A multi-dimensional sensitivity analysis approach for evaluating the robustness of renewable energy sources in European countries
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
469, P. 143225 - 143225
Published: July 24, 2024
The
necessity
of
making
reliable
decisions
is
exceptionally
important
in
the
field
sustainable
development,
particularly
when
evaluating
management
renewable
energy
sources.
A
thorough
analysis
becomes
imperative
complex
decision
problems
where
various
factors
influence
outcomes.
Multi-Criteria
Decision
Analysis
(MCDA)
methods
have
emerged
as
valuable
tools
for
addressing
such
challenges,
enabling
decision-makers
to
navigate
through
conflicting
criteria
and
make
informed
choices.
Combined
with
sensitivity
approaches,
comprehensive
assessments
can
be
achieved,
ensuring
robustness
decision-making
processes.
To
increase
reliability
results,
different
aspects
input
data
fluctuations
should
examined
provide
a
broader
view
stability
results.
This
paper
proposes
multi-dimensional
approach
assess
source
(RES)
development
selected
European
countries.
By
RES
terms
electricity
consumption
generation,
study
addresses
key
components
development.
It
offers
holistic
perspective
on
result
by
analyzing
five
dimensions:
comparative
four
MCDA
methods,
varying
weights
scenarios,
probabilistic
modifications,
relevance
identification,
ranking
stability.
enhances
providing
insights
policymakers
prioritizing
technologies.
provided
open-source
implementation
promotes
transparency
accessibility
support
systems.
Language: Английский
An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals
Environmental Science & Policy,
Journal Year:
2024,
Volume and Issue:
162, P. 103913 - 103913
Published: Oct. 7, 2024
Language: Английский
Sustainable forest resources management model through Pythagorean fuzzy MEREC–MARCOS approach
Environment Development and Sustainability,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 3, 2024
Language: Английский
Fermatean fuzzy distance and Sugeno–Weber operators-based SPC-MARCOS approach for sustainable supplier evaluation in the healthcare supply chain
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 9, 2024
The
present
work
proposes
a
new
decision
support
tool
for
assessing
the
sustainable
suppliers
in
healthcare
supply
chain.
For
this
purpose,
classical
Measurement
of
Alternatives
and
Ranking
according
to
Compromise
Solution
(MARCOS)
model
is
integrated
with
Sugeno-Weber
weighted
averaging
operators,
modified
symmetry
point
criterion
(SPC)
model,
rank
sum
(RS)
Fermatean
fuzzy
sets
(FFSs),
named
as
'FF-SPC-RS-MARCOS'
framework.
developed
firstly
determines
experts'
weights
through
RS
model.
Second,
novel
operators
are
introduced
combine
opinions.
Third,
unified
weighting
procedure
presented
based
on
combination
SPC
approach
objective
weight
method
subjective
attributes.
To
aim,
distance
measure
FFSs
further
applied
compute
between
aggregated
numbers
value
an
attribute
approach.
Further,
hybrid
FF-SPC-RS-MARCOS
proposed
tackle
decision-making
problems
setting.
elucidate
efficacy
method,
it
case
study
supplier
selection
problem
paper
conducts
sensitivity
investigation
comparison
existent
approaches
test
stability
robustness
ranking
outcomes.
This
shows
how
MARCOS
models
can
be
used
prioritize
alternative
provides
methodology,
which
help
practitioners
academics
evaluate
uncertain
information
also
employed
other
areas
facing
similar
types
problems.
Language: Английский