vessel1: vessel Bayesian Networks

In bnRep: A Repository of Bayesian Networks from the Academic Literature

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.

bnRep documentation built on April 12, 2025, 1:13 a.m.