Scientific Papers of Silesian University of Technology Organization and Management Series,
Год журнала:
2023,
Номер
2023(184)
Опубликована: Янв. 1, 2023
Purpose:
Paper
provides
an
overview
of
the
methodology
and
diverse
applications
Multi-Criteria
Decision
Analysis
MCDA.Also
shows
criteria
analytical
activities
in
process
quantitative
scientific
research.An
approach
to
selecting
company's
operating
strategy
its
strategic
position
relation
environment
which
it
operates
is
presented.A
model
consumer
behavior
was
assessed.Design/methodology/approach:
It
insights
into
weighting
criteria,
aggregating
preferences,
sensitivity
analysis.During
analysis
activities,
a
broad
literature
review
used,
comparing
most
popular
effective
methods
operation.Findings:
Verification
problems
multi-criteria
selection
are
problem
practical
identification
elements
actual
market
equivalent
theoretical
categories.It
also
necessary
verify
regularities
occurring
these
behaviors
by
confronting
them
with
consumers
determining
compliance
this
course.Practical
implications:
can
be
used
directly
solving
various
decision-making
contexts
work
related
organizing
objects
or
building
ranking.As
MCDA
continues
evolve
research
landscape,
remains
central
facilitating
informed
decisions,
accommodating
trade-offs
between
strengthening
rigour
analysis.Originality/value:
The
article
defines
important
enterprises,
conditioned
external
rules;
highlights
real-world
solving.
Environmental Science & Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 9, 2025
Identifying
primary
estrogen
receptor
(ER)
agonists
in
municipal
sewage
is
essential
for
ensuring
the
health
of
aquatic
environments.
Given
complex
and
variable
chemical
composition
sewage,
predominant
ER
remain
unclear.
High-resolution
mass
spectrometry
(HRMS)-based
models
have
been
developed
to
predict
compound
bioactivity
matrices,
but
further
optimization
needed
effectively
bridge
HRMS
features
with
agonists.
To
address
this
challenge,
an
FT-GNN
(fragmentation
tree-based
graph
neural
network)
model
was
proposed.
limited
data
class
imbalance,
augmentation
performed
using
predictions
within
applicability
domain
(AD)
oversampling
technique
(OTE).
Model
development
results
demonstrated
that
integrating
improved
balanced
accuracy
(bACC)
value
by
6%-31%.
The
model,
a
high
bACC
identify
more
true
agonists,
efficiently
classified
tens
thousands
unidentified
reducing
postprocessing
workload
nontargeted
screening.
Analysis
agonist
transformation
during
treatment
revealed
anaerobic
stage
as
key
both
their
removal
formation.
Estrogenic
effect
balance
analysis
suggests
α-E2
9,11-didehydroestriol
may
be
two
previously
overlooked
Collectively,
application
are
crucial
advancements
toward
credible
tracking
efficient
control
estrogenic
risks
water.
Environmental Reviews,
Год журнала:
2023,
Номер
31(4), С. 669 - 689
Опубликована: Июль 19, 2023
Decision-making
tools
have
become
a
prominent
methodology
in
watershed
management
for
many
years
due
to
the
complexity
of
environmental
systems
and
requirement
multi-disciplinary
expertise.
Multi-Criteria
Decision
Analysis
(MCDA)
is
systematic
methodology,
which
combines
hierarchical
structures
problem
priorities
alternatives
fields.
This
study
reviews
MCDA
applications
pollution
risk
assessment
abiotic
environments
watersheds
multi-pollutants.
Over
80
papers
published
between
2000
2021
are
identified
three
categories
Web
Science
Core
Collection
database:
“Environmental
Sciences”,
Studies”,
“Water
Resources”.
The
publications
further
classified
according
different
compartments:
surface
water,
groundwater,
soil
investigate
these
matrices.
Finally,
distribution
contaminants
methods
used
also
examined.
results
reveal
that
number
studies
focusing
on
within
has
been
significantly
increasing,
especially
over
last
decade.
However,
there
still
limited
linking
compartments.
Despite
several
vulnerability
multiple
pollutants,
related
with
emerging
pollutants
scarce.
Moreover,
compared
non-point
source
pollution,
adopting
pollutant
concentrations
coming
from
point
sources
relatively
few.
According
overall
distributions
methods,
Analytic
Hierarchy
Process,
commonly
found
method
literature
adopts
technique
pairwise
comparison
prioritize
criteria
prominence,
dominates
34%
publications.
IEEE Access,
Год журнала:
2023,
Номер
11, С. 143704 - 143720
Опубликована: Янв. 1, 2023
The
incorporation
of
numerous
technical,
economic,
environmental,
and
social
benchmarks
makes
multi-criteria
decision-making
(MCDM)
a
reliable
tool
in
the
field
sustainable
development.
To
achieve
sustainability
target
six,
which
is
related
to
clean
water
sanitation,
wastewater
technology
comes
into
play.
They
bring
with
them
complicated
scenarios
several
indicators,
criteria,
conflicting
objectives.
This
article
provides
thorough
review
MCDM
methods,
including
pure
techniques
such
as
AHP,
TOPSIS,
VIKOR,
ELECTRE,
others,
well
hybrid
approaches
like
non-structural
fuzzy
decision
support
system
(NSFDSS)
conjunction
Artificial
Neural
Network,
applied
treatment
technologies
or
processes
remove
contamination.
draws
upon
articles
sourced
from
"Scopus"
"Web
Science
(WoS)"
databases,
covering
period
2015
2023.
primary
aim
this
endeavor
offer
current
comprehensive
literature
pertaining
intent
aiding
researchers
environmental
engineers
their
quest
identify
most
appropriate
for
tackling
complex
challenges
associated
(WWT).
results
demonstrate
versatile
application
various
effective
removal
contaminants.
For
example,
these
applications
encompass
assessing
efficacy
adsorbents
pollutants
effluents
wastewater,
determining
optimal
WWT
range
alternatives,
evaluating
performance
both
metallic
(such
ZnO
MnO)
non-metallic
(like
activated
carbon)
nanomaterial
adsorbents,
scrutinizing
strategies
minimize
consumption.
Furthermore,
within
context
specific
technologies,
identifies
highlights
critical
criteria
that
are
deemed
instrumental
enhancing
efficiency
pollutants.
Ultimately,
methods
represent
contemporary
system.
In
future
research,
potential
utilization
can
extend
tracking
impacts
released
plants
surrounding
ecosystem.
Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi,
Год журнала:
2024,
Номер
17(1), С. 16 - 36
Опубликована: Март 27, 2024
Businesses
must
constantly
change
and
develop
to
keep
up
with
customer
needs
changes
in
the
market.
Not
being
able
adapt
or
not
ready
enough
can
bring
risks.
These
risks
affect
both
process
outputs
of
process.
It
is
essential
be
prepared
for
possible
experienced
operations,
especially
project-based,
production-to-order
enterprises,
meet
customer's
demands
comply
delivery
date.
implement
an
effective
risk
assessment
achieve
this.
This
study
implemented
a
prioritization
new
business
project
that
produces
energy
storage
systems
by
having
order.
Changes
made
production
additional
feature
added
product
line
request.
The
posed
short
deadline
were
analyzed
prioritized.
A
model
was
developed
developing
classical
Decision
Matrix
Risk
Assessment
(DMRA)
method,
one
methods
evaluate
ten
identified
"severity"
component
DMRA
method
divided
into
three
sub-components
(the
severity
time,
cost,
quality)
evaluated
more
specifically.
Moreover,
since
weights
these
on
are
different,
components
weighted
Fuzzy
SWARA
method.
obtained
from
used
MOORA
Thus,
effectiveness
approach
has
increased
detailing
weighting
prioritizing
using
multi-criteria
decision-making
(MCDM)
techniques.
