A two-stage model of the fuzzy analytic hierarchy process and the fuzzy synthetic evaluation technique to prioritize sustainable sanitation services under uncertainty
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 30, 2025
In
the
context
of
Sustainable
Development
Goals
(SDGs),
which
strive
to
ensure
comprehensive
access
fundamental
water,
sanitation,
and
hygiene
(WASH)
services,
it
is
extremely
imperative
prioritize
communities
in
need
still
disadvantaged.
Moreover,
tackling
worldwide
sanitation
crisis
entails
advancing
development
productive
sustainable
systems
infrastructure.
Sanitation
planning
a
multidimensional
exercise
encompassing
multiple
dimensions,
stakeholders,
strategies,
typically
with
conflicting
objectives.
Poor
planning,
funding
obstacles,
stakeholder
priorities,
climatic
changes,
growing
populations,
system
constraints,
user
engagement
all
complicate
entire
process.
Intelligent
strategic
decision-making
crucial,
particularly
for
resource-constrained
economies.
Multi-criteria
decision
analysis
(MCDA)
models
offer
opportunities
figure
out
resolve
such
conflicts,
while
also
optimizing
prioritization
policymaking.
These
assist
considering
trade-offs,
data
uncertainty,
arriving
at
decisions
by
technical,
economic,
social,
environmental
sustainability.
present
work,
two-stage
integrated
model
Fuzzy
Analytic
Hierarchy
Process
(FAHP)
Synthetic
Evaluation
Technique
(FSET)
was
developed,
accompanied
sensitivity
analysis,
yielding
an
assessment
index
designated
as
Priority
Index
(SPI).
This
applicable
prioritizing
categorizing
infrastructure
(e.g.,
wastewater
collection
treatment
plants),
competition
over
scarce
resources,
reliance
on
third-party
funds,
sustainability
factors.
The
problem
designed
hierarchical
structure
that
integrates
elements
specifies
key
criteria
contributing
SPI.
set
theory
handles
FAHP
evaluating
significance
group
FSET
designing
membership
functions.
Field
SPI
transformed
into
fuzzy
intervals,
synthesized,
defuzzified
derive
community
level.
model's
robustness
examined
using
applied
several
Palestinian
lacking
outcomes
show
demographic
criterion
has
major
impact
(20.38%),
followed
water
consumption
(16.76%)
reuse
potential
(15.40%).
Environmental
risks
account
12.40%,
utilities'
competency
(11.5%),
industrial
wastes
(8.72%).
socioeconomic
valued
5.10%,
geographical
constraints
4.51%,
license
4.8%.
Out
25
investigated,
five
exhibited
values
surpassing
60.0%.
Eleven
possessed
between
50.0%
60.0%,
nine
achieved
ranging
from
40.0
50.0%.
application
reveals
almost
complete
stability
communities.
Introducing
this
relevant
bodies'
management
practices
strategies
holds
significantly
boost
services
well
performance
utilities.
It
further
enables
incorporation
additional
interests
more
stakeholders.
Язык: Английский
Ethical Principles of Integrating ChatGPT Into IoT–Based Software Wearables: A Fuzzy‐TOPSIS Ranking and Analysis Approach
International Journal of Intelligent Systems,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
The
rapid
development
of
the
internet
things
(IoT)
prompts
organizations
and
developers
to
seek
innovative
approaches
for
future
IoT
device
research.
Leveraging
advanced
artificial
intelligence
(AI)
models
such
as
ChatGPT
holds
promise
in
reshaping
conceptualization,
development,
commercialization
devices.
Through
real‐world
data
utilization,
AI
enhances
effectiveness,
adaptability,
devices
wearables,
expediting
their
production
process
from
ideation
deployment
customer
assistance.
However,
integrating
into
IoT–based
wearables
poses
ethical
concerns
including
ownership,
security,
privacy,
accessibility,
bias,
accountability,
cost,
design,
quality,
storage,
model
training,
explainability,
consistency,
fairness,
safety,
transparency,
trust,
generalizability.
Addressing
these
principles
necessitates
a
comprehensive
review
literature
identify
classify
relevant
principles.
author
identified
14
using
systematic
(SLR)
with
criteria
frequency
≥
50%
based
on
similarities.
Four
categories
emerge
principles,
culminating
application
Fuzzy‐TOPSIS
analyzing,
categorizing,
ranking,
prioritizing
From
technique
results,
principle
security
privacy
is
highly
ranked
software
wearable
ranking
value
“0.925”
consistency
coefficient
index.
This
method,
well‐established
computer
science,
effectively
navigates
fuzzy
uncertain
decision‐making
scenarios.
pioneer
outcomes
this
study
provide
taxonomy‐based
valuable
insight
manufacturers,
facilitating
analysis,
categorization,
prioritization
amid
integration
wearables’
research
development.
Язык: Английский
Assessment of Ecological Carrying Capacity and Spatiotemporal Evolution Analysis for Arid Areas Based on the AHP-EW Model: A Case Study of Urumqi, China
Land,
Год журнала:
2025,
Номер
14(6), С. 1143 - 1143
Опубликована: Май 24, 2025
Ecological
carrying
capacity
(ECC)
is
central
to
assessing
the
sustainability
of
ecosystems,
aiming
quantify
limits
natural
systems
support
human
activities
while
maintaining
biodiversity
and
resource
regeneration.
To
assess
ECC,
earlier
studies
typically
used
analytic
hierarchy
process
(AHP)
method
for
modeling.
In
this
study,
we
developed
an
AHP-EW
based
on
a
combination
AHP
entropy
weight
method,
which
considered
important
indicators
including
land
use,
vegetation,
soil,
location,
topography,
climate,
socio-economics,
constructed
ECC
evaluation
system.
The
new
was
applied
analyze
spatiotemporal
patterns
in
Urumqi
from
2000
2020.
results
showed
general
decreasing
trend
during
period
2000–2020.
Among
them,
decreased
significantly
by
19.05%
2010.
After
2010,
rate
decline
slowed
14.12%
due
ecological
conservation
policies.
addition,
Midong
District,
Dabancheng
County
had
worse
ECC.
Still,
general,
distribution
each
district
county
areas
with
low
increasing
high
Cluster
analysis
that
improved
reserve
areas,
some
built-up
decrease
economic
development
activities.
Driving
factor
shows
NDVI,
climate
change,
land-use
conversion
are
key
factors
influencing
change
Urumqi.
This
study
provides
ideas
technical
assessment
arid
can
help
formulate
more
effective
protection
strategies
promote
healthy
stable
regional
ecosystems.
Язык: Английский
Binary Decision Support Using AHP: A Model for Alternative Analysis
Algorithms,
Год журнала:
2025,
Номер
18(6), С. 320 - 320
Опубликована: Май 28, 2025
Decision-making
is
a
fundamental
challenge
in
science
and
engineering,
mainly
when
subjective
factors
influence
the
process.
This
paper
introduces
decision
support
model
based
on
Analytic
Hierarchy
Process
(AHP)
that
was
specifically
adapted
for
binary
decisions
we
term
Binary
AHP.
The
facilitates
structured
decision-making
evaluating
two
opposing
alternatives,
such
as
yes/no
scenarios.
To
demonstrate
its
applicability,
applied
AHP
to
real-world
case
Brazilian
public
sector,
where
agencies
must
determine
whether
technological
solution
qualifies
an
Information
Communication
Technology
(ICT)
solution.
classification
crucial
since
it
directly
impacts
procurement
policies
regulatory
compliance.
Our
results
show
enhanced
consistency,
transparency,
reproducibility,
reduced
discrepancies
between
evaluators.
Additionally,
by
inverting
priority
vectors,
allowed
comparative
analysis
of
both
thus
offering
more
profound
insights
into
study
highlights
flexibility
AHP-based
methodologies
proposes
approach
refining
frameworks
complex,
multi-criteria
environments.
Язык: Английский