Machines,
Год журнала:
2023,
Номер
12(1), С. 5 - 5
Опубликована: Дек. 20, 2023
Three-dimensional
printers
(3DPs),
as
critical
parts
of
additive
manufacturing
(AM),
are
state-of-the-art
technologies
that
can
help
practitioners
with
digital
transformation
in
production
processes.
printer
performance
mostly
depends
on
good
integration
artificial
intelligence
(AI)
to
outperform
humans
overcoming
complex
tasks
using
3DPs
equipped
AI
technology,
particularly
producing
an
object
no
smooth
surface
and
a
standard
geometric
shape.
Hence,
also
provide
opportunity
improve
engineering
applications
As
result,
AM
create
more
sustainable
systems,
protect
the
environment,
reduce
external
costs
arising
from
industries’
activities.
Nonetheless,
do
not
have
sufficient
willingness
since
this
kind
processes
is
crucial
irrevocable
decision
requiring
vast
knowledge
experience.
Thus,
presenting
methodological
frame
roadmap
may
decision-makers
take
responsibility
for
accelerating
The
current
study
aims
fill
literature’s
theoretical
managerial
gaps.
Therefore,
it
suggests
powerful
efficient
model
solving
3DP
selection
problems
industries.
suggested
hybrid
FF
combines
Fermatean
Fuzzy
Stepwise
Weight
Assessment
Ratio
Analysis
(FF–SWARA)
Ranking
Alternatives
through
Functional
mapping
criterion
sub-intervals
into
Single
Interval
(FF–RAFSI)
approaches.
novel
framework
employed
solve
problem
encountered
automobile
industry
two
related
case
studies.
In
addition,
criteria
identified
categorized
regarding
their
influence
degrees
group
approach
based
extended
form
Delphi
aid
fuzzy
sets.
According
conclusions
analysis,
“Accuracy”
“Quality”
most
effective
measures.
Also,
its
outcomes
were
tested
by
executing
robustness
validation
checks.
results
analyses
prove
integrated
robust
practical
decision-making
tool.
Financial Innovation,
Год журнала:
2024,
Номер
10(1)
Опубликована: Янв. 11, 2024
Abstract
The
risk
profiles
of
investors
play
an
important
role
in
the
success
derivative
products
investments.
It
is
also
necessary
to
determine
appropriate
investor
profile
according
conditions
a
country.
This
protects
from
major
losses.
Therefore,
there
strong
need
for
new
study
that
analyzes
emerging
economies.
aims
identify
most
instruments
constructs
novel
decision-making
model.
In
this
model,
facial
action
coding
system,
quantum
theory,
spherical
fuzzy
sets,
and
multi-stepwise
weight
assessment
ratio
analysis
(M-SWARA)
methodology
are
integrated
minimize
uncertainty
process.
First,
three
main
participants
derivatives
financial
technology
evaluated
using
M-SWARA
technique.
After
that,
seven
economies
ranked
based
on
performance
technique
order
preference
by
similarity
ideal
solution.
contribution
identified
investments
One
originalities
development
called
making
some
improvements
classical
stepwise
method.
concluded
hedging
purpose
China
has
greatest
among
regarding
For
effective
management
problem
these
countries,
it
recommended
prevent
speculative
use
with
legal
regulations.
Borsa Istanbul Review,
Год журнала:
2022,
Номер
22(6), С. 1145 - 1157
Опубликована: Окт. 17, 2022
This
study
aims
to
identify
critical
factors
of
the
sustainability
index
(SI)
and
evaluate
industries
listed
in
stock
exchange
based
on
performance
this
index.
For
purpose,
a
new
fuzzy
decision-making
model
has
been
created.
Firstly,
12
different
criteria
for
SI
are
weighted
by
decision
using
trial
evaluation
laboratory
(DEMATEL)
methodology
quantum
spherical
sets
(QFS)
with
golden
cut.
Secondly,
performances
10
industry
alternatives
ranked
extended
technique
order
preference:
according
similarity
through
an
ideal
solution
(TOPSIS)
QFS.
The
main
novelty
is
significant
companies
join
original
methodology.
analysis
results
help
act
without
incurring
extreme
costs.
It
determined
that
usage
renewable
energy
impact
all
other
criteria,
while
clean
energy,
get
chance
improve
SI.
Additionally,
weighting
results,
use
most
criterion
be
included
Similarly,
recovery
resources
also
contribution.
Finally,
ranking
indicate
communication
IT
successful
Hence,
it
would
appropriate
businesses
attach
importance
energy.
In
way,
carbon
emission
problem
minimized,
image
will
rise
eyes
both
consumers
investors.
framework,
can
microgrid
management
systems
handle
high-cost
problems
investment
projects.
Owing
applications,
costs
shared
companies,
since
situation
reduce
cost
per
unit,
possible
increase
IEEE Transactions on Engineering Management,
Год журнала:
2024,
Номер
71, С. 7681 - 7700
Опубликована: Янв. 1, 2024
Carbon
neutrality
policies
are
of
great
importance
for
the
transportation
sector.
Thus,
some
issues
need
to
be
taken
into
consideration
increase
effectiveness
carbon
in
this
However,
biggest
disadvantage
these
improvements
is
that
they
costs.
Instead
improving
a
large
number
factors,
it
more
financially
feasible
take
action
on
ones
important.
Nevertheless,
there
limited
studies
which
priority
analysis
made
factors
affecting
process.
Therefore,
main
missing
part
literature
new
study
should
weights
variables
determined.
The
purpose
evaluate
industry
with
novel
decision-making
model.
First,
selected
indicators
evaluated
by
quantum
picture
fuzzy
row
sets-based
multi-step
wise
weight
assessment
ratio
(M-SWARA)
technique.
Secondly,
alternatives
ranked.
For
purpose,
multi-objective
optimization
basis
(MOORA)
methodology
considered
sets.
motivation
making
and
comprehensive
reason
behind
situation
most
existing
models
could
not
consider
causal
directions
among
indicators.
Due
situation,
proposed
model
created
using
causality
relationships
between
industry.
contribution
integrating
theory
rough
This
has
positive
make
sensitive
evaluations.
Additionally,
approach
criteria
so
relationship
determinants
can
findings
demonstrate
infrastructure
development
important
factor
effective
Cost
another
critical
indicator
respect.
On
other
hand,
according
ranking
results,
determined
reducing
traditional
fuels
zero-carbon
essential
alternative
transportation.
It
would
appropriate
companies
attach
use
electric
vehicles.
In
context,
government
incentives
vehicles
offered.
example,
tax
reduction
may
as
will
provide
significant
cost
advantage.
Financial Innovation,
Год журнала:
2024,
Номер
10(1)
Опубликована: Фев. 8, 2024
Abstract
The
current
study
evaluates
the
financial
innovation
life
cycle
for
renewable
energy
investments.
A
novel
model
is
proposed
that
has
two
stages.
First,
weighted
by
two-generation
technology
S-curve
(TTSC)
Second,
TTSC
ranked
with
integer
patterns
For
this
purpose,
decision-making
trial
and
evaluation
laboratory
(DEMATEL)
considered
q-rung
orthopair
fuzzy
sets
(q-ROFSs).
comparative
examination
then
performed
using
intuitionistic
Pythagorean
sets,
we
find
similar
results
all
sets.
Hence,
suggested
reliable
coherent.
Maturity
phase
1
most
significant
of
these
projects.
Aging
important
period
in
investment
projects—renewable
companies
should
make
strategic
decisions
after
point.
In
situation,
relate
to
either
radical
or
incremental
innovation.
If
do
not
during
phases,
innovative
products
cannot
be
improved.
As
a
result,
will
prefer
financing
products.
Decision Analytics Journal,
Год журнала:
2024,
Номер
11, С. 100455 - 100455
Опубликована: Апрель 4, 2024
This
study
aims
to
reveal
consumers'
intention
purchase
Electric
Vehicles
(EVs)
based
on
the
Unified
Theory
of
Acceptance
and
Use
Technology
(UTAUT)
model.
A
hybrid
fuzzy
decision-making
model
with
three
stages
is
proposed.
First,
experts'
weights
are
computed
using
an
artificial
intelligence
methodology.
Second,
eight
UTAUT-based
indicators
examined
a
T-Spherical
TOPSIS-based
DEMATEL
(TOP-DEMATEL)
The
criteria
weighted
by
multi-SWARA
(M-SWARA)
Third,
evaluation
conducted
for
seven
emerging
countries
considering
Spherical
Fuzzy
(SF)
Additive
Ratio
Assessment
(ARAS)
technique.
main
contribution
this
that
new
methodology
can
identify
more
significant
determinants
use
EVs.
methodological
integrating
theory.
findings
demonstrate
environmental
factors
play
most
role
in
Additionally,
performance
expectancy
also
another
critical
determinant.
We
find
issues
should
be
given
importance
production
process
Using
fossil
fuels
while
producing
these
vehicles
will
significantly
reduce
users'
confidence.
phenomenon
cause
consumers
awareness
not
vehicles.
