Artificial Intelligence Review,
Год журнала:
2024,
Номер
57(4)
Опубликована: Март 15, 2024
Abstract
The
information
in
the
real
world
often
contains
many
properties
such
as
fuzziness,
randomness,
and
approximation.
Although
existing
linguistic
collections
attempt
to
solve
these
problems,
with
emergence
of
more
constraints
challenges,
this
cannot
fully
express
problem,
leading
an
increasing
demand
for
methods
that
can
contain
multiple
uncertain
information.
In
paper,
we
comprehensively
consider
various
characteristics
including
membership
degree,
credibility
approximation
based
on
rough
sets,
propose
concept
$$\chi$$
χ
-linguistic
sets
(
LSs),
which
depend
original
data
rather
than
prior
knowledge
effectively
problem
incomplete
representation.
At
same
time,
corresponding
theories
comparison
method
operational
rules
have
also
been
proposed.
Subsequently,
construct
a
new
VIKOR
LVIKOR)
multi-attribute
group
decision
making
(MAGDM)
LSs,
apply
it
risk
assessment
COVID-19.
Through
comparative
analysis,
discuss
effectiveness
superiority
LSs.
The TQM Journal,
Год журнала:
2023,
Номер
36(6), С. 1460 - 1485
Опубликована: Дек. 7, 2023
Purpose
The
industrial
revolution
changed
the
market
landscape
significantly
in
all
sectors.
It
has
a
noteworthy
impact
on
enhancing
quality
of
goods
and
services.
aspect
is
utmost
concern
determines
success
or
failure
any
product.
Therefore,
presented
study
analyses
key
barriers
solutions
Quality
4.0.
Design/methodology/approach
Twenty
fifteen
were
identified
using
literature
review
investigated
hybrid
approach.
Barrier
weights
evaluated
with
help
fuzzy
AHP
method.
Furthermore,
computed
used
to
perform
computations
next
step
fuzzy-TOPSIS
prioritize
ranking
solutions.
Findings
research
results
show
that
“Lack
applying
advanced
analytics
uncover
4.0
initiatives”
integrating
data
from
various
sources
across
organization”
are
topmost
barriers.
“Implement
leadership
development
program
focused
4.0”
“Cross-departmental
peer
learning
environment”
Practical
implications
Managers
industrialists
can
benefit
through
improved
decision-making,
process
efficiency,
supply
chain
collaboration,
agile
management,
enhanced
customer
experience
culture
continuous
improvement.
This
better
quality,
operational
effectiveness
competitive
edge.
Originality/value
need
be
mapped
adopting
involve
novelty
by
prioritizing
overcome
anticipated
Systems,
Год журнала:
2023,
Номер
11(6), С. 293 - 293
Опубликована: Июнь 7, 2023
With
the
current
heightened
promotion
of
environmental
awareness,
issues
related
to
protection
have
become
a
critical
component
economic
development.
The
emergence
new
environment-friendly
materials
and
simple
packaging,
other
awareness
demands
in
recent
years,
prompted
manufacturers
pay
more
attention
planning
greener
production
supply
processes
than
before.
Many
scholars
been
urged
investigate
sustainable
economy
green
suppliers.
However,
many
factors
needed
be
considered,
such
as
price,
cost,
benefit,
reputation,
quality
involved
process
supplier
selection.
These
require
quantitative
qualitative
analysis
information,
making
issue
multi-criteria
decision
(MDCM)
problem.
Traditional
research
methods
are
unable
effectively
objectively
handle
MCDM
problem
selection
due
problem’s
complexity
method’s
inclination
towards
biased
conclusions.
To
resolve
complicated
selection,
this
study
combined
fuzzy
analytic
hierarchy
(AHP),
technique
for
order
preference
by
similarity
ideal
solution
(TOPSIS),
2-tuple
linguistic
model
(2-tuple
FLM)
corrected
ranking
possible
computation
results
were
also
compared
with
typical
TOPSIS
AHP–TOPSIS
methods.
Through
numerical
verification
actual
case
supplier,
test
suggested
that
proposed
method
could
perform
an
objective
evaluation
expert-provided
information
while
retaining
all
their
valuable
insights.
Artificial Intelligence Review,
Год журнала:
2024,
Номер
57(4)
Опубликована: Март 15, 2024
Abstract
The
information
in
the
real
world
often
contains
many
properties
such
as
fuzziness,
randomness,
and
approximation.
Although
existing
linguistic
collections
attempt
to
solve
these
problems,
with
emergence
of
more
constraints
challenges,
this
cannot
fully
express
problem,
leading
an
increasing
demand
for
methods
that
can
contain
multiple
uncertain
information.
In
paper,
we
comprehensively
consider
various
characteristics
including
membership
degree,
credibility
approximation
based
on
rough
sets,
propose
concept
$$\chi$$
χ
-linguistic
sets
(
LSs),
which
depend
original
data
rather
than
prior
knowledge
effectively
problem
incomplete
representation.
At
same
time,
corresponding
theories
comparison
method
operational
rules
have
also
been
proposed.
Subsequently,
construct
a
new
VIKOR
LVIKOR)
multi-attribute
group
decision
making
(MAGDM)
LSs,
apply
it
risk
assessment
COVID-19.
Through
comparative
analysis,
discuss
effectiveness
superiority
LSs.
