Indonesian Journal of Electrical Engineering and Computer Science,
Journal Year:
2024,
Volume and Issue:
35(1), P. 642 - 642
Published: May 6, 2024
In
this
paper,
a
decision
support
system
(DSS)
is
provided
to
assist
the
decision-maker
in
obtaining
best
solution
for
transportation
problem
under
uncertainty.
Fuzzy
parameters
of
are
presented
by
pentagonal
fuzzy
numbers.
The
centroid
ranking
function
transforms
these
numbers
into
crisp
ones.
Then,
novel,
improved
greedy
method
named
Dhouib-Matrix-TP1
(DM-TP1)
used
order
help
promptly
find
suitable
solution.
Specifically,
DSS
composed
three
components:
data
base
component
considers
number;
Model
Base
thinks
through
original
heuristic
DM-TP1;
and
User
Interface
deliberates
convivial
graphical
output
generated
plan
using
Python
programming
language.
Experiments
literature
on
problems
show
that
novel
proposed
heuristic,
DM-TP1,
easy
understand
allows
handle
Also,
DM-TP1
robust
can
be
applied
feasible
initial
less
time.
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems,
Journal Year:
2024,
Volume and Issue:
32(03), P. 303 - 323
Published: May 1, 2024
Shortest
Path
Problem
(SPP)
is
mainly
used
in
network
optimization;
also,
it
has
a
wide
range
of
applications
such
as
routing,
scheduling,
communication
and
transportation.
The
main
objective
this
work
to
find
the
shortest
path
between
two
specified
nodes
by
satisfying
certain
constraints.
This
modified
version
SP
called
Constraint
(CSP),
which
establishes
limit
on
selected
constraints
for
path.
constraint
values
precisely
traditional
CSP
problems.
But,
precise
data
may
vary
due
environmental
conditions,
traffic
payload.
To
resolve
this,
proposed
uses
intuitionistic
fuzzy
numbers
deal
with
imprecise
data.
Also,
finding
an
optimal
solution
complex
search
space
undirected
difficult.
Hence,
Particle
Swarm
Optimization
(PSO)
obtain
global
within
feasible
regions.
A
numerical
example
implementation
Matlab
2016a
working
environment
are
also
illustrated.
simulation
analysis
shows
that
PSO
algorithm
takes
1.8[Formula:
see
text]s
graph,
comparatively
lower
than
existing
Genetic
Algorithm
(2.4[Formula:
text]s)
without
optimization
(5.6[Formula:
text]s).
Indonesian Journal of Electrical Engineering and Computer Science,
Journal Year:
2024,
Volume and Issue:
35(1), P. 642 - 642
Published: May 6, 2024
In
this
paper,
a
decision
support
system
(DSS)
is
provided
to
assist
the
decision-maker
in
obtaining
best
solution
for
transportation
problem
under
uncertainty.
Fuzzy
parameters
of
are
presented
by
pentagonal
fuzzy
numbers.
The
centroid
ranking
function
transforms
these
numbers
into
crisp
ones.
Then,
novel,
improved
greedy
method
named
Dhouib-Matrix-TP1
(DM-TP1)
used
order
help
promptly
find
suitable
solution.
Specifically,
DSS
composed
three
components:
data
base
component
considers
number;
Model
Base
thinks
through
original
heuristic
DM-TP1;
and
User
Interface
deliberates
convivial
graphical
output
generated
plan
using
Python
programming
language.
Experiments
literature
on
problems
show
that
novel
proposed
heuristic,
DM-TP1,
easy
understand
allows
handle
Also,
DM-TP1
robust
can
be
applied
feasible
initial
less
time.
