International Journal of Fuzzy System Applications,
Год журнала:
2025,
Номер
14(1), С. 1 - 26
Опубликована: Фев. 21, 2025
The
evaluation
of
marine
environmental
concealment
is
crucial
for
underwater
activities.
Traditional
assessment
methods
do
not
fully
leverage
risk
indicators
and
expert
experience.
To
address
this,
this
paper
proposes
a
model
based
on
2-additive
piecewise
linear
Choquet
integral.
This
combines
the
fuzzy
measure
to
aggregate
utility
values
various
indicators,
integrating
both
opinions
objective
data,
while
also
considering
nonlinear
interactions
between
indicators.
Verification
using
real
ocean
data
preferences
shows
that
depth
grid
seabed
terrain
have
most
significant
impact
concealment,
interaction
temperature
gradient,
salinity
current
positively
correlated.
offers
theoretical
contribution
demonstrates
advantages
integral
method
in
handling
complex,
multi-factor
evaluations,
with
practical
application
value.
Journal of Environmental Management,
Год журнала:
2024,
Номер
353, С. 120105 - 120105
Опубликована: Фев. 1, 2024
Food
waste
has
received
wide
attention
due
to
its
hazardous
environmental
effects,
such
as
soil,
water,
and
air
pollution.
Evaluating
food
treatment
techniques
is
imperative
realize
sustainability.
This
study
proposes
an
integrated
framework,
the
complex
q-rung
orthopair
fuzzy-generalized
TODIM
(an
acronym
in
Portuguese
for
interactive
multi-criteria
decision-making)
method
with
weighted
power
geometric
operator,
assess
appropriate
technique
waste.
The
assessment
of
can
be
divided
into
three
phases:
information
processing,
fusion,
ranking
alternatives.
Firstly,
fuzzy
set
flexibly
describes
periodic
characteristics
processing
process
various
parameters
q.
Then,
operator
employed
calculate
weight
expert
form
group
evaluation
matrix,
which
each
input
rating
depends
upon
other
ratings.
It
simulate
mutual
support,
multiplicative
preferences,
interrelationship
experts.
Next,
generalized
rank
techniques,
considering
experts’
psychological
bounded
behavior.
Subsequently,
a
real-world
application
case
examines
practicability
proposed
framework.
Furthermore,
sensitivity
analysis
verifies
validity
stability
presented
comparative
highlights
effectiveness
this
framework
using
existing
frameworks.
According
result,
Anaerobic
digestion
(0.0043)
highest
priority
among
considered
alternatives,
while
Incineration
(−0.0009)
lowest.
Complex & Intelligent Systems,
Год журнала:
2023,
Номер
9(5), С. 5359 - 5376
Опубликована: Март 20, 2023
Interval-valued
Fermatean
fuzzy
sets
(IVFFSs)
were
introduced
as
a
more
effective
mathematical
tool
for
handling
uncertain
information
in
2021.
In
this
paper,
firstly,
novel
score
function
(SCF)
is
proposed
based
on
IVFFNs
that
can
distinguish
between
any
two
IVFFNs.
And
then,
the
SCF
and
hybrid
weighted
measure
used
to
construct
new
multi-attribute
decision-making
(MADM)
method.
Besides,
three
cases
are
demonstrate
our
method
overcome
disadvantages
existing
approaches
cannot
obtain
preference
orderings
of
alternatives
some
circumstances
involves
existence
division
by
zero
error
decision
procedure.
Compared
with
MADM
methods,
approach
has
highest
recognition
index
lowest
rate
zero.
Our
provides
better
dealing
problem
interval-valued
environment.
Artificial Intelligence Review,
Год журнала:
2024,
Номер
57(2)
Опубликована: Фев. 9, 2024
Abstract
This
paper
advances
the
field
of
multi-attribute
group
decision
making
(MAGDM)
by
proposing
a
novel
framework
based
on
interval-valued
q-rung
dual
hesitant
fuzzy
sets
(IVq-RDHFSs).
IVq-RDHFSs,
which
surpass
most
existing
sets,
effectively
represent
complex
information
describing
membership
and
non-membership
degrees
through
interval
value
sets.
However,
prior
MAGDM
methods
IVq-RDHFSs
have
been
limited
functions
operation
rules
aggregation
operators
(AOs).
limitation
is
addressed
construction
new
framework,
leveraging
robust
Frank
t-norm
t-conorm
(FTT)
extended
power
average
(EPA)
operator.
The
proposed
features
weighted
(IVq-RDHFFWEPA)
operator
to
obtain
comprehensive
evaluation
values.
also
introduces
techniques
for
determining
weights
decision-makers
attributes.
Practical
applications
method
are
demonstrated
assessment
desalination
technology
selection
rural
green
eco-tourism
projects.
Sensitivity
comparison
analyses
validate
superior
functionality,
accuracy,
flexibility
this
compared
many
state-of-the-art
methods.
contributions
two-fold:
it
develops
efficient
measurement
such
as
distance
weight
calculation,
integrating
FTT
EPA
under
improves
efficiency
solving
decision-making
problems.
Energy and Built Environment,
Год журнала:
2023,
Номер
5(3), С. 480 - 491
Опубликована: Март 24, 2023
With
the
existence
of
several
conventional
and
advanced
building
thermal
energy
demand
forecast
models
to
improve
efficiency
buildings,
it
is
hard
find
an
appropriate,
convenient,
efficient
model.
Evaluations
based
on
statistical
indexes
(MAE,
RMSE,
MAPE,
etc.)
that
characterize
accuracy
forecasts
do
not
help
in
identification
tool
since
they
reflect
efforts
entailed
implementation
model,
i.e.,
data
collection
production/use
phase.
Hence,
this
work
presents
a
Gini
Index
Measurement
Alternatives
Ranking
according
COmpromise
Solution
(GI-MARCOS),
hybrid
Multi
Attribute
Decision
Making
(MADM)
approach
for
most
tool.
GI-MARCOS
employs
(i)
GI
objective
weight
method:
assigns
meaningful
weights
attributes
four
phases
(1:
pre-processing,
2:
implementation,
3:
post-processing,
4:
use
phase)
thereby
avoiding
unnecessary
biases
expert's
opinion
applicable
domains
where
there
lack
domain
expertise,
(ii)
MARCOS:
provides
robust
reliable
ranking
alternatives
dynamic
environment.
A
case
study
with
three
evaluated
over
six
(pre-processing,
post-processing
use)
reveals
improved
MLR
BM
by
6%
13%,
respectively.
Moreover,
additional
validations
state
performs
best
Phase
1
2,
while
ANN
3
4
providing
mediocre
performance
all
phases,
sensitivity
analysis:
interchange
across
attributes,
(iii)
rank
correlation:
ranks
produce
has
high
correlation
GRA
(0.999),
COPRAS
(0.9786),
ARAS
(0.9775).
