vessel1 {bnRep} | R Documentation |
vessel Bayesian Networks
Description
Analysis of fishing vessel accidents with Bayesian network and Chi-square methods.
Format
A discrete Bayesian network to understand the occurrence of accidents in fishing vessels and to estimate the occurrence of accidents in variable conditions (Sinking, Fig. 1). Probabilities were given within the referenced paper. The vertices are:
- CarryingLoadAboveTransportLimits
(Yes, No);
- DesignDefect
(Yes, No);
- HuntingEquipmentOverload
(Yes, No);
- LossOfBuoyancy
(Yes, No);
- LossOfStability
(Yes, No);
- LossOfWaterTightness
(Present, Absent);
- Overload
(Yes, No);
- PlannedMaintenance
(Completed, Uncompleted);
- Sinking
(Yes, No);
- UnstableLoading
(Yes, No);
- UsedHuntingEquipment
(Proper, Improper);
- VesselAge
(Old, New);
- VesselPipelines
(Corroded, Normal);
- VesselStructure
(Worn, Normal);
- WaterIntake
(Yes, No);
- WeatherAndSeaConditions
(Bad, Good);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Ugurlu, F., Yildiz, S., Boran, M., Ugurlu, O., & Wang, J. (2020). Analysis of fishing vessel accidents with Bayesian network and Chi-square methods. Ocean Engineering, 198, 106956.