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Risk Analysis and Reliability Assessment of Overhead Cranes Using Fault Tree Analysis Integrated with Markov Chain and Fuzzy Bayesian Networks
16 references·0 citing·42 second hop
Risk Analysis and Reliability Assessment of Overhead Cranes Using Fault Tree Analysis Integrated with Markov Chain and Fuzzy Bayesian Networks (2021)Risk Analysis and Reliability Assessment …Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives (2019)Uncertainty handling in fault…A fuzzy Bayesian network approach for risk analysis in process industries (2017)A fuzzy Bayesian network appr…Dynamic safety assessment of natural gas stations using Bayesian network (2016)Dynamic safety assessment of …Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network (2012)Dynamic safety analysis of pr…Analyzing system safety and risks under uncertainty using a bow-tie diagram: An innovative approach (2011)Analyzing system safety and r…Fault and Event Tree Analyses for Process Systems Risk Analysis: Uncertainty Handling Formulations (2010)Fault and Event Tree Analyses…Fuzzy risk matrix (2008)Fuzzy risk matrixFuzzy logic for process safety analysis (2008)Fuzzy logic for process safet…Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling (2005)Systematic failure mode effec…Why the magic number seven plus or minus two (2003)Why the magic number seven pl…Applications of the extent analysis method on fuzzy AHP (1996)Applications of the extent an…The max-min Delphi method and fuzzy Delphi method via fuzzy integration (1993)The max-min Delphi method and…Fuzzy Multiple Attribute Decision Making (1992)Fuzzy Multiple Attribute Deci…Fuzzy hierarchical analysis (1985)Fuzzy hierarchical analysisApproaches to collective decision making with fuzzy preference relations (1981)Approaches to collective deci…A QUANTITATIVE APPROACH TO CONTENT VALIDITY1 (1975)A QUANTITATIVE APPROACH TO CO…Fuzzy sets (1965)Fuzzy Set Theory—and Its Applications (1996)Fuzzy sets (1996)Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory (2010)Failure mode and effects analysis using D numbers and grey relational projection method (2014)New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method (2017)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)The magical number 4 in short-term memory: A reconsideration of mental storage capacity (2001)Framing sustainability performance of supply chains with multidimensional indicators (2014)Criteria in AHP: A Systematic Review of Literature (2015)The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-Making (2016)A scaling method for priorities in hierarchical structures (1977)The Analytic Hierarchy Process (1985)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)A fuzzy approach for supplier evaluation and selection in supply chain management (2005)Global supplier development considering risk factors using fuzzy extended AHP-based approach (2005)Improving the analysis of dependable systems by mapping fault trees into Bayesian networks (2001)Chemical process safety: fundamentals with applications (2011)Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches (2011)Quantitative risk analysis of offshore drilling operations: A Bayesian approach (2013)Methods and models in process safety and risk management: Past, present and future (2015)The future of risk assessment (2018)Social Choice and Individual Values. (1951)Social Choice and Individual Values (1952)Decision-making with a fuzzy preference relation (1978)On choosing rationally when preferences are fuzzy (1990)Incomplete linguistic preference relations and their fusion (2005)Fuzzy-TISM: A Fuzzy Extension of TISM for Group Decision Making (2014)A review of applications of fuzzy sets to safety and reliability engineering (2018)Safety analysis of process systems using Fuzzy Bayesian Network (FBN) (2018)Is the CVI an acceptable indicator of content validity? Appraisal and recommendations (2007)Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques1 (2011)Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer (2018)Delphi: myths and reality (2003)Using Delphi technique to build consensus in practice (2014)Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process (2017)Multi‐criteria supplier selection using fuzzy AHP (2003)A review of fuzzy AHP methods for decision-making with subjective judgements (2020)TOPSIS for MODM (1994)Tentative guidelines to help choosing an appropriate MCDA method (1998)Developing a fuzzy TOPSIS approach based on subjective weights and objective weights (2008)
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References

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  • 1996Applications of the extent analysis method on fuzzy AHP4,869 cited
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  • 1993The max-min Delphi method and fuzzy Delphi method via fuzzy integration894 cited
  • 2003Why the magic number seven plus or minus two693 cited
  • 2012Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network607 cited
  • 1981Approaches to collective decision making with fuzzy preference relations355 cited
  • 2005Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling324 cited
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  • 2017A fuzzy Bayesian network approach for risk analysis in process industries290 cited
  • 2016Dynamic safety assessment of natural gas stations using Bayesian network257 cited
  • 2010Fault and Event Tree Analyses for Process Systems Risk Analysis: Uncertainty Handling Formulations252 cited
  • 2011Analyzing system safety and risks under uncertainty using a bow-tie diagram: An innovative approach225 cited
  • 2008Fuzzy logic for process safety analysis218 cited

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  • 2019Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives204 cited
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