Journal of Manufacturing Systems,
Journal Year:
2021,
Volume and Issue:
60, P. 823 - 836
Published: Feb. 15, 2021
Since
the
late
2019,
COVID-19
pandemic
has
been
spread
all
around
world.
The
is
a
critical
challenge
to
health
and
safety
of
general
public,
medical
staff
systems
worldwide.
It
globally
proposed
utilise
robots
during
pandemic,
improve
treatment
patients
leverage
load
system.
However,
there
still
lack
detailed
systematic
review
robotic
research
for
from
technologies'
perspective.
Thus
thorough
literature
survey
conducted
in
this
more
than
280
publications
have
reviewed,
with
focus
on
robotics
pandemic.
main
contribution
answer
two
questions,
i.e.
1)
what
contributions
are
combat
perspective,
2)
promising
supporting
technologies
needed
after
help
guide
future
research.
current
achievements
reviewed
discussed
different
categories,
followed
by
identification
representative
work's
technology
readiness
level.
trends
essential
then
highlighted,
including
artificial
intelligence,
5
G,
big
data,
wireless
sensor
network,
human-robot
collaboration.
IEEE/CAA Journal of Automatica Sinica,
Journal Year:
2022,
Volume and Issue:
10(2), P. 330 - 350
Published: Nov. 28, 2022
Three-way
decision
(T-WD)
theory
is
about
thinking,
problem
solving,
and
computing
in
threes.
Behavioral
making
(BDM)
focuses
on
effective,
cognitive,
social
processes
employed
by
humans
for
choosing
the
optimal
object,
of
which
prospect
regret
are
two
widely
used
tools.
The
hesitant
fuzzy
set
(HFS)
captures
a
series
uncertainties
when
it
difficult
to
specify
precise
membership
grades.
Guided
principles
three-way
decisions
as
thinking
threes
integrating
these
three
topics
together,
this
paper
reviews
examines
advances
behavioral
(TW-BDM)
with
information
systems
(HFIS)
from
perspective
past,
present,
future.
First,
we
provide
brief
historical
account
present
basic
formulations.
Second,
summarize
latest
development
trends
examine
number
issues,
such
one-sidedness
reference
points
subjective
randomness
result
values,
then
report
results
comparative
analysis
existing
methods.
Finally,
point
out
key
challenges
future
research
directions.
Complex & Intelligent Systems,
Journal Year:
2021,
Volume and Issue:
7(5), P. 2469 - 2484
Published: June 18, 2021
Abstract
Medical
services
inevitably
generate
healthcare
waste
(HCW)
that
may
become
hazardous
to
staffs,
patients,
the
population,
and
atmosphere.
In
most
of
developing
countries,
HCW
disposal
management
has
one
fastest-growing
challenges
for
urban
municipalities
providers.
Determining
location
centers
is
a
relatively
complex
process
due
involvement
various
alternatives,
criteria,
strict
government
guidelines
about
HCW.
The
objective
paper
introduce
WASPAS
(weighted
aggregated
sum
product
assessment)
method
with
Fermatean
fuzzy
sets
(FFSs)
selection
problem.
This
combines
score
function,
entropy
measure,
classical
approach
within
FFSs
context.
Next,
combined
procedure
using
function
proposed
estimate
criteria
weights.
To
do
this,
novel
its
desirable
properties
some
measures
are
introduced
under
Further,
an
illustrative
case
study
problem
on
established,
which
evidences
practicality
efficacy
developed
approach.
Comparative
discussion
sensitivity
analysis
made
monitor
permanence
framework.
final
results
approve
methodology
can
effectively
handle
ambiguity
inaccuracy
in
decision-making
selection.
IEEE Transactions on Intelligent Transportation Systems,
Journal Year:
2021,
Volume and Issue:
23(12), P. 25106 - 25114
Published: Sept. 29, 2021
The
purposes
are
to
explore
the
effect
of
Digital
Twins
(DTs)
in
Unmanned
Aerial
Vehicles
(UAVs)
on
providing
medical
resources
quickly
and
accurately
during
COVID-19
prevention
control.
feasibility
UAV
DTs
control
is
analyzed.
Deep
Learning
(DL)
algorithms
introduced.
A
information
forecasting
model
constructed
based
improved
AlexNet,
whose
performance
analyzed
through
simulation
experiments.
As
end-users
task
proportion
increase,
proposed
can
provide
smaller
transmission
delays,
lesser
energy
consumption
throughput
demand,
shorter
completion
time,
higher
resource
utilization
rate
under
reduced
power
than
other
state-of-art
models.
Regarding
accuracy,
errors
better
accuracy
Signal-to-Noise
Ratio
(SNR),
bit
quantizer,
number
pilots,
pilot
pollution
coefficient,
different
antennas.
Specifically,
its
reaches
95.58%
velocity
stabilizes
at
about
35
Frames-Per-Second
(FPS).
Hence,
has
stronger
robustness,
making
more
accurate
forecasts
while
minimizing
data
errors.
research
results
reference
precise
input
for
IEEE Transactions on Fuzzy Systems,
Journal Year:
2022,
Volume and Issue:
30(12), P. 5361 - 5375
Published: May 23, 2022
In
real
world,
a
typical
decision-making
problem
in
the
medical
field
can
be
seen
as
an
uncertain
hesitant
fuzzy
multiattribute
when
existing
experiences
of
decision-makers
are
insufficient.
A
three-way
decision
model
is
effective
tool
to
deal
with
problems,
which
realize
classification
objects.
However,
different
psychological
behaviors
likely
affect
results
actual
processes.
order
address
this
challenge,
we
first
propose
regret-theory-based
environments,
mainly
combines
regret
theory
sets
calculate
perceived
utility
value
Second,
since
one
core
ingredients
for
regret–rejoice
function,
put
forward
new
function
that
preserves
original
indecisive
uncertainty
environments.
addition,
according
inherent
relationship
used
data,
article
provides
method
based
on
preference
ranking
organization
enrichment
evaluations
I
method.
Finally,
practicability,
rationality,
and
superiority
proposed
shown
via
case
analysis
comparative
field.
