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References from Process accident prediction using Bayesian network based on IT2Fs and Z-number: A case study of spherical tanks. Local targets link to admitted publications; unresolved targets remain external evidence.
Fishbone diagram and risk matrix analysis method and its application in safety assessment of natural gas spherical tank
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Development of a predictive accident model for dynamic risk assessment of propane storage tanks
10.1016/j.psep.2021.02.018 · 2021 · External reference
Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm
10.3390/en12060991 · 2019 · External reference
Safety assessment of hydrogen jet fire scenarios within semi-confined spaces.
10.3390/fire6010029 · 2023 · External reference
Study of vapour cloud explosion impact from pressure changes in the liquefied petroleum gas sphere tank storage leakage
10.1088/1757-899x/358/1/012073 · 2018 · External reference
The tragedy of San Juanico—the most severe LPG disaster in history
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State and community during the aftermath of Mexico City’s November 19, 1984 Gas Explosion
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Lees’ Loss prevention in the process industries: Hazard identification, assessment and control
2012 · External reference
Comparative consequence analysis of the BLEVE phenomena in the context on Land Use Planning; Case study: The Feyzin accident.
10.1016/j.psep.2010.08.003 · 2011 · External reference
Analysis of an LPG explosion and fire
10.1002/prs.680220307 · 2003 · External reference
Explanation and prediction of accidents using the path analysis approach in industrial units: The effect of safety performance and climate.
10.3233/wor-203204 · 2020 · External reference
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Dynamic risk management: a contemporary approach to process safety management.
10.1016/j.coche.2016.07.006 · 2016 · External reference
A dynamic risk model to analyze hydrogen infrastructure
10.1016/j.ijhydene.2020.10.191 · 2021 · External reference
Developing an advanced dynamic risk analysis method for fire-related domino effects.
10.1016/j.psep.2019.11.029 · 2020 · External reference
Dynamic domino effect risk assessment using Petri-nets.
10.1016/j.psep.2019.02.019 · 2019 · External reference
Dynamic risk analysis of flammable liquid road tanker based on fuzzy Bayesian network
10.1002/prs.12508 · 2023 · External reference
Dynamic risk‐based maintenance for offshore processing facility
10.1002/prs.11829 · 2016 · External reference
Dynamic risk analysis of oil depot storage tank failure using a fuzzy Bayesian network model.
10.1016/j.psep.2023.03.072 · 2023 · External reference
SHIPP methodology: Predictive accident modeling approach. Part I: Methodology and model description.
10.1016/j.psep.2011.01.002 · 2011 · External reference
SHIPP methodology: Predictive accident modeling approach. Part II. Validation with case study
10.1016/j.psep.2010.12.002 · 2011 · External reference
A novel Fuzzy Bayesian Network approach for safety analysis of process systems; An application of HFACS and SHIPP methodology
10.1016/j.jclepro.2019.118761 · 2020 · External reference
A comprehensive approach to analyze the risk of floating roof storage tanks.
10.1016/j.psep.2020.11.051 · 2021 · External reference
A comprehensive methodology for quantification of Bow-tie under type II fuzzy data.
10.1016/j.asoc.2021.107148 · 2021 · External reference
A novel integrated methodology for human reliability assessment in hydrogen fuelling stations
10.1016/j.ijhydene.2022.12.181 · 2023 · External reference
Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network.
10.1016/j.psep.2012.01.005 · 2013 · External reference
Comparison of the theoretical elements and application characteristics of STAMP, FRAM, and 24Model: A major hazardous chemical explosion accident
10.1016/j.jlp.2022.104880 · 2022 · External reference
Resilience Assessment of Chemical Process Systems under uncertain Disruptions based on Catastrophe Theory (CT) and Dynamic Bayesian Network (DBN).
2022 · External reference
Dynamic risk analysis using bow-tie approach.
10.1016/j.ress.2012.04.003 · 2012 · External reference
Selecting strategies to reduce high-risk unsafe work behaviors using the safety behavior sampling technique and Bayesian network analysis
2017 · External reference
Predictive analysis for risk of fire and explosion of LNG storage tanks by fuzzy Bayesian network.
10.1007/s41872-019-00105-z · 2020 · External reference
Fuzzy evidence theory and Bayesian networks for process systems risk analysis
2018 · External reference
A novel approach in fuzzy bowtie analysis applying Takagi–Sugeno inference for risk assessment in chemical industry
10.1016/j.jlp.2022.104892 · 2022 · External reference
Risk modelling of a hydrogen gasholder using Fuzzy Bayesian Network (FBN).
10.1016/j.ijhydene.2019.10.198 · 2020 · External reference
Development of a novel Electrical Industry Safety Risk Index (EISRI) in the electricity power distribution industry based on fuzzy analytic hierarchy process (FAHP).
10.1016/j.heliyon.2023.e13155 · 2023 · External reference
Adapted fuzzy fault tree analysis for oil storage tank fire.
10.1080/15567036.2018.1522393 · 2019 · External reference
A weighted similarity measure between Z-numbers and bow-tie quantification
10.1109/tfuzz.2019.2930935 · 2019 · External reference
Modeling the causes-effect relationships among major accident predictors based on a fuzzy multi-criteria decision-making method.
10.3233/wor-203281 · 2020 · External reference
Fuzzy modelling and simulation of an emergency department for improvement of nursing schedules with noisy and uncertain inputs
10.1504/ijsom.2013.053255 · 2013 · External reference
A comprehensive risk evaluation method for natural gas pipelines by combining a risk matrix with a bow-tie model
10.1016/j.jngse.2015.04.029 · 2015 · External reference
Causations Analysis of a High-Speed Railway Accident Using Extended 24Model with Interval Type-2 Fuzzy DEMATEL Method
10.1080/01969722.2022.2146926 · 2022 · External reference
On the importance of interval sets in type-2 fuzzy logic systems
2001 · External reference
Z-numbers and type-2 fuzzy sets: A representation result.
2017 · External reference
Integration of fuzzy AHP and interval type-2 fuzzy DEMATEL: An application to human resource management
10.1016/j.eswa.2015.01.021 · 2015 · External reference
Risk analysis model with interval type-2 fuzzy FMEA—case study of railway infrastructure projects in the Republic of Serbia.
10.12700/aph.19.3.2022.3.9 · 2022 · External reference
Hesitant interval‐valued Pythagorean fuzzy VIKOR method
10.1002/int.22075 · 2019 · External reference
An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods.
10.1016/j.ins.2019.06.049 · 2019 · External reference
Improved fuzzy Bayesian network-based risk analysis with interval-valued fuzzy sets and D–S evidence theory
10.1109/tfuzz.2019.2929024 · 2019 · External reference
Unresolved reference
External reference
A new methodology of multicriteria decision‐making in supplier selection based on Z‐Numbers
2016 · External reference
A project prioritization approach considering uncertainty, reliability, criteria prioritization, and robustness
10.1016/j.dss.2022.113731 · 2022 · External reference
A note on Z-numbers.
10.1016/j.ins.2011.02.022 · 2011 · External reference
An Extended Interval Type‐2 Fuzzy VIKOR Technique with Equitable Linguistic Scales and Z‐Numbers for Solving Water Security Problems in Malaysia.
2023 · External reference
An integrated interval type-2 fuzzy sets and multiplicative half quadratic programming-based MCDM framework for calculating aggregated risk ranking results of failure modes in FMECA.
10.1016/j.psep.2021.04.006 · 2021 · External reference
On clarifying some definitions and notations used for type-2 fuzzy sets as well as some recommended changes.
10.1016/j.ins.2016.01.015 · 2016 · External reference
Fuzzy analytic hierarchy process with interval type-2 fuzzy sets.
10.1016/j.knosys.2014.02.001 · 2014 · External reference
An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment
10.1016/j.ejor.2016.09.059 · 2017 · External reference
A novel risk analysis approach for FPSO single point mooring system using Bayesian Network and interval type-2 fuzzy sets.
10.1016/j.oceaneng.2022.113144 · 2022 · External reference
Some hesitant fuzzy hamacher power-aggregation operators for multiple-attribute decision-making.
10.3390/math7070594 · 2019 · External reference
A methodology for enhancing the reliability of expert system applications in probabilistic risk assessment.
10.1016/j.jlp.2019.02.001 · 2019 · External reference
Human reliability analysis in de-energization of power line using HEART in the context of Z-numbers
10.1371/journal.pone.0253827 · 2021 · External reference
Ranking of Z‐numbers based on value and ambiguity at levels of decision making
10.1002/int.22301 · 2021 · External reference
Dynamic risk analysis of hydrogen gas leakage using Bow-tie technique and Bayesian network
2021 · External reference
Development of a dynamic quantitative risk assessment methodology using fuzzy DEMATEL-BN and leading indicators
10.1016/j.psep.2020.04.038 · 2020 · External reference
Network based approach for predictive accident modelling
10.1016/j.ssci.2015.08.003 · 2015 · External reference
Risk assessment of methanol storage tank fire accident using hybrid FTA-SPA.
10.1371/journal.pone.0282657 · 2023 · External reference
An extended interval type-2 fuzzy ORESTE method for risk analysis in FMEA
10.1007/s40815-020-01034-1 · 2021 · External reference
An approach to human reliability in man-machine systems using error possibility
10.1016/0165-0114(88)90140-6 · 1988 · External reference
A Copula-Bayesian approach for risk assessment of decommissioning operation of aging subsea pipelines.
10.1016/j.psep.2022.09.019 · 2022 · External reference
Monte Carlo simulation as a tool to show the influence of the human factor into the quantitative risk assessment.
10.1016/j.psep.2016.04.024 · 2016 · External reference
Probabilistic risk analysis of process systems considering epistemic and aleatory uncertainties: a comparison study
10.1142/s0218488521500098 · 2021 · External reference
