The
aim
and
objective
of
the
thesis
entitled
"Interval-valued
Pythagorean
Fuzzy
Decision-Making
Models
for
Evaluating
Challenges
Digital
Transformation"
are
as
follows:
first
is
to
develop
new
entropy
divergence
measures
handle
uncertainty
under
interval-valued
fuzzy
environment
determine
significance
degree/weight
DT
challenges
manufacturing
systems.
second
a
hybrid
decision-making
models
evaluate
systems
from
perspective.
And
last
propose
comprehensive
framework
digital
transformation
in
sustainable
financial
service
banking
sector.
Engineering Applications of Artificial Intelligence,
Journal Year:
2023,
Volume and Issue:
124, P. 106603 - 106603
Published: June 22, 2023
Climate
change
affects
the
world.
Due
to
excessive
GHG
emissions,
urban
transportation
contributes
this
threat.
Policymakers
and
authorities
want
reduce
transportation-related
emissions.
An
imaginary
area
with
high
greenhouse
gas
dense,
interconnected
modes,
a
population
density
is
considered.
Istanbul,
Turkey
meets
criteria
of
place,
so
case
analysis
considers
city.
Istanbul’s
decision-makers
are
looking
for
effective
strategies
prioritize
climate
policy
alternatives
activities.
Four
alternative
13
presented
in
context.
Innovative
multi-criteria
decision-making
(MCDM)
method
interval-valued
Fermatean
fuzzy
sets
(IVFFSs)
proposed
advantage-prioritization
can
select
most
policies.
Utilizing
IVFFSs,
effectively
tackles
qualitative/quantitative
data
uncertain
information
that
occurs
realistic
applications.
In
study,
firstly
IVFF-heronian
mean
operators
their
desirable
characteristics
aggregate
IVFF
information.
The
overcome
drawbacks
existing
information-based
by
considering
relationships
between
numbers.
Based
on
heronian
operators,
hybrid
framework
integrating
importance
through
inter-criteria
correlation
(CRITIC),
rank
sum
(RS),
double
normalization-based
multi-aggregation
(DNMA)
methods
method,
CRITIC
RS
implemented
derive
objective
subjective
weights
considered
evaluation
DNMA
applied
Sensitivity
comparative
analyses
studies
confirm
framework.
results
show
integration
sectors,
strategies,
innovations
across
different
areas
all
regions
option
has
highest
overall
utility
degree
(0.731)
among
set
four
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(3), P. e23991 - e23991
Published: Jan. 8, 2024
Decision-making
in
real-world
scenarios
faces
uncertainty.
Fuzzy
theory
has
been
a
means
to
represent
such
In
this
study,
we
propose
an
approach
that
incorporates
bipolarity
into
multi-criteria
decision-making
processes
applied
digital
marketing.
The
proposal
considers
both
the
positive
and
negative
dimensions
of
data,
leading
better-informed
decisions.
Our
contribution
integrates
Pythagorean
fuzzy
matrices,
framework
broadens
utility
bipolar
theory.
Through
computational
experimentation,
identify
most
effective
strategy
for
marketing
platforms.
When
compared
existing
techniques,
our
shows
advantages,
underlining
its
potential
improve
uncertain
offering
insights
businesses
refine
their
strategies.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(3), P. e25453 - e25453
Published: Feb. 1, 2024
Multi-criteria
decision-making
(MCDM)
methods
have
been
widely
used
among
researchers
to
provide
a
trade-off
solution
between
best
and
worst,
considering
conflicting
criteria
sets
of
preferences.
An
efficient
systematic
literature
review
these
is
needed
maintain
their
application
in
distinctive
domains.
To
this
end,
paper
presents
comprehensive
survey
on
"multi-objective
optimization
by
ratio
analysis"
(MOORA)
method
its
fuzzy
extensions
developed
discussed
recent
years.
This
includes
articles
categorized
based
the
publication
name,
publishing
year,
journal
type
applications,
extensions.
In
addition,
will
enhance
understanding
practitioners
decision-makers
MOORA
method,
development,
hybridization,
different
areas,
future
work.
The
study
revealed
that
technique
was
predominantly
with
TOPSIS
approach,
followed
AHP
COPRAS
methods.
Furthermore,
76.28
%
use
single
hybridization
approaches
all
studies,
while
23.72
environment.
Systems,
Journal Year:
2023,
Volume and Issue:
11(8), P. 397 - 397
Published: Aug. 2, 2023
Engineering
and
technological
breakthroughs
in
sustainability
play
a
crucial
role
reducing
carbon
emissions.
An
important
aspect
of
this
is
the
active
participation
enterprises
addressing
reduction
as
systemic
approach.
In
response
to
government
incentives
People’s
Republic
China,
Chinese
have
developed
systems
align
their
organizational
goals
with
national
long-term
plans.
This
paper
evaluates
schemes
employed
by
six
companies
multi-criteria
decision-making
(MCDM)
problem.
To
end,
we
propose
new
hybrid
MCDM
method
called
grey-MEREC-MAIRCA
method.
combines
recently
based
on
removal
effects
criteria
(MEREC)
for
weighting
multi-attribute
ideal-real
comparative
analysis
(MAIRCA)
grey
system
theory.
The
proposed
provides
additional
benefit
accounting
uncertainty
decision
making.
Notable
findings
research,
decision-maker
scores,
are
that
control
direct
emissions
energy-saving
efficiency
top
priorities.
contrast,
committing
corporate
social
responsibility
through
public
welfare
information
disclosure
considered
lesser
Furthermore,
ranking
results
obtained
using
compared
those
from
classical
weighted
sum
model
technique
order
preference
similarity
ideal
solution
(TOPSIS),
confirming
selection
best
company.
Despite
limitation
steps
needed
evaluation,
it
opens
up
opportunities
future
research
develop
simpler
methods
under
uncertainty.
