The Risk Analysis of Cart Development Based on Dynamic Bayesian Networks
Abstract
To
address
the
issues
of
multiple
uncertainties,
complex
structures,
and
unpredictability
during
development
trolley,
this
paper
proposes
a
risk
analysis
method
for
trolley
based
on
dynamic
Bayesian
networks.
First,
extensive
relevant
literature
applying
rough
set
reduction
theory
optimization,
factor
checklist
with
5
primary
indicators
16
secondary
is
constructed.
Next,
network
model
established
by
introducing
time
dimension.
Fuzzy
expert
scoring
are
used
to
quantify
probabilities
nodes,
Leaky
Noisy-or
Gate
expansion
applied
correct
conditional
probabilities.
Finally,
performed
using
bidirectional
inference
function
network.
The
time-series
variation
curve
obtained
through
case
analysis.
By
reverse
reasoning,
key
factors
occurrence
identified,
corresponding
response
strategies
proposed.
research
results
provide
new
approach
analyzing
effectively
controlling
risks
associated
development.
Research Square (Research Square), Год журнала: 2025, Номер unknown
Опубликована: Янв. 15, 2025
Язык: Английский
