IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 117403 - 117422
Published: Jan. 1, 2023
We
introduce
the
concept
of
spherical
fuzzy
neutral
aggregation
operators
by
utilizing
addition
and
scalar
multiplication
operational
laws.Spherical
set
(SFS)
is
an
effective
tool
for
handling
cognitive
uncertainty
in
decision-making
(DMg),
operations
are
particularly
useful
capturing
biased
preferences
decision-makers
(DMs).In
this
context,
primary
aim
study
to
innovate
novel
laws
their
associated
operators.Therefore,
main
contribution
manuscript
development
several
(NAOs)
based
on
SFS,
including
weighted
(SFWNA)
operator,
ordered
(SFOWNA)
hybrid
(SFHNA)
operator.These
NAOs
specifically
designed
multi-attribute
group
(MAGDM)
algorithm.In
order
showcase
efficacy
proposed
algorithm,
we
implemented
it
context
selecting
a
suitable
site
olive
tree
plantation
Punjab
province
Pakistan.The
algorithm
successfully
evaluated
various
locations
(alternatives)
considered
criteria.The
results
illustrate
flexibility,
consideration
interaction
coefficients,
desirable
characteristics,
applicability
MAGDM,
effectiveness
AOs
DMg
scheme.These
outcomes
provide
valuable
insights
into
advantages
potential
impact
approach
addressing
real-world
problems
within
environment.Finally,
obtained
were
compared
with
existing
techniques,
confirming
that
suggested
method
produces
valid
reliable
outcomes.
Frontiers in Energy Research,
Journal Year:
2024,
Volume and Issue:
11
Published: Jan. 16, 2024
Solar
power
is
an
alternative
energy
derived
from
the
sun.
more
environmentally
friendly
and
sustainable
than
burning
fossil
fuels
which
releases
harmful
greenhouse
gas
emissions.
Therefore,
this
study
aims
to
evaluate
a
reliable
solar
panel
based
on
certain
characteristics
by
incorporating
theory
of
decision-making
process.
To
serve
goal,
discusses
well-known
aggregation
model
q-rung
orthopair
fuzzy
set,
broader
flexible
environment
sets
intuitionistic
used
handle
unpredictable
information
human
opinions.
The
key
components
article
are
demonstrate
some
realistic
operations
Sugeno–Weber
triangular
norms
considering
information.
These
provide
authentic
estimated
during
We
developed
class
new
operators
using
system,
including
weighted
average
geometric
operators.
Some
special
cases
also
demonstrated
show
compatibility
proposed
methodologies.
An
innovative
approach
multi-attribute
problem
utilized
resolve
different
real-life
applications
various
criteria
or
attributes.
intensity
applicability
approaches,
we
explored
numerical
example
for
efficient
selection
Furthermore,
presented
comprehensive
comparison
technique
compare
findings
existing
methods
with
approaches.
Finally,
research
work
summarized,
future
prospects
discussed.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(5), P. e26997 - e26997
Published: March 1, 2024
The
COVID-19
pandemic
has
caused
a
surge
in
essential
medical
supplies
usage,
leading
to
notable
increase
waste
generation.
Consequently,
extensive
research
focused
on
sustainable
disposal
methods
handle
used
equipment
safely.
Given
the
necessity
evaluate
these
considering
qualitative
and
quantitative
criteria,
this
falls
within
realm
of
multi-criteria
decision-making
(MCDM).
This
study
introduces
framework
for
selecting
most
suitable
treatment
methods,
taking
into
account
economic,
technological,
environmental,
social
aspects.
Sixteen
criteria
were
assessed
using
Fuzzy
Preference
Selection
Index
(F-PSI)
determine
optimal
approach.
Additionally,
Compromise
Ranking
Alternatives
from
Distance
Ideal
Solution
(F-CRADIS)
method
was
employed
nine
technologies
disposal.
Notably,
disinfection
efficiency
emerged
as
crucial
criterion,
with
autoclaving
identified
preferred
treatment.
A
practical
case
conducted
Sivas,
Turkey,
validates
feasibility
strategies.
Multiple
sensitivity
analyses
performed
ensure
stability
reliability
proposed
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(19), P. 14135 - 14135
Published: Sept. 24, 2023
Few
studies
have
examined
the
cross-sectoral
impacts
of
electric
vehicles
on
economy,
energy,
and
environment.
This
study
adopted
hybrid
vehicles,
plug-in
pure-battery
as
research
objects
in
establishing
an
input–output
analysis
framework
electric-vehicle
industry.
Learning
curves
scenario
were
also
used
to
explore
economic–energy–environmental
promotion,
using
Taiwan
a
case
study.
Our
results
indicated
that
by
2040,
will
create
output
value
157~186.7
billion
NTD,
while
boosting
employment
reducing
energy
expenditures
but
having
negligible
impact
income.
It
is
expected
adoption
reduce
consumption
65~82%
levels
required
for
internal-combustion
engines.
Electric
are
CO2
NOX
emissions
increase
PM2.5
emissions,
with
little
effect
SOX
emissions.
Technological Forecasting and Social Change,
Journal Year:
2024,
Volume and Issue:
206, P. 123556 - 123556
Published: July 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
