Technological Forecasting and Social Change,
Год журнала:
2024,
Номер
206, С. 123556 - 123556
Опубликована: Июль 14, 2024
The
integration
of
artificial
intelligence
(AI)
with
human
(HI)
has
been
asserted
to
provide
transformational
power
across
the
humanitarian
supply
chain
(HSC).
However,
there
is
little
rigorous
work
that
analyses
enablers
promote
AI–HI
and
application
in
HSC.
Thus,
this
paper
reports
a
hybrid
decision
support
framework
for
analysing
HSC
complicated,
uncertain,
periodic
information.
First,
collect
interdependent
preference
data
from
experts,
complex
spherical
fuzzy
weighted
Heronian
mean
operator
distance
measures-based
optimization
model
established
generate
group
matrix.
Next,
measure
influence
strength
enablers,
decision-making
trial
evaluation
method
determine
enabler
weights,
taking
into
account
their
interactive
relationships.
After
that,
explore
level
different
participants
HSC,
measurement
alternatives
ranking
according
compromise
solution
developed
by
combining
former
two
procedures.
Finally,
case
study
analysis
presented
assess
feasibility
current
method,
which
includes
sensitivity
comparison
studies.
results
reveal
factor
"enhancing
efficiency
relief
operations"
(0.084)
most
important
driving
integration.
outcomes
can
new
understanding
key
parts
Information Sciences,
Год журнала:
2024,
Номер
664, С. 120326 - 120326
Опубликована: Фев. 17, 2024
Sustainable
food
supplier
selection
(SFSS)
can
be
handled
as
an
uncertain
decision-making
issue.
The
Pythagorean
fuzzy
set
(PFS),
a
type
of
non-standard
set,
offers
expanded
description
space
for
articulating
and
data.
Accordingly,
this
paper
proposes
synthetic
decision
method-based
framework
solving
the
SFSS
problem
within
subjective
context.
Then,
weighted
distance
measures
PFS
are
introduced
to
derive
importance
degrees
experts,
which
provide
more
objective
result.
information
fusion
method
with
PFS-weighted
power
average
(WPA)
operator
is
form
group
matrix
competent
accommodate
deviation
effect.
Next,
extended
PF-measurement
alternatives
ranking
according
compromise
solution
(MARCOS)
integrating
PF-criteria
through
inter-criteria
correlation
(CRITIC)
presented
calculate
priority
each
supplier,
capture
inter-correlations
between
criteria.
Finally,
numerical
example
implemented
show
application
proposed
approach.
Subsequently,
sensitivity
analysis
parameters
comparison
among
different
approaches
were
conducted
test
rationality
advantages
resolving
problem.
results
that
reported
practical
way
resolve
problems
Journal of Soft Computing and Decision Analytics,
Год журнала:
2024,
Номер
2(1), С. 71 - 85
Опубликована: Янв. 5, 2024
Decision-makers,
researchers,
practitioners,
and
stakeholders
often
struggle
with
selecting
prioritizing
strategies
to
manage
climate
change
risks.
While
recent
research
extensively
explores
this
issue,
the
emphasis
has
largely
been
on
regions
other
than
Africa.
This
is
significant,
considering
Africa’s
anticipated
exposure
various
severe
impacts
of
change.
study
applied
a
two-stage
model
that
integrates
Step-Wise
Weight
Assessment
Ratio
Analysis
(SWARA)
Weighted
Aggregated
Sum
Product
(WASPAS)
methods
within
unique
framework
under
influence
spherical
fuzzy
(SF)
conditions.
In
initial
stage,
SF-SWARA
determines
relative
importance
criteria,
while
subsequent
stage
involves
SF-WASPAS
method
rank
strategies.
most
critical
challenges
are
limited
access
finance
inadequacies
in
data,
scenarios,
impact
models,
solution
be
considered
promotion
well-coordinated
capacity-building
programme.
Furthermore,
comprehensive
sensitivity
analysis
was
conducted
validate
applicability
proposed
model.
not
only
identifies
explains
associated
risks
management
African
context
but
also
significantly
contributes
body
knowledge
by
outlining
required
address
these
challenges.
Applied Sciences,
Год журнала:
2022,
Номер
13(1), С. 97 - 97
Опубликована: Дек. 21, 2022
The
challenges
of
urban
administration
are
growing,
as
the
population,
automobiles,
and
cities
rise.
Making
smarter
is
thus
one
most
effective
solutions
to
issues.
A
key
feature
“smart
cities”
today
that
they
use
cutting-edge
technology
in
their
infrastructure
services.
With
strategic
planning,
smart
city
utilizes
its
resources
efficient
manner.
reduced
expenses
enhanced
infrastructure,
provide
residents
with
more
better
One
these
important
services
can
be
very
helpful
managing
structural
health
monitoring
(SHM).
By
combining
leading
new
technologies
like
Internet
Things
(IoT)
monitoring,
last
longer
work
better.
thorough
examination
recent
advances
SHM
for
warranted.
Bridges
parts
a
city’s
building,
development,
proper
maintenance
some
aspects
city.
main
goal
this
study
look
at
how
artificial
intelligence
(AI)
technologies,
drone
3D
printers,
could
used
improve
current
state
art
systems
bridges,
including
conceptual
frameworks,
benefits
problems,
existing
methods.
An
outline
role
AI
other
will
play
bridges
future
was
provided
study.
Some
novel
technology-aided
research
opportunities
also
highlighted,
explained,
discussed.
Transportation Engineering,
Год журнала:
2023,
Номер
12, С. 100164 - 100164
Опубликована: Фев. 4, 2023
With
more
cars
on
the
road
and
an
increasing
travel
rate,
one
of
main
issues
in
transportation
engineering
is
how
to
make
roads
safe.
The
evaluation
level
crash
severity
a
significant
component
safety
assessment
terms
financial
personal
losses.
One
most
advanced
ways
control
manage
traffic
information
modern
management
systems
through
intelligent
(ITS).
ITS
plays
big
part
improving
safety.
On
other
hand,
machine
learning
techniques
play
important
role
performance.
Hence,
this
study
aims
predict
classification
approach.
In
study,
two
namely
artificial
neural
network
(ANN)
Grey
Wolf
optimization
algorithm
(GWO)–ANN
were
developed
severity,
several
performance
metrics
used
assess
predictive
algorithms'
capability.
For
purpose,
some
factors
that
affect
considered,
including
light
condition
(LC),
weekday
(W),
horizontal
alignment
(HA),
element
(RE),
type
(TC),
vehicle
(VT),
driver
gender
(DG),
average
speed
(AS)
annual
daily
(AADT).
202
case
studies
recorded
from
urban
Calabria
southern
Italy.
When
comparing
proposed
GWO–ANN
model
ANN
model,
findings
clearly
demonstrated
superiority
model.
Sensors,
Год журнала:
2023,
Номер
23(9), С. 4230 - 4230
Опубликована: Апрель 24, 2023
Structural
health
monitoring
(SHM)
systems
are
used
to
analyze
the
of
infrastructures
such
as
bridges,
using
data
from
various
types
sensors.
While
SHM
consist
stages,
feature
extraction
and
pattern
recognition
steps
most
important.
Consequently,
signal
processing
techniques
in
stage
machine
learning
algorithms
play
an
effective
role
analyzing
bridges.
In
other
words,
there
exists
a
plethora
algorithms,
selection
appropriate
technique/algorithm
is
guided
by
limitations
each
technique/algorithm.
The
also
depends
on
requirements
terms
damage
identification
level
operating
conditions.
This
has
provided
motivation
conduct
Systematic
literature
review
(SLR)
for
structural
existing
reviews
describe
current
trends
field
with
different
focus
aspects.
However,
systematic
that
presents
in-depth
comparative
study
applications
bridges
does
not
exist.
Furthermore,
lack
analytical
studies
investigate
several
design
considerations
including
techniques,
approaches
(classification/
regression),
operational
functionality
levels
(diagnosis/prognosis)
system
implementation
(data-driven/model-based).
this
paper
identifies
45
recent
research
practices
(during
2016–2023),
pertaining
through
SLR
process.
First,
identified
classified
into
three
categories:
supervised
neural
networks
combination
both.
Subsequently,
analysis
performed
category.
Moreover,
selected
(total
=
45)
made,
25
identified.
article
explores
like
process,
implementation.
It
expected
outcomes
may
facilitate
researchers
practitioners
domain
during
according
requirements.