firerisk: firerisk Bayesian Network

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

firerisk Bayesian Network

Description

Predictive study of fire risk in building using Bayesian networks.

Format

A discrete Bayesian network to calculate the probability of fire ignition in buildings (root nodes were given a uniform distribution). The probabilities were available from a repository. The vertices are:

A1

Deficient electrical installation (T, F);

A2

Bad quality of electical equipment (T, F);

A3

Contact between incompatible products (T, F);

B1

Mishandling of electrical devices (T, F);

B2

Electrical overload (T, F);

B3

Power cut (T, F);

B4

Degradation of electrical wires (T, F);

B5

Excessive heating in the conductors (T, F);

B6

Insulation fault (T, F);

B7

Short circuit (T, F);

B8

Strong intensity electric (T, F);

B9

Combustion of electrical equipment (T, F);

B10

Appearance of electric arcs (T, F);

B11

Appearence of sparks (T, F);

B12

Chemical reactions (T, F);

B13

Heat release (T, F);

B14

Appearance of new products (T, F);

C1

Electrical equipment malfunction (T, F);

C2

Electrocution (T, F);

C3

Fire ignition (T, F);

C4

Poisoning (T, F);

C5

Asphyxia (T, F);

C6

Explosion (T, F);

Value

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

References

Issa, S. K., Bakkali, H., Azmani, A., & Amami, B. (2024). Predictive study of fire risk in building using Bayesian networks. Journal of Theoretical and Applied Information Technology, 102(7).

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