Reliability , 2019, IEEE Transactions on Fuzzy Systems.