fire_alarm {bnmonitor} | R Documentation |
Bayesian network on fire alarm system
Description
fire_alarm
is a bn.fit
object including a Bayesian network for a fire alarm system.
Usage
fire_alarm
Format
The Bayesian network fire_alarm
includes the following nodes:
-
Fire: two-level factor with levels
TRUE
andFALSE
. It indicates presence or absence of a fire. -
Smoke: two level-factor with levels
TRUE
andFALSE
. It indicates presence or absence of smoke. -
Alarm: three level-factor with levels
TRUE
,MALFUNCTION
andFALSE
. It indicates if the alarm is ringing, malfunctioning or not ringing. -
Tampering: two level-factor with levels
TRUE
andFALSE
. It indicates if the alarm system has been tampered or not. -
Leaving: two level-factor with levels
TRUE
andFALSE
. It indicates if the building is being evacuated or not. -
Report: two level-factor with levels
TRUE
andFALSE
. It indicates if the incident has been reported or not.
Source
Hei Chan, Adnan Darwiche (2002). "When do numbers really matter?". Journal of Artificial Intelligence Research 17 (265-287).