Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 25, 2024
Heat
pipes
are
becoming
increasingly
popular
for
managing
thermal
conditions
of
electric
car
battery
packs
because
their
durability,
superconductive
ability,
low
maintenance
requirements,
and
lifespan.
In
this
work,
suitable
working
fluid
heat
has
been
identified
using
multi-criteria
decision-making
(MCDM)
methods
15
fluids
(Helium,
Hydrogen,
Oxygen,
Nitrogen,
Propane,
Ethane,
Ethanol,
R123,
Methanol,
Toluene,
Acetone,
(FC-72),
Ammonia,
(HFE-7000),
water)
as
potential
alternatives
nine
decision
attributes
(thermal
conductivity,
specific
capacity,
compatibility
with
pipe
material,
phase
change
temperature,
latent
vaporization
(LHV),
density,
viscosity,
surface
tension,
cost).
The
criteria
weights
determined
by
Criteria
importance
through
inter-criteria
correlation
(CRITIC)
analytical
hierarchy
process
(AHP)
schemes
were
utilized
to
prioritize
considered
the
application
Multi-Objective
Optimization
basis
on
Ratio
Analysis
(MOORA),
Preference
ranking
organization
method
enrichment
evaluation
(PROMETHEE)
weighted
aggregated
sum
product
assessment
technique
(WASPAS)
methods.
findings
indicated
that
water
is
best
alternative,
followed
ammonia.
Cost
emerged
most
convincing
criterion,
material.
qualitative
analysis
showed
integrated
weight-based
PROMETHEE-II
effective
framework
problem,
MOORA
WASPAS
Journal of Operations Intelligence,
Journal Year:
2024,
Volume and Issue:
2(1), P. 167 - 178
Published: Feb. 19, 2024
Fermatean
fuzzy
sets
(FFSs),
as
one
of
the
representative
variants
sets,
have
broad
application
prospects.
FFSs
advantages
in
modeling
uncertain
information
and
therefore
been
widely
applied.
However,
how
to
perfectly
quantify
differences
between
FFS
remains
an
open
question.
This
paper
introduces
a
new
distance
measure
for
FFSs,
utilizing
triangular
divergence.
The
proposed
is
designed
rectify
limitations
current
measure,
offering
more
effective
solution
analyzing
FFSs.
Moreover,
we
demonstrate
that
satisfies
some
basic
properties
further
show
its
effectiveness
through
several
numerical
examples.
Finally,
explore
performance
medical
diagnosis
application,
results
can
well
overcome
measure.
AIMS Mathematics,
Journal Year:
2024,
Volume and Issue:
9(4), P. 10050 - 10077
Published: Jan. 1, 2024
<abstract><p>Rough
set
theory
is
an
advanced
uncertainty
tool
that
capable
of
processing
sophisticated
real-world
data
satisfactorily.
Rough
approximation
operators
are
used
to
determine
the
confirmed
and
possible
can
be
obtained
by
using
subsets.
Numerous
rough
models,
inspired
neighborhood
systems,
have
been
proposed
in
earlier
studies
for
satisfying
axioms
Pawlak
spaces
(P-approximation
spaces)
improving
accuracy
measures.
This
work
provides
a
formulation
novel
type
generalized
(G-approximation
based
on
new
systems
$
\mathbb{I}_j
$-neighborhoods
ideal
structures.
The
originated
G-approximation
offered
fulfill
axiomatic
requirements
P-approximation
give
more
information
subsets
under
study.
That
is,
they
real
simulations
provide
accurate
decisions
than
previous
models.
Several
examples
provided
compare
suggested
with
existing
ones.
To
illustrate
application
potentiality
efficiency
approach,
numerical
example
Chikungunya
disease
presented.
Ultimately,
we
conclude
our
study
summary
direction
further
research.</p></abstract>
Universal Journal of Mathematics and Applications,
Journal Year:
2024,
Volume and Issue:
7(1), P. 12 - 29
Published: Jan. 15, 2024
The
definition
of
Fermatean
fuzzy
soft
sets
and
some
its
features
are
introduced
in
this
study.
A
set
is
a
parameterized
family
generalization
intuitionistic
Pythagorean
sets.
This
paper
presents
the
entropy.
Also
acquired
formulae
for
standard
distance
measures
such
as
Hamming
Euclidean
distance.
Other
formulas
have
also
been
proposed
calculating
entropy
measurements
FFSSs.
Even
if
defined
other
extensions,
they
cannot
be
applied
directly
to
It
can
used
determine
uncertainty
associated
with
set,
discover
similarities
between
any
two
using
measures,
compare
it
existing
structures
literature.
applications
decision-making
pattern
recognition
difficulties
examined.
Finally,
comparison
studies
known
equations
performed.
Symmetry,
Journal Year:
2024,
Volume and Issue:
16(5), P. 574 - 574
Published: May 7, 2024
The
q-rung
orthopair
fuzzy
sets
(q-ROFSs),
a
novel
concept
for
processing
vague
information,
offer
more
potent
and
all-encompassing
method
compared
to
traditional
sets,
intuitionistic
Pythagorean
sets.
inclusion
of
the
parameter
q
allows
capture
broader
range
uncertainty
information.
In
this
paper,
we
present
two
distance
measures
q-ROFSs
inspired
by
Jensen–Shannon
divergence,
called
DJS_2D
DJS_3D,
analyze
some
properties
they
satisfy,
such
as
non-degeneracy,
symmetry,
boundedness,
triangular
inequality.
Then,
normalized
measures,
DJS_2D˜
DJS_3D˜,
are
proposed
verify
their
rationality
through
numerical
experiments.
Finally,
apply
practical
scenarios,
including
pattern
recognition
multicriteria
decision-making,
results
demonstrate
effectiveness
measures.
