An integrated MCDM approach for enhancing efficiency in connected autonomous vehicles through augmented intelligence and IoT integration
Results in Engineering,
Год журнала:
2024,
Номер
23, С. 102626 - 102626
Опубликована: Июль 27, 2024
The
rapid
advancement
of
Connected
Autonomous
Vehicles
(CAVs)
equipped
with
self-powered
sensors
is
poised
to
revolutionize
road
safety,
efficiency,
and
the
quality
travel.
However,
effective
integration
these
technologies
within
dynamic
environments
poses
significant
challenges,
highlighting
need
for
innovative
multi-criteria
decision-making
(MCDM)
approaches
optimize
their
deployment.
This
study
tries
solve
problem
by
proposing
an
MCDM
method
that
uses
fuzzy
sets
evaluate
rank
different
scenarios
better
performance
augmented
intelligence
Internet
Things
(IoT)
in
CAVs.
research
two
key
techniques:
Fuzzy
Logarithm
Incremental
Weights
(F-LMAW)
criteria
evaluation
Fermatean
Weighted
Aggregated
Sum
Product
Assessment
(FF-WASPAS)
scenario
evaluation.
To
ensure
reliability
accuracy
results,
a
sensitivity
analysis
was
conducted.
confirmed
effectiveness
proposed
approach.
study's
results
showed
third
(the
IoT
urban
areas
via
sensors)
got
highest
score,
which
shows
how
important
it
compared
other
choices.
obtained
highlight
importance
integrating
enhance
public
transportation
autonomous
vehicles
sensors.
Язык: Английский
Risk assessment of young driver behavior using an extended decision-making approach based on FMEA in uncertain environments
Neural Computing and Applications,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 5, 2025
Язык: Английский
Evaluation of medium-lift forest fire helicopter using q-rung orthopair fuzzy set based alternative ranking technique based on adaptive standardized intervals approach
Engineering Applications of Artificial Intelligence,
Год журнала:
2025,
Номер
148, С. 110468 - 110468
Опубликована: Март 7, 2025
Язык: Английский
Failure analysis in smart grid solar integration using an extended decision-making-based FMEA model under uncertain environment
Stochastic Environmental Research and Risk Assessment,
Год журнала:
2024,
Номер
38(9), С. 3543 - 3563
Опубликована: Июль 14, 2024
Язык: Английский
Risk Prioritizing with Weighted Failure Mode and Effects Analysis and Fuzzy Step-Wise Weight Assessment Ratio Analysis: An Application Software Service Provider Company in the Defense Industry
Applied Sciences,
Год журнала:
2024,
Номер
14(24), С. 11573 - 11573
Опубликована: Дек. 11, 2024
With
the
development
of
technology,
need
for
software
and
products
to
manage,
control,
develop
activities
in
many
sectors
is
increasing
daily.
In
order
create
suitable
that
will
meet
needs
businesses
customers,
application
must
be
tested
detail
before
reaching
end
user.
For
this
reason,
testing
processes
are
gaining
importance
activities.
This
article
discusses
which
errors
critical
solve
complex
situations
reliability
quality
product
relationship
between
errors.
study,
classical
FMEA
method
was
primarily
used
identify
prioritize
an
ongoing
project
a
company
provides
services
defense
industry.
Later,
eliminate
shortcomings
method,
new
model,
weighted
(which
calculates
risk
priority
score
with
five
sub-severity
components),
developed
applied.
newly
weights
were
determined
by
fuzzy
SWARA
(Step-Wise
Weight
Assessment
Ratio
Analysis)
since
severity
subcomponents
not
same.
The
number
(RPN)
error
types
calculated
using
FMEA.
Since
RPNs
more
subcomponents,
chances
RPNs’
appearing
same
much
less
than
situation
indicates
obtained
from
profound
analysis.
Язык: Английский