2015
DOI: 10.1016/j.proeng.2015.12.320
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Risk Assessment of Multi-State Bayesian Network in an Oil Gathering and Transferring System

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Cited by 8 publications
(8 citation statements)
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“…It is challenging to establish a risk assessment model for conflicts in land expropriation with decision-making in uncertain environments. There are several methodologies for risk assessment: the AHP ( Saaty, 1977 ); Gray system theory ( Zhou et al, 2015 ); multi-state Bayesian network methodology ( Qiu et al, 2015 ); and fuzzy mathematics ( Wang, 2019 ). AHP is an effective multi-target decision-making method combining qualitative analysis with quantitative analysis which is often applied in comprehensive evaluation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is challenging to establish a risk assessment model for conflicts in land expropriation with decision-making in uncertain environments. There are several methodologies for risk assessment: the AHP ( Saaty, 1977 ); Gray system theory ( Zhou et al, 2015 ); multi-state Bayesian network methodology ( Qiu et al, 2015 ); and fuzzy mathematics ( Wang, 2019 ). AHP is an effective multi-target decision-making method combining qualitative analysis with quantitative analysis which is often applied in comprehensive evaluation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Risk assessment and safety analysis in the maritime transport holds significant prominence and has a long history. In the conventional risk assessment methods, the system is analyzed for only two states as "normal" and "failure" [7]. However, from a practical perspective, the different components of the system at the time of an accident or an undesired event are not all in the same state.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It imparted the capability to obtain the probability distribution of each system state and their role towards the likelihood of failure [21]. BNs facilitated with multi-states have also been incorporated to analyze the multi-state degradation system and the braking system of a maglev train [7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Attributed to its ability of capturing the probability change with the passage of time, the multi-state approach has been extensively utilized in the reliability analysis and risk management domains.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Marginal distribution, which serves as normalization constant A Bayesian Network is based on the Bayes' theorem (Stassopoulou et al 1998) and is a graphical-mathematical construct (Ames and Anselmo 2008) as a directed acyclic graph and covers nodes, edges and Conditional Probability Tables (CPT). Nodes are variables, directed edges between nodes represent dependencies and causal relationships between variables, and CPT is the conditional probabilities of linked variables (Stassopoulou et al 1998;Qiu et al 2015;Jebb 2017). Bayesian Networks are used to probabilistically model the processes and to graphically configure the information (Stassopoulou et al 1998;Ames and Anselmo 2008;Çinicioğlu 2015).…”
Section: Bayesian Networkmentioning
confidence: 99%