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Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis
10 references·0 citing·46 second hop
Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis (2024)Performability Evaluation of Autonomous U…Risk Analysis of Autonomous Underwater Vehicle Operation in a Polar Environment Based on Fuzzy Fault Tree Analysis (2023)Risk Analysis of Autonomous U…Methods for Weighting Decisions to Assist Modelers and Decision Analysts: A Review of Ratio Assignment and Approximate Techniques (2021)Methods for Weighting Decisio…A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles (2021)A Review of Risk Analysis Res…A Bayesian approach to risk modeling of autonomous subsea intervention operations (2018)A Bayesian approach to risk m…A Systematic Approach to Risk Assessment: Focusing on Autonomous Underwater Vehicles and Operations in Arctic Areas (2014)A Systematic Approach to Risk…A Behavioral Probabilistic Risk Assessment Framework for Managing Autonomous Underwater Vehicle Deployments (2012)A Behavioral Probabilistic Ri…Reliability analysis of AUV based on fuzzy fault tree (2009)Reliability analysis of AUV b…Progression of the binary decision diagram conversion methods (2003)Progression of the binary dec…Optimum prioritisation and resource allocation based on fault tree analysis (2000)Optimum prioritisation and re…A comparison of weight approximation techniques in multiattribute utility decision making (1981)A comparison of weight approx…Efficient basic event orderings for binary decision diagrams (1998)An ordering heuristic for building binary decision diagrams from fault-trees (2002)A new methodology to handle Boolean models with loops (2003)Reliability engineering and risk assessment (1981)Reliability and Risk Assessment (1994)Fault tree analysis and binary decision diagrams (2002)Metodologia integrada para mapeamento de falhas: uma proposta de utilização conjunta do mapeamento de processos com as técnicas FTA, FMEA e a análise crítica de especialistas (2010)FAILURE MAPPING PROCESS: AN APPLIED STUDY IN A SHIPYARD FACILITY (2015)Optimizing resource allocations to improve system reliability via the propagation of statistical moments through fault trees (2022)A case study of graduate admissions: Application of three principles of human decision making. 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(1956)Dynamic models of segregation† (1971)Optimization by the Analytic Hierarchy Process (1979)Analyzing Healthcare and Wellness Products’ Quality Embedded in Online Customer Reviews: Assessment with a Hybrid Fuzzy LMAW and Fermatean Fuzzy WASPAS Method (2023)A science mapping lens on discrete event simulation applications in construction engineering and management (2024)Adaptive multi-criteria decision making for electric vehicles: a hybrid approach based on RANCOM and ESP-SPOTIS (2024)An approach to human reliability in man-machine systems using error possibility (1988)Aggregation of fuzzy opinions under group decision making (1996)
this work references cited by second hop

References

  • 1981A comparison of weight approximation techniques in multiattribute utility decision making474 cited
  • 2021A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles106 cited
  • 2021Methods for Weighting Decisions to Assist Modelers and Decision Analysts: A Review of Ratio Assignment and Approximate Techniques66 cited
  • 2018A Bayesian approach to risk modeling of autonomous subsea intervention operations41 cited
  • 2012A Behavioral Probabilistic Risk Assessment Framework for Managing Autonomous Underwater Vehicle Deployments36 cited
  • 2000Optimum prioritisation and resource allocation based on fault tree analysis26 cited
  • 2009Reliability analysis of AUV based on fuzzy fault tree16 cited
  • 2014A Systematic Approach to Risk Assessment: Focusing on Autonomous Underwater Vehicles and Operations in Arctic Areas15 cited
  • 2023Risk Analysis of Autonomous Underwater Vehicle Operation in a Polar Environment Based on Fuzzy Fault Tree Analysis8 cited
  • 2003Progression of the binary decision diagram conversion methods8 cited

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