Assessing the Sustainable Blockchain-Metaverse-IoT Platform in the Healthcare Industry: An Intelligent Decision Support Model
Abstract
Healthcare
services
must
fulfill
patients’
desires
for
secure
data
sharing
and
high
accessibility.
Blockchain
technology,
through
blockchain
platforms
(BPs),
can
overcome
healthcare
challenges.
This
study
develops
a
decision-making
methodology
selecting
the
best
BP,
by
integrating
with
IoT
Metaverse,
proposed
approach
ensures
integrity,
quality,
privacy
security,
sharing,
interoperability.
The
uses
multi-criteria
(MCDM)
to
handle
conflicting
criteria.
Two
MCDM
methods
are
used
in
this
study:
CRiteria
Importance
Through
Intercriteria
Correlation
(CRITIC)
weight
computation,
Ranking
of
Alternatives
Weights
Criterion
(RAWEC)
alternative
ranking.
To
deal
uncertainty,
concept
spherical
fuzzy
sets
(SFSs)
is
utilized,
RAWEC
method
extended
under
SFSs
first
time.
applied
case
new
town
Egypt,
considering
twenty-two
criteria
fifteen
alternatives.
results
show
that
performance
criterion
has
highest
weight,
latency
lowest.
sensitivity
analysis
was
conducted
stability
rank.
A
comparative
performed
effectiveness
methodology.
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Июль 18, 2024
Язык: Английский
