An integrated method for shared power bank supplier selection based on linguistic hesitant fuzzy multi-criteria group decision making
Knowledge-Based Systems,
Journal Year:
2024,
Volume and Issue:
301, P. 112300 - 112300
Published: Aug. 3, 2024
Language: Английский
An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method
Muhammad Waheed Rasheed,
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Hind Y. Saleh,
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Areen A. Salih
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et al.
Frontiers in Artificial Intelligence,
Journal Year:
2025,
Volume and Issue:
7
Published: Jan. 21, 2025
An
infectious
eye
illness
known
as
pink
results
in
ocular
redness,
irritation,
and
mucus.
Schools
are
an
especially
vulnerable
region
for
dissemination
because
they
can
propagate
that
contagious
disease
quickly
via
direct
or
indirect
interactions.
Choosing
the
right
medication
to
treat
infection
is
typically
thought
of
intricate
multi-attribute
group
decision-making
concern.
The
goal
this
research
construct
a
framework
assesses
six
treatment
medications,
including
Bleph-10,
Moxeza,
Zymar,
Romycin,
Polytrim,
Bacticin.
constructed
includes
following
scenario:
(1)
In
contrast
other
types
fuzzy
sets,
2-tuple
linguistic
T
-spherical
set
(2TL
-SFS)
looks
be
potent
tool
dealing
with
informational
inconsistencies
scenarios;
(2)
order
render
2TL
-SF
accumulation
details
processing
more
flexible,
addition,
multiplication,
scalar
exponential
laws
predicated
on
Schweizer-Sklar
collection
t
-conorms
-norms
described;
(3)
weighted
average
geometric
operators
then
put
forward
employing
aforementioned
operations
combine
data;
(4)
subsequently,
using
newly
developed
(referred
geometric),
work
enhances
conventional
aggregated
sum
product
assessment
(WASPAS)
approach.
computation
procedure
methodology
thoroughly
given
rank
alternatives;
(5)
confirm
viability
suggested
approach,
thorough
computational
simulation
assessments
conducted.
examination
existing
compared
demonstrate
benefits
analysis.
Language: Английский
Two-stage type-2 fuzzy parabolic double frontier data envelopment analysis
Engineering Applications of Artificial Intelligence,
Journal Year:
2025,
Volume and Issue:
144, P. 110154 - 110154
Published: Jan. 31, 2025
Language: Английский
Evaluating the impact of knowledge management and database management on decision-making process: A case study of subsea project services
Journal of Open Innovation Technology Market and Complexity,
Journal Year:
2024,
Volume and Issue:
10(3), P. 100340 - 100340
Published: July 14, 2024
The
oil
and
gas
industry
is
known
for
its
rapid
technological
advancements
the
complexity
of
operations,
increasingly
relying
on
data-intensive
management.
As
subsea
projects—from
exploration
to
decommissioning—become
more
complex
data-driven,
integrating
knowledge
management
(KM)
database
systems
(DBMS)
has
become
essential.
research
specifically
explores
how
KM
DBMS
contribute
decision-making,
utilizing
a
quantitative
methodology
through
questionnaire
survey.
Findings
reveal
that
processes
significantly
improve
effectiveness
non-spatial
data
management,
highlighting
KM's
crucial
role
in
facilitating
technology
adoption
operational
efficiency.
However,
influence
spatial
overall
decision-making
found
be
limited,
indicating
necessity
adaptive
integrated
strategies
serve
unique
requirements
systems.
This
study
underscores
critical
but
nuanced
industry,
advocating
tailored
optimize
It
suggests
future
into
interplay
with
emerging
technologies
like
AI
machine
learning
enhance
investigation
stresses
importance
holistic
practices
effectively
managing
intricate
landscapes
project
services,
thereby
contributing
broader
discourse
KM,
DBMS,
settings.
Language: Английский
Selection of Cloud Security by Employing MABAC Technique in the Environment of Hesitant Bipolar Complex Fuzzy Information
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 123127 - 123148
Published: Jan. 1, 2024
The
term
"cloud
security
(CS)"
describes
the
collection
of
procedures
and
tools
intended
to
defend
networks,
data,
apps,
systems
used
in
cloud
computing
from
possible
risks
unauthorized
access.
Data
breaches,
identity
access
management,
network
security,
adherence
industry
governmental
standards,
third-party
services
apps
are
a
few
major
issues
with
CS.
Selecting
best
CS
becomes
critical
for
resolving
all
these
problems.
Within
context
hesitant
bipolar
complex
fuzzy
sets
(HBCFSs)
theory,
we
address
this
study
optimal
selection
utilizing
various
conceptions
aggregation
operators
(AOs).
notion
HBCFSs
gives
us
valuable
framework
by
providing
hesitancy
nature
any
object
along
its
positive
negative
aspects.
Moreover,
tool
eliminate
vagueness
uncertainty
given
information.
In
manuscript,
developed
some
new
AOs
which
obliging
convert
set
information
into
singleton
value.
Then
calculate
aggregate
numerical
significance
To
handle
our
supposed
problem
mainly
(HBCF)
weighted
averaging
(HBCFWA),
HBCF
ordered
(HBCFOWA),
geometric
(HBCFWG),
(HBCFOWG),
generalized
(GHBCFWA),
(GHBCFWG)
operators.
Furthermore,
develop
multi-attributive
border
approximation
area
comparison
(MABAC)
method
multi-attribute
group
decision-making
(MAGDM)
propose
analyze
CS-related
case
identify
Lastly;
demonstrate
advantages
superiority
interpretive
work,
compared
suggested
methodology
other
extant
ideas.
Language: Английский
Interval-Valued Intuitionistic Fuzzy Yager Power Operators and Possibility Degree-Based Group Decision-Making Model
Cognitive Computation,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Dec. 28, 2024
Abstract
As
an
extended
form
of
intuitionistic
fuzzy
set,
the
theory
interval-valued
set
(IVIFS)
can
describe
fuzziness
more
flexibly.
This
study
aims
to
develop
a
group
decision-making
model
based
on
distance
measure,
Yager
power
aggregation
operators
and
possibility
measure
in
context
IVIFSs.
For
this
purpose,
new
is
proposed
quantify
dissimilarity
between
two
In
addition,
comparison
with
existing
measures
performed
illustrate
efficiency
introduced
measure.
Combining
Yager’s
triangular
norms
distance-based
operators,
series
(IVIF)
are
their
desirable
properties.
Moreover,
developed
for
pairwise
comparisons
IVIFSs,
which
overcomes
shortcomings
IVIF-score
function,
IVIF-accuracy
IVIF-possibility
measures.
The
further
utilized
compute
weights
criteria.
To
prove
practicality
effectiveness
model,
it
applied
case
manufacturing
plant
location
selection
problem
IVIF
information.
Finally,
sensitivity
comparative
analyses
carried
out
test
stability
robustness
method
under
setting
Language: Английский