A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 2, 2025
Agriculture
is
a
major
contributor
to
global
greenhouse
gas
emissions,
highlighting
the
urgent
need
for
effective
carbon
reduction
strategies.
This
study
presents
an
innovative
integrated
model
that
employs
Fermatean
Neutrosophic
Set
in
conjunction
with
Weighted
Influence
Nonlinear
Gauge
System
and
Analytic
Hierarchy
Process
combined
Entropy
Weight
Method
assess
key
factors
influencing
agricultural
reduction.
Our
delineates
hierarchical
importance
of
emission
policy
(τ4)
emerging
as
paramount
factor,
attributed
value
0.220.
The
factor
prioritization
ordered
τ4
>
τ8
τ3
τ2
τ6
τ9
τ1
τ5
τ7.
Concurrently,
causality
ranking,
derived
from
[Formula:
see
text]
values,
positions
technology
adoption
(τ6)
most
influential
0.7737,
followed
by
sequence
0
τ7.The
findings
emphasize
pivotal
role
sustainable
management,
policy,
mitigating
based
on
this,
suggest
some
insights
can
be
used
policymakers
regulators.
proposed
serves
robust
decision-making
tool
provides
theoretical
framework
developing
research
advances
field
offering
novel
complex
under
uncertainty,
deepening
understanding
dynamics,
providing
actionable
development.
Language: Английский
Enhancing energy resilience in enterprises: a multi-criteria approach
Sustainable Energy Research,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: Jan. 31, 2025
Unreliable
energy
supply
disrupts
productivity
and
escalates
costs
in
manufacturing
enterprises,
highlighting
the
need
for
robust
resilience
strategies.
Existing
multi-criteria
decision-making
(MCDM)
methods,
such
as
analytic
hierarchy
process
(AHP),
best–worst
method
(BWM),
unaugmented
TOPSIS,
often
lack
advanced
risk
prioritization
objective
criteria
weighting,
limiting
their
effectiveness
addressing
complex,
multidimensional
challenges.
This
study
proposes
an
integrated
framework
that
combines
Failure
Mode
Effects
Analysis
(FMEA)
prioritization,
CRITIC-method
weighting
based
on
4A's
dimensions—availability,
accessibility,
affordability,
acceptability—and
fuzzy-TOPSIS
strategy
ranking.
The
bridges
theoretical
rigor
with
operational
applicability,
unique
challenges
faced
by
enterprises.
Validated
through
a
real-world
case
sensitivity
analysis,
it
identifies
actionable
strategies,
flexible
scheduling,
demonstrating
consistent
rankings
across
comparative
analyses
fuzzy
VIKOR,
WASPAS,
MARCOS.
sector-specific
approach
advances
both
academic
understanding
industrial
practice
providing
scalable,
tool
enhancing
resilience.
presents
integrating
FMEA,
CRITIC-method,
within
to
address
It
prioritizes
risk,
provides
ranks
strategies
under
uncertainty.
study,
effective
demonstrates
adaptability,
confirming
robustness
via
analyses.
Demonstrating
adaptability
varying
weights
(±
20%)
reliability
MCDM
offers
advancing
practical
manufacturing.
Language: Английский
An innovative aggregation operator for enhanced decision-making: A study on interval-valued Pythagorean fuzzy soft sets in material selection
Applied Soft Computing,
Journal Year:
2025,
Volume and Issue:
unknown, P. 112888 - 112888
Published: Feb. 1, 2025
Language: Английский
Prioritising the location of gold refining facility in Nigeria: An application of advanced multi-criteria decision making methods based on Fermatean fuzzy sets
Abiodun Ismail Lawal,
No information about this author
François K. Mulenga
No information about this author
Resources Policy,
Journal Year:
2025,
Volume and Issue:
101, P. 105475 - 105475
Published: Jan. 27, 2025
Language: Английский
The New Integrated Interval-Valued Fermatean Fuzzy Decision-Making Approach with the Implementation of Green Supply Chain Management
Murat Ki̇ri̇şçi̇,
No information about this author
Serdar KUZU,
No information about this author
Ali Kablan
No information about this author
et al.
Axioms,
Journal Year:
2025,
Volume and Issue:
14(3), P. 187 - 187
Published: March 3, 2025
This
paper
aims
to
effectively
tackle
decision-making
problems
on
interval-valued
Fermatean
fuzzy
sets;
the
current
research
suggested
an
integrated
approach
based
WASPAS
method.
The
criteria
weights
were
determined
by
combining
objective
obtained
similarity
measure
with
subjective
provided
decision-makers.
combination
made
achieving
more
realistic
possible.
Interval-valued
sets
subjected
improved
scoring
functions
and
novel
measures
concerning
weights.
application
of
green
supply
chain
management
is
discussed
show
that
created
fully
applies
multi-criteria
issues
in
actual
world.
Green
was
examined
using
critical
success
factors
control
audit
enterprises’
processes
as
a
numerical
example
developed
In
examinations,
it
seen
companies
implementing
selected
GSC
applications
achieved
close
results
thus
acted
appropriately
situation.
To
validate
stability
technique,
this
study
also
includes
sensitivity
analysis
utilizing
different
criterion
values
method’s
parameters.
According
investigation,
merging
enhanced
outcomes
here
compared
those
other
approaches
previously
put
forth
literature
assess
its
performance
accurately.
Language: Английский
Novel Distances for Fermatean Fuzzy Sets in Multi-attribute Decision-Making Using Covering-Based Rough Sets
Quang-Thinh Bui,
No information about this author
Thao Tran-Phuong,
No information about this author
Thanh Hao Nguyen
No information about this author
et al.
Lecture notes in computer science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 64 - 75
Published: Jan. 1, 2025
Language: Английский
A design and development of distance measure for Fermatean fuzzy sets with varied applications in real-time
R. Premalatha,
No information about this author
K. Somasundaram
No information about this author
Journal of Ambient Intelligence and Humanized Computing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 23, 2025
Language: Английский
A Molecular Fuzzy Decision-Making Model for Optimizing Renewable Energy Investments towards Carbon Neutrality
Renewable Energy,
Journal Year:
2024,
Volume and Issue:
unknown, P. 122175 - 122175
Published: Dec. 1, 2024
Language: Английский
A Machine Learning and Fuzzy Logic Model for Optimizing Digital Transformation in Renewable Energy: Insights into Industrial Information Integration
Journal of Industrial Information Integration,
Journal Year:
2024,
Volume and Issue:
42, P. 100734 - 100734
Published: Nov. 1, 2024
Language: Английский
Comparison of irrigation performance assessment of D.I Cikahuripan according to irrigation network maintenance exploitation guidelines with fuzzy set theory
Muhammad Hamka,
No information about this author
Krisna Putra,
No information about this author
R M Fauzi
No information about this author
et al.
BIO Web of Conferences,
Journal Year:
2024,
Volume and Issue:
148, P. 03001 - 03001
Published: Jan. 1, 2024
Performance
assessment
of
irrigation
networks
is
an
integral
part
management.
Irrigation
managers
conduct
it
and
form
the
basis
for
policymaking
in
area
being
evaluated.
involves
six
aspects
networks,
including
physical
infrastructure,
crop
productivity,
operation
maintenance
(O&M)
support
facilities,
personnel
organization,
documentation,
Water
User
Farmer
Association
(P3A)
organization.
Currently,
performance
assessment,
on
some
aspects,
still
relies
experience
field
officers
or
observers.
This
research
aims
to
evaluate
by
applying
fuzzy
set
theory
reduce
subjectivity
accordance
with
method
used
Balai,
which
refers
Permen
PUPR
No.
12/PRT/M/2015
concerning
Guidelines
Exploitation
Maintenance
Networks.
Input
data
comes
from
Cikahuripan
Area
2023.
The
results
showed
that
analysis
value
reached
70.17%,
while
carried
out
manually
67.57%.
comparison
between
using
manual
methods
shows
a
difference
2.6%.
can
be
systems.
Language: Английский