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Hybrid belief rule base for regional railway safety assessment with data and knowledge under uncertainty
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Risk Assessment of Railway Transportation Systems using Timed Fault Trees
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Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment
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Decision support model for prioritizing railway level crossings for safety improvements: Application of the adaptive neuro-fuzzy system
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Belief rule based expert system for classification problems with new rule activation and weight calculation procedures
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Credal c-means clustering method based on belief functions
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Interdisciplinary safety analysis of complex socio-technological systems based on the functional resonance accident model: An application to railway trafficsupervision
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Metro railway safety: An analysis of accident precursors
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Highway-rail grade crossing safety challenges for shared operations of high-speed passenger and heavy freight rail in the U.S.
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Robustness assessment of urban rail transit based on complex network theory: A case study of the Beijing Subway
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Aggregation of group fuzzy risk information in the railway risk decision making process
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A hybrid human and organizational analysis method for railway accidents based on HFACS-Railway Accidents (HFACS-RAs)
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A new safety assessment model for complex system based on the conditional generalized minimum variance and the belief rule base
inferredcites →https://doi.org/10.1016/j.ssci.2017.11.022openalex-snapshot
Railway accidents and incidents: Complex socio-technical system accident modelling comes of age
inferredcites →https://doi.org/10.1016/j.ssci.2018.03.001openalex-snapshot
Railway safety by designing the layout of inland terminals with dangerous goods connected with the rail transport system
inferredcites →https://doi.org/10.1016/j.trc.2011.12.002openalex-snapshot
Simulation-based evaluation of dependability and safety properties of satellite technologies for railway localization
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The Development of an Enhanced Bowtie Railway Safety Assessment Tool using a Big Data Analytics Approach
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Combination of Classifiers With Optimal Weight Based on Evidential Reasoning
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Improved Fuzzy Bayesian Network-Based Risk Analysis With Interval-Valued Fuzzy Sets and D–S Evidence Theory
inferredcites →https://doi.org/10.1109/tsmc.2015.2504047openalex-snapshot
A New BRB-ER-Based Model for Assessing the Lives of Products Using Both Failure Data and Expert Knowledge
inferredcites →https://doi.org/10.1109/tsmc.2016.2622247openalex-snapshot
Hybrid Classification System for Uncertain Data
inferredcites →https://doi.org/10.1109/tsmc.2017.2678607openalex-snapshot
Belief Rule Base Structure and Parameter Joint Optimization Under Disjunctive Assumption for Nonlinear Complex System Modeling
inferredcites →https://doi.org/10.1109/tsmca.2005.851270openalex-snapshot
Belief rule-base inference methodology using the evidential reasoning Approach-RIMER
inferredcites →https://doi.org/10.1109/tsmca.2011.2147312openalex-snapshot
Online Updating Belief-Rule-Base Using the RIMER Approach
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Bayesian Networks‐Based Probabilistic Safety Analysis for Railway Lines
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Safety and availability evaluation of railway operation based on the state of signalling systems
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Transportation Systems Reliability and Safety
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Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC
inferredcites →https://doi.org/10.31181/oresta190120101108popenalex-snapshot
Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia
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Using Climate and Weather Data to Support Regional Vulnerability Screening Assessments of Transportation Infrastructure
inferredcites →https://doi.org/10.3846/13923730.2015.1023348openalex-snapshot
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Extended Belief Rule-Base Optimization Base on Clustering Tree and Parameter Optimization
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Development of a Maritime Safety - Tool for Inner Harbour Ferry Transport Operations
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