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bnRep (version 0.0.3)

vessel2: vessel Bayesian Networks

Description

Analysis of fishing vessel accidents with Bayesian network and Chi-square methods.

Arguments

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

Format

A discrete Bayesian network to understand the occurrence of accidents in fishing vessels and to estimate the occurrence of accidents in variable conditions (Collision, Fig. 2). Probabilities were given within the referenced paper. The vertices are:

AlcoholDrugUse

(Yes, No);

BridgeWithoutAWatchkeeper

(Yes, No);

Collision

(Yes, No);

Fatigue

(Yes, No);

IntentionOfTargetVessel

(Understood, Not understood);

InterShipCommunication

(Proper, Improper);

Lookout

(Proper, Improper);

Manning

(Minimum num, Optimum num);

OccupationWithOtherTasks

(Yes, No);

PresenceOfTargetVessel

(Not Detected, Detected);

RestrictedVisibility

(No, Yes);

TypeOfNavigation

(Coastal Waters, Off Shore, Port);

UseOfNavigationEquipment

(Adequate, Inadequate);

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.