Computer Modeling in Engineering & Sciences,
Год журнала:
2023,
Номер
138(3), С. 2845 - 2872
Опубликована: Ноя. 30, 2023
Hydrogen
is
the
new
age
alternative
energy
source
to
combat
demand
and
climate
change.Storage
of
hydrogen
vital
for
a
nation's
growth.Works
literature
provide
different
methods
storing
produced
hydrogen,
rational
selection
viable
method
crucial
promoting
sustainability
green
practices.Typically,
storage
associated
with
diverse
sustainable
circular
economy
(SCE)
criteria.As
result,
authors
consider
situation
multi-criteria
decision-making
(MCDM)
problem.Studies
infer
that
previous
models
(HSM)
(i)
do
not
preferences
in
natural
language
form;
(ii)
weights
experts
are
methodically
determined;
(iii)
hesitation
during
criteria
weight
assessment
effectively
explored;
(iv)
three-stage
solution
suitable
HSM
unexplored.Driven
by
these
gaps,
this
paper,
put
forward
integrated
framework,
which
considers
double
hierarchy
linguistic
information
rating,
importance
through
inter-criteria
correlation
(CRITIC)
expert
calculation,
evidence-based
Bayesian
estimation,
combined
compromise
(CoCoSo)
ranking
HSMs.The
applicability
developed
framework
testified
using
case
example
India.Sensitivity
comparative
analysis
reveal
merits
limitations
framework.
Journal of Intelligent & Fuzzy Systems,
Год журнала:
2024,
Номер
46(2), С. 3677 - 3700
Опубликована: Фев. 6, 2024
Quality
function
deployment
(QFD)
is
a
customer-driven
product
development
technique
that
converts
customer
requirements
(CRs)
into
design
attributes
(DAs)
of
and
service.
Nevertheless,
in
real
situations,
the
traditional
QFD
method
has
been
found
possesses
some
deficiencies,
such
as
accuracy
assessment
relationships
between
CRs
DAs,
inter-relationships
among
DAs.
To
fill
above
gaps,
this
study
develops
new
approach
by
CoCoSo-based
ranking
under
Pythagorean
fuzzy
environment.
begin
with,
an
extended
decision-making
trial
evaluation
laboratory
(DEMATEL)
proposed
to
identify
within
Second,
aggregation
weighted
average
objective
penalty
are
propounded
construct
programming
models
for
calculating
importance
DAs
setting.
Third,
triangular
numbers
(PTrFNs)
obtain
Lastly,
case
regarding
“Ping
An
Health”
mobile
medical
App
carried
out
verify
effectiveness
superiority
approach.
The
results
show
top
DA
perceptibility.
Therefore,
perceptibility
should
be
focus
on
firstly
design,
system
fluency,
interface
comfort
network
stability.
Additionally,
can
express
experts’
hesitant
information,
deal
with
interrelations
yield
more
precise
rankings
QFD.
Discrete Dynamics in Nature and Society,
Год журнала:
2023,
Номер
2023, С. 1 - 14
Опубликована: Июнь 3, 2023
Strategic
management
has
applications
in
many
areas
of
social
life.
One
the
basic
steps
process
strategic
is
formulating
a
strategy
by
choosing
optimal
strategy.
Improving
selecting
with
MCDM
methods
and
theories
that
treat
uncertainty
well
this
process,
as
application
other
different
selection
criteria,
idea
goal
research.
The
improvement
aforementioned
defense
system
was
carried
out
applying
hybrid
model
multicriteria
decision-making
based
on
defining
interrelationships
between
ranked
criteria
(DIBR)
multiattributive
ideal-real
comparative
analysis
(MAIRCA)
modified
triangular
fuzzy
numbers–“DIBR–DOMBI–Fuzzy
MAIRCA
model.”
DIBR
method
used
to
determine
weight
coefficients
while
strategy,
from
set
offered
methods,
method.
This
done
environment
aim
better
treatment
imprecise
information
translation
quantitative
data
into
qualitative
data.
In
research,
an
model’s
sensitivity
changes
performed.
Additionally,
comparison
obtained
results
using
conducted,
which
validated
confirmed
stable
results.
end,
it
concluded
proposed
methodology
can
be
for
system,
are
valid,
been
improved
making
choice
easier
decision
makers
new
more
comprehensive
selection.
Informatica,
Год журнала:
2023,
Номер
unknown, С. 65 - 98
Опубликована: Ноя. 23, 2023
Cloud
computing
has
emerged
as
a
transformative
technology
in
the
healthcare
industry,
but
selecting
most
suitable
CV
(“cloud
vendor”)
remains
complex
task.
This
research
presents
decision
framework
for
selection
addressing
challenges
of
uncertainty,
expert
hesitation,
and
conflicting
criteria.
The
proposed
incorporates
FFS
(“Fermatean
fuzzy
set”)
to
handle
uncertainty
data
representation
effectively.
importance
experts
is
attained
via
variance
approach,
which
considers
hesitation
variability.
Furthermore,
addresses
issue
extreme
value
hesitancy
criteria
through
LOPCOW
(“logarithmic
percentage
change-driven
objective
weighting”)
method,
ensures
balanced
accurate
assessment
criterion
importance.
Personalized
grading
CVs
done
ranking
algorithm
that
formulation
CoCoSo
(“combined
compromise
solution”)
with
rank
fusion,
providing
solution
balances
By
integrating
these
techniques,
aims
enhance
rationale
reduce
human
intervention
industry.
Also,
valuable
insights
are
gained
from
making
informed
decisions
when
efficient
management
process
implementation.
A
case
example
Tamil
Nadu
presented
testify
applicability,
while
sensitivity
comparison
analyses
reveal
pros
cons
framework.
UNSTRUCTURED
Amidst
the
COVID-19
pandemic,
proliferation
of
misinformation
on
social
media,
termed
"infodemic,"
has
complicated
global
health
responses.
This
study
aims
to
identify
research
trends
and
inform
-making
in
context
this
challenge.
paper
synthesizes
key
areas
scholarly
investigation
into
infodemic,
both
within
China
internationally,
guide
public
strategies
management
sentiment.
By
employing
a
bibliometric
approach,
utilizing
Citespace
software,
we
conducted
visual
analysis
literature,
focusing
publication
trends,
citation
frequencies,
keyword
clusters.
After
analysis，the
results
reveal
distinct
focal
points
priorities
Chinese
international
scholars.
International
studies
often
focus
machine
learning
psychology,
while
tends
address
information
control
safeguarding.
Common
ground
is
found
interest
preventing
spread
misinformation.
While
literature
abounds,
cross-national
systematic
reviews
are
limited.
fills
gap
through
comparative
analysis,
offering
valuable
insights
for
management,
media
communication,
administration,
thus
charting
new
directions
future
research.
Management & Marketing,
Год журнала:
2025,
Номер
20(1), С. 15 - 34
Опубликована: Март 1, 2025
Abstract
The
coronavirus
disease
2019
(COVID-19)
pandemic,
while
primarily
a
global
health
crisis,
also
triggered
an
infodemic
–
surge
of
information
ranging
from
accurate
to
misleading,
significantly
shaping
public
perceptions
and
behaviors
through
social
networks.
This
study
analyzes
the
COVID-19
in
Romania
using
media
datasets
CrowdTangle,
integrating
text
analysis,
sentiment
network
analysis
examine
pandemic-related
discourse,
identify
key
themes,
trace
spread
various
types
information.
findings
provide
insights
into
how
influenced
collective
responses,
offering
strategies
for
managing
flow
during
crises.
highlights
crucial
role
awareness
underscores
need
effective
communication
counter
misinformation
improve
understanding
future
emergencies.
