PLoS ONE,
Год журнала:
2024,
Номер
19(8), С. e0307381 - e0307381
Опубликована: Авг. 23, 2024
Big
data
pertains
to
extensive
and
intricate
compilations
of
information
that
necessitate
the
implementation
proficient
cost-effective
evaluation
analysis
tools
derive
insights
support
decision
making.
The
Fermatean
fuzzy
set
theory
possesses
remarkable
capability
in
capturing
imprecision
due
its
capacity
accommodate
complex
ambiguous
problem
descriptions.
This
paper
presents
study
concepts
dynamic
ordered
weighted
aggregation
operators
context
environment.
In
numerous
practical
making
scenarios,
term
"dynamic"
frequently
denotes
obtaining
decision-relevant
at
various
time
intervals.
this
study,
we
introduce
two
novel
operators:
averaging
geometric
operators.
We
investigate
attributes
these
detail,
offering
a
comprehensive
description
their
salient
features.
present
step-by-step
mathematical
algorithm
for
scenarios
proposed
methodologies.
addition,
highlight
significance
approaches
by
presenting
solution
determining
most
effective
big
analytics
platform
YouTube
analysis.
Finally,
perform
thorough
comparative
assess
effectiveness
suggested
comparison
variety
existing
techniques.
Frontiers in Energy Research,
Год журнала:
2024,
Номер
11
Опубликована: Янв. 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,
Год журнала:
2024,
Номер
10(6), С. e27548 - e27548
Опубликована: Март 1, 2024
Aggregation
operators
(AOs)
are
well-known
and
efficient
mathematical
tools
that
utilized
to
overcome
the
impact
of
imprecise
vague
information
during
aggregation
process.
The
theoretical
concepts
Aczel
Alsina
expressions
an
extension
triangular
norms
become
a
hot
research
topic
in
environment
fuzzy
framework.
power
provide
smooth
approximation
used
mitigate
influence
redundant
or
insufficient
on
attributes
criteria.
Some
robust
approaches
developed
by
combining
two
different
theories,
like
tools.
This
article
aims
explore
theory
picture
sets
(PFSs),
extended
version
sets,
intuitionistic
sets.
operations
also
present
light
environment.
We
established
class
new
methodologies
information,
including
weighted
average
(PFAAPWA)
ordered
(PFAAPOWA)
operators.
appropriate
approach
geometric
(PFAAPWG)
(PFAAPOWG)
Notable
properties
characteristics
proposed
demonstrated.
Our
invented
not
only
aggregate
complicated
but
can
clearly
define
interrelationships
among
several
arguments.
Moreover,
we
establish
algorithm
for
multi-attribute
group
decision-making
(MAGDM)
problem
handle
human
opinions.
Finally,
study
experimental
case
evaluate
optimal
option
from
available
options.
To
reveal
consistency
effectiveness
approaches,
changing
various
parametric
values
comparative
comparing
results
existing
approaches.
Journal of Marine Science and Engineering,
Год журнала:
2025,
Номер
13(1), С. 165 - 165
Опубликована: Янв. 18, 2025
Steel
cargo
vessel
sinking
accidents
(SCVSA)
threaten
maritime
safety
and
disrupt
global
steel
supply
chains.
This
study
integrates
interpretive
structural
modeling
(ISM)
fuzzy
Bayesian
networks
(FBN)
to
evaluate
SCVSA
risks
across
the
incident
lifecycle.
ISM
identifies
hierarchical
relationships
among
multifaceted
risk
factors.
FBN
assesses
lifecycle
using
scoring,
modular
nodes,
a
structure,
with
muti-source
data
drawn
from
accident
reports,
expert
opinions,
research
studies.
Experts
estimate
probabilities
based
on
observations
causal
scenarios
involving
vessels
at
Shanghai
Port.
The
ISM–FBN
framework
visualizes
factors
incorporates
uncertainty
in
through
updates,
probability
learning.
approach
provides
robust
adaptable
tool
for
assessing
risks,
advancing
assessment
methodologies.
Key
findings
identify
advanced
age,
severe
weather
sea
conditions,
inadequate
regulatory
oversight
as
primary
root
causes.
Poor
loading
stowage
practices
are
direct
contributors.
Intermediate
deeper
surface
layers
flow
shipping
companies
crew
further
environmental
conditions.
Multi-stage
include
emergency
responses
improper
securing.
To
mitigate
these
actionable
insights
provided,
including
fleet
modernization,
enhanced
compliance,
training,
improved
preparedness.
Heliyon,
Год журнала:
2024,
Номер
10(7), С. e28383 - e28383
Опубликована: Март 26, 2024
This
article
presents
a
novel
study
of
spherical
fuzzy
sets
(SFSs),
more
comprehensive
framework
intuitionistic
and
picture
sets.
The
SFS
allows
the
decision-makers
(DMs)
to
cope
with
complicated
insufficient
information
during
aggregation
process.
Heronian
mean
(HrM)
model
theory
is
also
utilized
express
correlation
among
different
input
arguments
or
characteristics.
Recently,
Aczel
Alsina
triangular
norms
gained
lot
attention
from
various
research
scholars
has
many
capabilities
provide
smooth
approximations
decision
analysis.
In
this
article,
we
developed
some
appropriate
operations
t-norms
t-conorms
in
light
(SF)
information.
We
develop
new
mathematical
ways
look
at
SF
data
keep
clarity
sufficient
These
are
(SFAAHrM)
weighted
(SFAAWHrM)
operators.
Furthermore,
present
list
strategies
based
on
operations,
such
as
geometric
(SFAAGHrM)
(SFAAWGHrM)
Some
notable
properties
characterized
show
validity
effectiveness
our
derived
approaches.
Considering
strategies,
an
algorithm
for
multiple
attribute
decision-making
(MADM)
problem
established
resolve
real-life
applications.
A
numerical
example
compatibility
approaches
provides
solid
mechanism
improve
performance
educational
institutes.
comparison
technique
demonstrated
applicability
consistency
diagnosed
by
contrasting
findings
pioneered
existing
methodologies.
AIMS Mathematics,
Год журнала:
2025,
Номер
10(1), С. 460 - 498
Опубликована: Янв. 1, 2025
<p>Solid
waste
management
(SWM)
protects
public
health,
the
environment,
and
limited
resources
in
densely
populated
urbanized
countries
such
as
Singapore.
This
work
presents
an
advanced
framework
for
optimizing
SWM
using
mathematical
models
decision-making
techniques,
including
circular
$
q
$-rung
orthopair
fuzzy
set
(C$
$-ROFS)
data,
combined
with
Choquet
integral
(CI)
logarithmic
percentage
change-driven
objective
weighting
(LOPCOW)
methods,
enhanced
by
aggregation
operators
(AOs)
Einstein
weighted
averaging
$-ROFECIWA)
geometric
$-ROFECIWG)
operators.
By
conducting
a
systematic
evaluation,
these
methods
classified
different
alternatives
to
SWM,
evaluating
them
according
criteria
their
environmental
impact,
cost-effectiveness,
reduction
efficiency,
feasibility
of
implementation,
health
safety,
acceptance.
The
C$
$-ROFECIWA
$-ROFECIWG
perform
better
than
previous
approaches
effective
multifaceted
dynamic
scenarios.
comparison
study
demonstrates
that
integration
LOPCOW
offers
conclusions
are
more
reliable
sustainable.
conducted
Singapore
successfully
finds
most
feasible
emphasizes
possibility
implementing
environmentally
sustainable
practices
urban
environment.
research
practical
insights
policymakers
need
improve
enhance
various
environments.</p>
