Information,
Год журнала:
2023,
Номер
14(5), С. 285 - 285
Опубликована: Май 11, 2023
In
the
realm
of
multi-criteria
decision-making
(MCDM)
problems,
selection
a
weighting
method
holds
critical
role.
Researchers
from
diverse
fields
have
consistently
employed
MCDM
techniques,
utilizing
both
traditional
and
novel
methods
to
enhance
discipline.
Acknowledging
significance
staying
abreast
such
methodological
developments,
this
study
endeavors
contribute
field
through
comprehensive
review
several
weighting-based
methods:
CILOS,
IDOCRIW,
FUCOM,
LBWA,
SAPEVO-M,
MEREC.
Each
is
scrutinized
in
terms
its
characteristics
steps
while
also
drawing
upon
publications
extracted
Web
Science
(WoS)
Scopus
databases.
Through
bibliometric
content
analyses,
delves
into
trend,
research
components
(sources,
authors,
countries,
affiliations),
application
areas,
fuzzy
implementations,
hybrid
studies
(use
other
and/or
ranking
methods),
tools
for
these
methods.
The
findings
offer
an
insightful
portrayal
applications
each
method,
thereby
contributing
valuable
knowledge
researchers
practitioners
within
MCDM.
Engineering Applications of Artificial Intelligence,
Год журнала:
2023,
Номер
127, С. 107349 - 107349
Опубликована: Ноя. 6, 2023
Public
transportation
frameworks
assume
a
critical
role
in
the
metropolitan
region,
especially
huge
urban
communities,
where
they
offer
feasible
answer
for
easing
gridlock,
moderating
commotion
contamination,
and
diminishing
CO2
discharges.
This
paper
presents
some
novel
Fermatean
fuzzy
Heronian
mean
operators
based
on
Archimedean
t-norms,
specifically
generalized
(GFFAHM)
geometric
(FFAGHM).
The
study
investigates
different
unique
instances
of
these
while
exploring
their
essential
properties.
Besides,
powerful
multiattribute
decision-making
(MADM)
method
is
developed
using
proposed
operators.
approach
offers
key
asset
handling
complex
problems.
Overcoming
capabilities
conventional
BM
operators,
GFFAHM
FFAGHM
effectively
minimize
potential
redundancy
interrelationships
during
process.
inclusion
flexible
parameters
ρ
ϕ,
which
have
big
impact
process'
outcomes,
increases
adaptability
resilience
t-based
To
depict
feasibility
MADM
method,
thorough
quantitative
model
introduced,
outlining
its
useful
execution.
Through
an
exhaustive
case
study,
predominance
over
existing
strategies
experimentally
established.
Remarkably,
uncovers
that
reducing
fares
most
compelling
factor
expanding
public
transport
framework,
subsequently
advancing
sustainable
transport.
study's
findings
provide
insights
into
processes
practical
implications
policymakers,
allowing
them
to
make
informed
impactful
changes
system.
can
play
vital
upgrading
making
way
remarkable
strategy
interventions
sustainability.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Май 3, 2024
Abstract
Wire
electrical
discharge
machining
(WEDM)
is
one
of
the
most
important
non-traditional
methods
that
widely
used
in
various
industries.
The
present
research
work
concerned
with
influences
process
variables
on
quality
machined
specimen
obtained
from
WEDM
process.
parameters
to
manufacture
mold
structure
included
wire
feed
speed,
tension
and
generator
power,
current
research,
effects
these
aim
factors,
namely
dimensional
accuracy,
hardness
roughness
product
surface
have
been
investigated,
simultaneously.
In
order
obtain
optimal
experiment,
multi-objective
optimization
discrete
solution
area
has
employed.
Method
based
removal
criteria
(MEREC)
weighted
aggregates
sum
assessment
(WASPAS)
techniques
weighting
objective
functions
discovering
best
practical
experiment.
following,
regression
analysis
employed
study
response
factors.
A
good
correlation
between
results
gained
two
was
observed.
Based
MEREC-WASPAS
hybrid
technique,
weights
roughness,
accuracy
part
were
calculated
about
89%,
9%
2%,
respectively.
selected
amount
power
considered
to,
turn,
2
cm/s,
2.5
kg,
10%.
Spectrum of Engineering and Management Sciences,
Год журнала:
2023,
Номер
1(1), С. 25 - 37
Опубликована: Авг. 28, 2023
This
review
paper
investigates
the
application
of
various
multi-criteria
decision-making
(MCDM)
methods
in
context
warehouse
management,
considering
papers
published
from
2010
to
date.
Warehouses
often
face
many
challenges,
including
efficient
inventory
space
optimization,
proper
resource
allocation,
and
optimal
supplier
selection.
focuses
on
several
well-known
MCDM
that
are
used
management.
Full
consistency
method
(FUCOM),
analytic
hierarchy
process
(AHP),
technique
for
order
preference
by
similarity
ideal
solution
(TOPSIS),
weighted
aggregated
sum
product
assessment
(WASPAS),
criteria
importance
through
intercriteria
correlation
(CRITIC),
measurement
alternatives
ranking
according
compromise
(MARCOS),
best
worst
(BMW),
evaluation
based
distance
average
(EDAS),
coefficient
standard
deviation
(CCSD),
indifference
threshold-based
attribute
ratio
analysis
(ITARA),
simple
additive
weighting
(SAW)
some
reviewed
paper,
as
well
certain
fuzzy
versions
methods.
provides
a
brief
comprehensive
overview
these
Data
collection
leads
results
tell
us
mainly
solving
problems
during
selection
location,
equipment,
also
management
itself
performance
its
It
has
been
seen
useful
even
"green"
logistics,
Sustainability,
Год журнала:
2024,
Номер
16(7), С. 3069 - 3069
Опубликована: Апрель 7, 2024
Against
the
background
of
a
major
change
in
world
unseen
century,
emergencies
with
high
complexity
and
uncertainty
have
had
serious
impacts
on
economic
security
sustainable
social
development,
making
emergency
management
an
important
issue
that
needs
to
be
urgently
resolved,
quality
assessment
information
is
key
link
management.
To
effectively
deal
assessment,
new
fuzzy
multi-attribute
method
proposed
this
paper.
First,
we
propose
linguistic
complex
T-spherical
set
(LCT-SFS),
which
can
two-dimensional
problems
cope
situations
experts
cannot
give
quantitative
assessments.
Then,
advanced
Dombi-weighted
power-partitioned
Heronian
mean
(ALCT-SFDWPPHM)
operator,
incorporates
flexibility
Dombi
operations,
proposed.
The
partitioned
(PHM)
operator
consider
attribute
partitioning
correlation,
power
average
(PA)
eliminate
effect
evaluation
singularities,
circumvent
problem
consistent
or
indistinguishable
aggregation
results,
provides
strong
comprehensive
advantage
evaluating
aggregation.
Finally,
model
constructed
by
combining
WASPAS
applied
assessing
sensitivity
information;
qualitative
comparison
analyses
are
carried
out.
results
show
paper
has
feasibility
validity
represent
more
flexibly
while
providing
reasonable
reliable
results.
provide
ideas
methods
for
information,
promoting
sustainable,
efficient,
high-quality
development
Challenges in Sustainability,
Год журнала:
2024,
Номер
12(1), С. 1 - 17
Опубликована: Апрель 30, 2024
Climate
change
(CC)
represents
a
paramount
environmental
challenge,
necessitating
the
deployment
of
sustainable,
low-carbon
strategies
particularly
in
developing
regions
such
as
Africa.
This
study
introduces
novel
decision-making
framework
aimed
at
enhancing
prioritization
policies
to
combat
adverse
effects
CC.
The
proposed
two-stage
model
employs
integration
Step-Wise
Weight
Assessment
Ratio
Analysis
(SWARA)
and
Weighted
Aggregated
Sum
Product
(WASPAS)
under
spherical
fuzzy
(SF)
conditions
address
strategic
sequencing
sustainable
policies.
Initially,
SF-SWARA
is
utilized
ascertain
relative
significance
diverse
criteria.
Subsequently,
SF-WASPAS
method
ranks
these
policies,
facilitating
informed
decision-making.
primary
obstacles
identified
include
limited
institutional
capacity,
insufficient
financial
resources,
technological
constraints,
for
which
alternatives
are
proposed.
Moreover,
rigorous
sensitivity
comparative
analyses
affirm
model's
applicability.
By
systematically
delineating
prioritizing
necessary
this
contributes
significantly
scholarly
discourse
on
climate
mitigation
(CM)
an
African
context.
