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Fin
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eh
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s
e
is
w
ell
m
ai
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tain
ed
.
Sh
o
u
et
a
l
.
[
1
]
h
as
s
u
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g
e
s
ted
th
e
co
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p
lex
it
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o
f
th
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[
2
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.
S
u
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m
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ca
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d
p
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d
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p
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d
u
ctio
n
co
s
ts
[
3
]
.
T
h
e
o
p
tim
a
l
n
u
m
b
er
o
f
s
u
p
p
li
er
s
is
a
s
o
l
u
tio
n
to
m
ai
n
tai
n
a
b
alan
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o
f
s
u
p
p
l
y
a
n
d
d
e
m
an
d
in
s
u
p
p
l
y
ch
ain
ac
tiv
ities
.
T
h
e
m
eth
o
d
u
s
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to
d
eter
m
i
n
e
t
h
e
o
p
tim
al
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th
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n
o
m
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o
r
d
er
q
u
an
tit
y
(
E
OQ)
m
et
h
o
d
.
[
4
]
,
[
5
]
h
av
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s
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g
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th
at
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E
OQ
m
e
th
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d
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b
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t
h
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co
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d
iti
o
n
s
o
f
d
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m
in
is
ti
c
m
ar
k
et
d
e
m
a
n
d
.
T
h
e
E
OQ
is
u
s
ed
to
d
ev
elo
p
an
o
p
ti
m
al
in
v
e
n
to
r
y
m
o
d
el
to
r
ed
u
ce
c
o
s
ts
an
d
m
a
x
i
m
ize
o
r
d
er
s
[
6
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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T
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8
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e
s
eg
g
a
g
en
ts
to
b
e
u
n
ab
le
to
d
eter
m
in
e
t
h
e
o
p
tim
a
l
n
u
m
b
er
o
f
o
r
d
er
s
to
s
u
p
p
lier
s
to
in
cr
ea
s
e
o
r
d
er
in
g
co
s
ts
,
a
n
d
t
h
e
w
ar
eh
o
u
s
e
ac
cu
m
u
late
s
.
Selli
n
g
p
r
ice
an
d
d
em
an
d
ca
n
o
b
tain
m
a
x
i
m
u
m
p
r
o
f
it,
s
o
t
h
e
co
m
p
a
n
y
n
ee
d
s
to
d
ev
elo
p
a
m
o
d
el
to
i
d
en
tify
th
e
m
ax
i
m
u
m
p
r
o
f
it
b
ased
o
n
th
ese
t
w
o
v
ar
iab
les
[
9
]
–
[
1
2
]
h
av
e
s
u
g
g
e
s
ted
th
a
t
th
e
f
u
zz
y
lo
g
ic
m
o
d
el
i
s
a
d
ec
is
io
n
m
a
k
i
n
g
s
y
s
te
m
an
d
o
p
ti
m
izatio
n
m
o
d
el
th
a
t p
r
o
v
id
es so
lu
t
io
n
s
to
co
m
p
le
x
it
y
p
ar
a
m
eter
in
p
u
t.
F
u
zz
y
lo
g
ic
m
o
d
els
ca
n
b
e
u
s
ed
to
id
en
ti
f
y
co
s
ts
i
n
cu
r
r
ed
f
o
r
p
r
o
d
u
ctio
n
s
o
th
a
t
t
h
e
s
elli
n
g
p
r
ice
o
f
t
h
e
p
r
o
d
u
ct
b
ec
o
m
e
s
m
o
r
e
o
p
ti
m
al
s
o
t
h
at
co
n
s
u
m
er
d
e
m
a
n
d
i
n
cr
ea
s
es
[
1
3
]
.
I
n
ad
d
itio
n
,
F
u
zz
y
L
o
g
ic
f
u
n
ctio
n
s
f
o
r
s
y
s
te
m
tr
ac
k
i
n
g
ac
c
u
r
ac
y
,
co
n
tr
o
l,
an
d
s
o
f
t
w
ar
e
s
ec
u
r
it
y
m
a
n
ag
e
m
e
n
t,
an
d
in
d
u
ctio
n
m
ac
h
in
e
[
1
4
]
–
[
2
6
]
h
av
e
s
u
g
g
e
s
ted
th
at
i
n
ad
d
itio
n
,
it
c
an
b
e
h
elp
f
u
l
to
p
u
t
an
o
b
j
ec
t
in
f
o
c
u
s
an
d
s
elec
t
an
d
clas
s
if
y
an
o
b
j
ec
t
m
o
d
u
le.
Fu
zz
y
lo
g
ic
ca
n
p
r
o
v
id
e
r
ec
o
m
m
en
d
atio
n
s
f
o
r
m
ea
s
u
r
e
m
e
n
t
r
esu
lts
t
h
at
r
ef
er
to
m
e
m
b
er
s
h
ip
an
d
th
e
tr
u
t
h
v
alu
e
[
2
7
]
.
Fu
zz
y
lo
g
ic
h
as
b
ee
n
u
s
ed
to
d
eter
m
in
e
th
e
id
ea
l
co
n
d
itio
n
s
f
o
r
t
h
e
e
f
f
ec
tiv
e
n
e
s
s
o
f
t
h
e
p
r
o
d
u
ctio
n
m
ac
h
in
e
s
o
th
at
t
h
e
p
r
o
d
u
ctio
n
p
r
o
ce
s
s
is
w
ell
m
ai
n
tai
n
ed
[
2
8
]
.
Fu
zz
y
lo
g
ic
ca
n
id
en
ti
f
y
t
h
e
s
ta
te
o
f
u
n
ce
r
tai
n
t
y
i
n
t
h
e
n
u
m
b
er
o
f
r
eq
u
ests
s
o
th
a
t
r
etailer
s
ca
n
p
r
o
d
u
ce
p
r
o
d
u
cts
th
at
ar
e
ac
ce
p
t
ab
le
to
co
n
s
u
m
er
s
[
2
9
]
.
Op
tim
al
o
r
d
er
d
ev
elo
p
m
en
t
u
s
i
n
g
f
u
zz
y
lo
g
ic
ca
n
id
e
n
tify
t
h
e
n
u
m
b
er
o
f
o
r
d
er
s
ac
co
r
d
in
g
to
co
n
s
u
m
er
d
em
a
n
d
,
s
o
eg
g
q
u
alit
y
is
m
ai
n
tai
n
ed
i
n
t
h
e
w
ar
eh
o
u
s
e
[
3
0
]
.
h
a
s
s
u
g
g
e
s
ted
t
h
at
f
u
zz
y
lo
g
i
c
ca
n
id
en
ti
f
y
ea
c
h
v
ar
iab
le's
v
alu
e
w
it
h
a
cr
is
p
v
alu
e.
Var
iab
les
t
h
at
a
f
f
ec
t
t
h
e
o
p
tim
a
l
o
r
d
er
an
d
h
av
e
a
cr
i
s
p
v
al
u
e
ar
e
th
e
f
i
n
al
s
to
ck
(
cr
ate)
,
to
tal
d
em
a
n
d
(
cr
ate)
,
an
d
s
ellin
g
p
r
ice
(
cr
ate)
,
s
o
it
is
n
ec
e
s
s
ar
y
to
u
s
e
a
f
u
zz
y
lo
g
ic
ap
p
r
o
ac
h
to
id
en
ti
f
y
t
h
e
f
u
zz
y
v
alu
e
o
f
t
h
ese
v
ar
iab
les.
Op
ti
m
al
o
r
d
er
q
u
an
tit
y
m
an
a
g
e
m
en
t
ca
n
r
ed
u
ce
in
v
en
to
r
y
to
r
ed
u
ce
s
to
r
ag
e
co
s
ts
,
an
d
th
e
p
r
o
d
u
ct
d
is
tr
ib
u
tio
n
p
r
o
ce
s
s
r
u
n
s
o
p
ti
m
all
y
[
3
1
]
.
T
h
e
d
esig
n
ed
f
u
zz
y
lo
g
ic
ca
n
in
cr
ea
s
e
t
h
e
ef
f
ec
ti
v
e
n
es
s
o
f
t
h
e
ch
ic
k
e
n
eg
g
s
u
p
p
l
y
c
h
ai
n
an
d
r
ed
u
ce
co
s
ts
.
Qi
n
et
a
l
.
[
3
2
]
h
as
s
u
g
g
e
s
ted
th
a
t
f
u
zz
y
lo
g
ic
ca
n
b
e
u
s
ed
i
n
m
an
a
g
i
n
g
s
u
p
p
l
y
ac
tiv
i
ties
t
o
eli
m
i
n
ate
w
a
s
te
a
n
d
ca
n
h
elp
m
a
k
e
d
ec
is
io
n
s
r
eg
ar
d
in
g
t
h
e
m
an
a
g
e
m
e
n
t
o
f
r
a
w
m
ater
ial
s
u
p
p
l
y
.
T
h
e
p
r
o
d
u
ct
d
i
s
tr
ib
u
tio
n
p
r
o
ce
s
s
ca
n
a
l
s
o
co
n
tr
o
l
t
h
e
id
ea
l
s
to
ck
co
n
d
it
io
n
b
ased
o
n
o
p
tim
al
o
r
d
er
s
.
Un
ce
r
tai
n
t
y
i
n
t
h
e
n
u
m
b
er
o
f
r
eq
u
est
s
ca
n
ca
u
s
e
p
r
o
d
u
ct
s
to
ck
o
u
ts
in
t
h
e
w
ar
eh
o
u
s
e,
s
o
a
f
u
zz
y
a
p
p
r
o
ac
h
is
n
ee
d
ed
to
k
ee
p
s
to
ck
co
n
d
itio
n
s
s
tab
le
[
3
3
]
.
Ma
n
ag
e
m
e
n
t o
f
b
ig
d
ata
an
d
i
n
f
o
r
m
atio
n
r
elate
d
to
s
u
p
p
ly
a
n
d
d
e
m
a
n
d
at
r
etail
a
n
d
m
an
u
f
ac
t
u
r
e
h
av
e
to
m
a
n
ag
e
u
s
i
n
g
tec
h
n
o
lo
g
y
s
o
th
at
th
e
tr
an
s
ac
tio
n
p
r
o
ce
s
s
t
h
at
o
cc
u
r
s
ca
n
r
u
n
q
u
ic
k
l
y
a
n
d
ac
cu
r
atel
y
[
3
4
]
.
T
h
is
o
p
ti
m
al
o
r
d
er
f
u
zz
y
m
o
d
el
u
s
e
s
s
u
p
p
l
y
a
n
d
d
e
m
a
n
d
in
f
o
r
m
atio
n
b
u
t to
m
a
n
ag
e
t
h
e
s
y
s
t
e
m
u
p
s
tr
ea
m.
T
h
e
o
p
tim
a
l
o
r
d
er
in
g
m
o
d
el
in
th
e
S
AFE
A
ap
p
licatio
n
ca
n
id
en
ti
f
y
d
ata
a
n
d
ca
r
r
y
o
u
t
d
ata
p
r
o
ce
s
s
in
g
lear
n
in
g
p
r
o
ce
s
s
es
b
ased
o
n
d
aily
tr
an
s
ac
tio
n
m
o
d
el
s
.
T
h
is
m
o
d
el
w
il
l
co
n
t
in
u
e
to
s
t
u
d
y
ev
er
y
tr
an
s
ac
tio
n
d
ata
t
h
at
o
cc
u
r
s
s
o
th
at
t
h
e
n
u
m
b
er
o
f
o
r
d
er
s
t
o
s
u
p
p
lier
s
w
ill
b
e
o
p
ti
m
al
.
Se
v
er
al
r
ec
en
t
s
t
u
d
ies
[
3
5
]
–
[
3
7
]
h
av
e
s
u
g
g
e
s
ted
th
at
m
ac
h
in
e
lear
n
i
n
g
is
n
ee
d
ed
to
g
et
a
s
i
m
p
le
a
n
d
m
o
r
e
ac
ce
s
s
ib
le
m
eth
o
d
b
y
d
o
w
n
lo
ad
i
n
g
ex
p
er
i
m
en
t
s
i
m
u
latio
n
d
ata
p
ac
k
ag
e
s
an
d
cr
ea
tin
g
in
tell
ig
e
n
t
d
ec
is
io
n
m
ak
in
g
[
3
8
]
–
[
4
2
]
h
av
e
s
u
g
g
e
s
ted
t
h
at
m
ac
h
i
n
e
lear
n
i
n
g
p
r
o
v
e
s
th
e
ab
il
it
y
o
f
co
m
p
u
ter
alg
o
r
ith
m
s
to
i
m
p
r
o
v
e
p
er
f
o
r
m
a
n
ce
o
v
er
ti
m
e,
h
an
d
le
d
ata
m
o
r
e
e
f
f
icie
n
tl
y
,
s
elec
t
r
ele
v
a
n
t
f
ea
t
u
r
es
a
n
d
p
o
w
er
s
y
s
te
m
r
el
iab
ilit
y
.
Ma
ch
in
e
lear
n
in
g
ca
n
i
m
p
r
o
v
e
p
er
f
o
r
m
an
ce
b
y
m
o
d
elin
g
t
h
e
tr
an
s
ien
t
s
i
n
th
e
s
w
it
ch
es,
o
n
e
o
f
w
h
ic
h
i
s
t
h
e
ag
r
i
cu
lt
u
r
al
s
ec
to
r
[
4
3
]
,
[
4
4
]
.
I
n
th
e
f
u
tu
r
e,
t
h
is
m
ac
h
in
e
lear
n
i
n
g
w
ill
o
p
en
u
p
a
lear
n
in
g
to
o
l
i
n
d
u
s
tr
y
t
h
at
p
r
o
m
i
s
es
to
s
o
l
v
e
p
r
o
b
lem
s
an
d
a
n
al
y
s
e
d
ata
th
an
A
r
ti
f
icia
l
I
n
telli
g
e
n
ce
[
4
5
]
.
B
ased
o
n
th
e
b
alan
ce
o
f
s
u
p
p
ly
a
n
d
d
em
a
n
d
f
o
r
ch
ick
e
n
e
g
g
s
,
t
h
e
r
esear
ch
er
d
ev
elo
p
ed
th
e
S
AFE
A
ap
p
licati
o
n
in
w
h
ic
h
t
h
er
e
is
a
m
o
d
el
f
o
r
d
eter
m
i
n
i
n
g
t
h
e
o
p
tim
a
l
n
u
m
b
er
o
f
o
r
d
er
s
.
T
h
is
ap
p
licatio
n
is
t
h
e
f
ir
s
t
ap
p
lic
atio
n
u
s
ed
b
y
eg
g
a
g
en
t
s
to
id
en
ti
f
y
t
h
e
o
p
ti
m
al
n
u
m
b
er
o
f
c
h
ic
k
en
eg
g
s
f
o
r
s
u
p
p
lier
s
in
r
ea
l
ti
m
e
u
s
i
n
g
a
f
u
zz
y
lo
g
ic
ap
p
r
o
ac
h
.
T
h
e
s
u
p
p
ly
an
d
d
e
m
an
d
o
f
eg
g
a
g
en
t
s
ar
e
w
ell
m
ain
tain
e
d
.
Fu
z
z
y
lo
g
ic
ca
n
id
en
t
if
y
li
n
g
u
i
s
tic
v
ar
iab
le
s
in
to
v
ar
iab
le
s
th
at
h
a
v
e
r
atio
n
al
n
u
m
b
er
s
f
o
r
m
u
lt
i
-
cr
iter
ia
d
ec
is
io
n
m
a
k
i
n
g
[
4
6
]
.
T
h
e
o
p
ti
m
al
n
u
m
b
er
o
f
o
r
d
er
s
ca
n
i
n
cr
ea
s
e
p
r
o
f
it
s
to
d
eter
m
in
e
p
r
o
d
u
ct
r
eq
u
est
s
to
in
cr
ea
s
e
p
r
o
f
its
[
4
7
]
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
d
ev
elo
p
m
e
n
t
o
f
t
h
e
o
p
ti
m
al
o
r
d
er
m
o
d
el
in
th
e
S
A
FE
A
u
s
i
n
g
a
f
u
zz
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g
ic
ap
p
r
o
ac
h
.
P
o
u
r
j
av
ad
an
d
Sh
a
h
i
n
[
4
8
]
h
as
s
u
g
g
es
ted
th
at
th
e
d
e
v
elo
p
m
e
n
t
o
f
t
h
is
f
u
zz
y
m
o
d
el
u
s
e
s
th
e
Ma
m
d
a
n
i
f
u
z
z
y
i
n
f
er
e
n
ce
s
s
y
s
te
m
,
w
h
er
e
th
e
in
p
u
t
w
i
ll
b
e
p
r
o
ce
s
s
ed
u
s
i
n
g
a
n
i
n
f
er
en
ce
e
n
g
i
n
e
to
p
r
o
d
u
ce
s
p
ec
if
ic
r
es
u
lt
s
i
n
t
h
e
d
ef
u
zz
i
f
icatio
n
p
r
o
ce
s
s
o
f
th
e
C
r
ip
s
v
ar
iab
le
o
w
n
ed
.
T
h
e
s
tag
es
i
n
d
ev
elo
p
in
g
th
e
o
p
ti
m
al
o
r
d
er
f
u
zz
y
m
o
d
el
in
th
e
S
A
FE
A
ap
p
licatio
n
ar
e:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
I
n
t J
A
r
ti
f
I
n
tell
,
Vo
l.
10
,
No
.
4
,
Dec
em
b
er
2
0
2
1
:
8
5
8
-
871
860
2
.
1
.
F
uzzy
m
e
m
b
er
s
h
ip f
un
c
t
io
n
Fu
zz
y
lo
g
ic
ca
n
d
eter
m
i
n
e
t
h
e
o
p
tim
al
n
u
m
b
er
o
f
o
r
d
er
s
b
ased
o
n
in
p
u
t
an
d
o
u
tp
u
t
v
ar
i
ab
les.
T
h
e
in
p
u
t
v
ar
iab
le
is
o
b
tain
ed
f
r
o
m
t
h
e
ac
t
u
al
co
n
d
itio
n
o
f
t
h
e
eg
g
ag
e
n
t
i
n
d
eter
m
in
i
n
g
t
h
e
n
u
m
b
er
o
f
o
r
d
er
s
w
h
ic
h
is
t
h
en
d
e
v
elo
p
ed
in
to
a
f
u
zz
y
s
y
s
te
m
.
T
h
e
in
f
er
en
ce
s
y
s
te
m
u
s
ed
in
d
ev
e
lo
p
in
g
t
h
i
s
m
o
d
el
i
s
:
T
r
ian
g
u
lar
m
e
m
b
er
s
h
ip
f
u
n
c
ti
o
n
R
aj
esh
[
4
9
]
h
as
s
u
g
g
ested
t
h
at
th
e
tr
ia
n
g
u
lar
m
e
m
b
er
s
h
ip
f
u
n
c
tio
n
u
s
ed
w
h
e
n
t
h
er
e
i
s
o
n
e
p
ea
k
v
al
u
e
o
f
th
e
d
eg
r
ee
o
f
f
r
ee
d
o
m
o
f
th
e
p
ar
am
eter
,
n
a
m
el
y
1
,
in
th
e
in
p
u
t
a
n
d
o
u
tp
u
t
v
ar
iab
les.
T
h
e
p
ar
am
eter
v
alu
e
s
o
f
ea
ch
v
ar
iab
le
in
th
i
s
m
e
m
b
er
s
h
ip
s
et
w
ill
b
e
ad
ju
s
ted
to
th
e
co
n
d
itio
n
o
f
t
h
e
eg
g
ag
e
n
t
in
m
an
a
g
i
n
g
t
h
e
tr
a
n
s
ac
tio
n
p
r
o
ce
s
s
e
v
er
y
d
a
y
.
B
ased
o
n
t
h
e
g
r
ap
h
o
f
t
h
e
m
e
m
b
er
s
h
ip
s
et
ab
o
v
e,
it
ca
n
b
e
d
eter
m
in
ed
t
h
e
v
al
u
e
o
f
t
h
e
m
e
m
b
er
s
h
ip
s
e
t
v
al
u
e
μ
F (
a,
b
,
c
)
: R→[0
,
1
]
.
T
r
a
p
ez
o
id
al
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
R
ez
ae
i
a
n
d
Or
tt
[
5
0
]
h
as
s
u
g
g
ested
t
h
at
t
h
e
tr
ap
ez
o
id
al
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
u
s
ed
w
h
en
th
er
e
is
m
o
r
e
th
an
o
n
e
m
a
x
i
m
u
m
v
alu
e
o
f
d
eg
r
ee
s
o
f
f
r
ee
d
o
m
,
n
a
m
el
y
1
.
T
h
is
m
e
m
b
er
s
h
ip
s
et
is
u
s
ed
b
ec
au
s
e
th
er
e
ar
e
v
ar
iab
les
t
h
at
a
f
f
ec
t
t
h
e
o
p
ti
m
al
o
r
d
er
h
a
v
in
g
s
ev
er
al
p
ar
a
m
eter
s
w
i
th
a
m
ax
i
m
u
m
v
a
lu
e
o
f
m
e
m
b
er
s
h
ip
d
eg
r
ee
.
B
ased
o
n
th
is
m
e
m
b
er
s
h
ip
s
e
t
g
r
ap
h
,
th
e
m
e
m
b
er
s
h
ip
s
et
v
al
u
e
μ
F
(
a,
b
1
,
b
2
,
c)
:
R
→[
0
,
1
]
.
2
.
2
.
F
uzzy
rule
ba
s
e
Fu
zz
y
r
u
le
b
a
s
e
in
m
a
n
a
g
in
g
f
u
zz
y
I
n
p
u
t
v
ar
iab
les
u
s
i
n
g
t
h
e
“
I
F
T
HA
N
E
L
SE
”
p
r
in
cip
le
to
d
eter
m
in
e
t
h
e
v
al
u
e
o
f
th
e
s
el
ec
ted
f
u
zz
y
o
p
er
ato
r
.
T
h
e
s
elec
ted
f
u
zz
y
r
u
les
b
ase
w
ill
b
e
u
s
ed
to
ca
lcu
late
th
e
o
p
tim
a
l
o
r
d
er
v
alu
e
d
u
r
in
g
t
h
e
d
ef
u
zz
i
f
icatio
n
p
r
o
ce
s
s
.
T
h
e
Fu
zz
y
r
u
le
b
ase
is
R
i:
I
f
X1
is
A
1
i
an
d
X2
is
A
2
i,
an
X
m
is
Am
i
T
h
e
n
Y
is
B
i;
i
=1
;
2
;…n
w
it
h
t
h
e
o
p
er
ato
r
u
s
ed
is
“
a
n
d
”
s
o
th
a
t
th
e
s
elec
te
d
o
p
er
ato
r
v
alu
e
i
s
th
e
m
in
i
m
u
m
v
al
u
e
[
5
1
]
,
[
5
2
]
.
2
.
3
.
Def
uzzif
ica
t
io
n
T
h
e
d
ef
u
zz
i
f
icatio
n
p
r
o
ce
s
s
u
s
es
t
h
e
ce
n
ter
o
f
ar
ea
(
C
O
A
)
m
et
h
o
d
.
T
h
is
m
et
h
o
d
u
s
e
s
t
h
e
m
o
m
e
n
t
v
alu
e
a
n
d
th
e
w
id
th
ar
ea
in
t
h
e
o
u
tp
u
t
v
ar
iab
le
b
ased
o
n
th
e
s
elec
ted
f
u
zz
y
o
p
er
ato
r
.
T
h
e
f
o
r
m
u
latio
n
o
f
th
e
C
O
A
m
eth
o
d
is
:
=
∫
(
)
=
0
∫
(
)
=
0
2
.
4
.
Wa
t
er
f
a
ll SDL
C
m
et
ho
d
T
h
e
s
o
f
t
w
ar
e
p
r
o
ce
s
s
m
o
d
el
r
ep
r
esen
ts
th
e
s
o
f
t
w
ar
e
p
r
o
ce
s
s
f
r
o
m
a
p
ar
ticu
lar
p
er
s
p
ec
tiv
e
an
d
p
ar
tial
s
y
s
te
m
i
n
f
o
r
m
atio
n
t
h
at
m
o
r
e
f
le
x
ib
le
[
5
3
]
.
T
h
e
p
r
o
ce
s
s
o
f
m
a
k
i
n
g
th
is
s
o
f
t
w
ar
e
is
k
n
o
w
n
as
t
h
e
s
y
s
te
m
d
ev
elo
p
m
en
t
li
f
e
c
y
cle
(
SD
L
C
)
w
it
h
th
e
cr
ea
tio
n
f
o
u
r
p
h
ases
o
f
a
s
tr
u
ct
u
r
ed
s
o
f
t
w
ar
e
p
r
o
d
u
ct
[
5
4
]
.
SDL
C
o
r
g
an
izatio
n
r
ef
er
s
to
s
ec
u
r
e
a
s
o
f
t
w
ar
e
[
5
5
]
.
T
h
e
w
ater
f
all
m
o
d
el
u
s
ed
f
o
r
co
n
tr
o
llin
g
an
d
p
r
o
tectin
g
a
s
eq
u
en
tial
d
ev
elo
p
m
en
t
m
o
d
el
ap
p
lied
to
g
o
v
er
n
m
en
t
p
r
o
j
ec
ts
,
s
m
all
b
u
s
i
n
ess
e
s
,
to
th
o
u
s
an
d
s
o
f
lar
g
e
co
m
p
a
n
ies
s
u
c
h
as
m
ed
ical
s
ec
to
r
[
5
6
]
,
[
5
7
]
.
T
h
e
w
o
r
k
o
n
th
i
s
m
o
d
el
is
d
iv
id
ed
in
t
o
6
p
h
ases
,
n
a
m
el
y
s
en
s
in
g
,
s
i
g
n
al
p
r
o
ce
s
s
i
n
g
,
f
e
atu
r
e
ex
tr
ac
tio
n
,
p
atter
n
p
r
o
ce
s
s
i
n
g
,
s
it
u
atio
n
a
s
s
e
s
m
e
n
t
,
d
e
cisi
o
n
m
a
k
in
g
[
5
8
]
as
w
ell
a
s
t
h
e
ad
d
itio
n
,
n
a
m
el
y
w
it
h
o
u
t
p
lan
n
ed
iter
atio
n
to
k
ee
p
d
ev
elo
p
m
en
t
co
s
t,
d
u
r
a
tio
n
,
an
d
r
e
s
u
l
tin
g
p
r
o
d
u
ct
q
u
alit
y
[
5
9
]
ad
d
in
g
m
o
r
e
ap
p
r
o
ac
h
to
d
ev
elo
p
e
a
s
o
f
t
w
ar
e
[
6
0
]
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
Dev
elo
p
m
e
n
t
o
f
S
AFE
A
u
s
es
a
f
u
zz
y
lo
g
ic
ap
p
r
o
ac
h
to
d
et
er
m
in
e
o
p
ti
m
al
o
r
d
er
s
to
s
u
p
p
lier
s
.
T
h
is
o
p
tim
a
l
o
r
d
er
m
o
d
el
w
as
d
e
v
elo
p
ed
b
ased
o
n
th
e
v
ar
iab
les
th
at
a
f
f
ec
t
t
h
e
s
u
p
p
l
y
a
n
d
d
em
an
d
o
f
e
g
g
ag
e
n
t
s
.
T
h
e
s
tag
es
o
f
d
eter
m
i
n
i
n
g
th
e
o
p
tim
a
l
o
r
d
er
in
th
e
S
A
FE
A
a
p
p
licatio
n
ca
n
b
e
s
ee
n
i
n
th
e
f
o
llo
w
i
n
g
F
ig
u
r
e
1.
Var
iab
les
th
at
i
n
f
lu
e
n
ce
t
h
e
d
ev
elo
p
m
en
t
o
f
th
i
s
m
o
d
el
a
r
e
th
e
f
i
n
al
s
to
c
k
o
f
eg
g
s
,
e
g
g
d
e
m
a
n
d
,
an
d
th
e
s
elli
n
g
p
r
ice
o
f
th
e
cr
ate.
T
h
ese
th
r
ee
v
ar
iab
les
w
i
ll
b
e
d
ev
elo
p
ed
in
th
e
f
o
r
m
o
f
a
m
e
m
b
er
s
h
ip
s
et
b
ased
o
n
th
e
ac
t
u
al
co
n
d
itio
n
o
f
t
h
e
e
g
g
a
g
en
t
tr
an
s
ac
tio
n
.
T
h
e
d
e
v
e
lo
p
m
e
n
t
o
f
f
u
zz
y
lo
g
ic
o
n
t
h
e
o
p
ti
m
al
o
r
d
er
in
g
m
en
u
f
o
r
eg
g
s
to
s
u
p
p
lier
s
h
a
s
s
ev
er
al
s
tag
e
s
a
n
d
u
s
es t
h
e
M
atlab
ap
p
licatio
n
to
cr
ea
te
a
f
u
zz
y
s
et
m
o
d
el.
T
h
e
s
tag
e
s
o
f
m
o
d
el
s
i
m
u
latio
n
an
d
th
e
r
esu
lt
s
o
f
t
h
e
o
p
ti
m
al
o
r
d
er
d
ef
u
zz
i
f
icatio
n
i
n
t
h
e
S
A
FE
A
ap
p
licatio
n
ar
e
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
r
ti
f
I
n
tell
I
SS
N:
2252
-
8938
S
A
F
E
A
a
p
p
lica
tio
n
d
esig
n
o
n
d
etermin
in
g
th
e
o
p
tima
l o
r
d
e
r
q
u
a
n
tity o
f c
h
icke
n
…
(
S
esa
r
Hu
s
en
S
a
n
to
s
a
)
861
Fig
u
r
e
1
.
Flo
w
c
h
ar
t f
o
r
d
eter
m
i
n
in
g
o
p
ti
m
a
l o
r
d
er
in
th
e
S
AFE
A
ap
p
licatio
n
3
.
1
.
O
ptim
a
l o
rder
m
e
m
ber
s
hip
f
u
n
ct
io
n
T
h
e
m
e
m
b
er
s
h
ip
s
et
is
b
u
ilt
b
ased
o
n
ac
tu
a
l
co
n
d
itio
n
s
i
n
t
h
e
f
ield
.
T
h
e
in
p
u
t
v
ar
iab
les
u
s
ed
i
n
t
h
e
S
A
FE
A
ap
p
licatio
n
ar
e
th
e
s
ellin
g
p
r
ice,
co
n
s
u
m
er
d
e
m
a
n
d
,
an
d
s
to
ck
av
a
ilab
ilit
y
a
t
th
e
eg
g
ag
e
n
t.
T
h
e
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
g
r
ap
h
u
s
ed
ca
n
b
e
s
ee
n
i
n
th
e
f
o
llo
win
g
F
i
g
u
r
e
2
.
T
h
e
o
u
tp
u
t
m
e
m
b
er
s
h
ip
s
et
o
f
t
h
is
f
u
zz
y
m
o
d
el
is
th
e
o
p
ti
m
al
n
u
m
b
er
o
f
o
r
d
er
s
f
r
o
m
th
e
eg
g
a
g
en
t
to
th
e
s
u
p
p
lier
b
ased
o
n
t
h
e
co
n
d
itio
n
o
f
th
e
a
m
o
u
n
t o
f
s
to
ck
,
th
e
s
elli
n
g
p
r
ice
o
f
eg
g
s
,
an
d
t
h
e
d
e
m
a
n
d
f
o
r
eg
g
s
.
T
h
e
g
r
ap
h
o
f
th
e
s
et
o
f
v
ar
iab
l
e
m
e
m
b
er
s
h
ip
s
t
h
at
af
f
ec
t
t
h
e
o
p
tim
a
l
n
u
m
b
er
o
f
o
r
d
er
s
ca
n
b
e
s
ee
n
i
n
Fig
u
r
e
2
.
Fig
u
r
e
2
(
a)
s
h
o
w
t
h
e
g
r
ap
h
o
f
f
in
al
e
g
g
s
to
ck
m
e
m
b
er
s
h
ip
s
e
t
u
s
e
s
a
co
m
b
i
n
ati
o
n
o
f
tr
ian
g
u
lar
an
d
tr
ap
ez
o
id
al
m
e
m
b
er
s
h
ip
f
u
n
c
t
io
n
s
w
it
h
t
h
e
h
i
g
h
e
s
t
p
ar
a
m
et
er
v
alu
e
l
i
m
it
is
3
0
0
cr
ates.
T
h
e
g
r
ap
h
o
f
t
h
e
e
g
g
d
em
a
n
d
m
e
m
b
er
s
h
ip
s
et
u
s
e
s
4
p
ar
am
eter
s
.
Fi
g
u
r
e
2
(
b
)
s
h
o
w
co
m
b
i
n
atio
n
o
f
tr
ia
n
g
u
lar
an
d
tr
ap
ez
o
id
al
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
w
it
h
a
m
ax
i
m
u
m
d
e
m
a
n
d
v
al
u
e
o
f
2
0
0
c
r
ates.
Fig
u
r
e
2
(
c)
s
h
o
w
t
h
e
g
r
ap
h
o
f
t
h
e
m
e
m
b
er
s
h
ip
s
et
s
e
lli
n
g
p
r
ice
is
d
eter
m
in
ed
b
ased
o
n
t
h
e
tr
an
s
ac
tio
n
ac
ti
v
it
ies
o
f
t
h
e
e
g
g
ag
e
n
t
w
h
er
e
t
h
er
e
ar
e
3
p
ar
am
eter
s
u
s
ed
w
it
h
t
h
e
lo
w
es
t
s
ell
in
g
p
r
ice
b
ein
g
R
p
.
3
0
0
.
0
0
0
an
d
th
e
h
ig
h
est
s
el
lin
g
p
r
ice
b
ein
g
R
p
.
3
8
0
.
0
0
0
.
T
h
e
v
alu
e
o
f
t
h
e
d
eg
r
ee
o
f
m
e
m
b
er
s
h
ip
t
h
at
o
cc
u
r
s
i
n
t
h
e
t
h
r
ee
v
ar
iab
les t
h
at
a
f
f
ec
t t
h
e
o
p
ti
m
al
o
r
d
er
w
il
l
th
e
n
b
e
p
r
o
ce
s
s
ed
th
r
o
u
g
h
a
d
ef
u
zz
i
f
icatio
n
o
p
ti
m
al
o
r
d
er
.
T
h
e
d
ef
u
zz
if
icat
io
n
p
r
o
ce
s
s
w
ill
b
e
ca
r
r
ied
o
u
t
o
n
t
h
e
o
p
ti
m
al
o
r
d
er
m
e
m
b
er
s
h
ip
s
et
to
g
et
t
h
e
o
p
ti
m
al
eg
g
o
r
d
er
f
u
zz
y
v
al
u
e.
T
h
e
o
p
ti
m
al
o
r
d
er
n
u
m
b
er
m
e
m
b
er
s
h
ip
s
et
u
s
e
s
4
p
ar
a
m
eter
s
:
lo
w
,
m
ed
iu
m
,
h
i
g
h
,
an
d
v
er
y
h
ig
h
.
T
h
e
o
p
ti
m
a
l
o
r
d
er
f
u
zz
y
m
e
m
b
er
s
h
ip
s
et
ca
n
b
e
s
ee
n
i
n
t
h
e
f
o
llo
w
i
n
g
F
i
g
u
r
e
3
.
T
h
e
m
o
d
el
v
er
i
f
i
ca
tio
n
p
r
o
ce
s
s
i
s
ca
r
r
ied
o
u
t
b
y
e
n
ter
in
g
t
h
e
f
i
n
al
s
to
ck
v
al
u
e
o
f
9
0
cr
ates,
a
n
d
t
h
en
th
e
e
n
d
s
to
c
k
m
e
m
b
er
s
h
ip
d
eg
r
ee
v
al
u
e
i
s
µe
n
d
_
Sto
ck
(
a,
b
,
c)
=
0
,
3
3
.
T
h
ese
r
esu
lt
s
s
h
o
w
t
h
at
t
h
e
f
in
a
l
s
to
ck
co
n
d
itio
n
i
s
in
th
e
m
ed
iu
m
p
ar
a
m
eter
,
n
a
m
el
y
9
0
cr
ates,
s
o
th
e
d
eg
r
ee
o
f
m
e
m
b
er
s
h
ip
u
s
ed
to
d
eter
m
in
e
th
e
f
u
zz
y
o
p
er
ato
r
is
0
.
3
3
.
T
h
e
Me
m
b
e
r
s
h
ip
F
u
n
ct
io
n
f
o
r
th
e
en
d
s
to
c
k
is
as:
F
x
(
e
n
d
S
t
o
c
k
)
x
≤
0
1
X
-
4
0
1
5
0
0
≤
x
≤
3
0
4
0
≤
x
≤
5
5
8
0
–
x
2
5
2
5
0
≤
x
≤
3
0
0
X
-
1
8
0
7
0
1
8
0
≤
x
≤
2
5
0
X
-
7
0
6
0
7
0
≤
x
≤
1
3
0
2
0
0
-
X
7
0
1
3
0
≤
x
≤
2
0
0
1
5
5
≤
x
≤
8
0
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
I
n
t J
A
r
ti
f
I
n
tell
,
Vo
l.
10
,
No
.
4
,
Dec
em
b
er
2
0
2
1
:
8
5
8
-
871
862
(
a)
(
b
)
(
c)
Fig
u
r
e
2
.
T
h
e
g
r
ap
h
o
f
th
e
s
et
o
f
v
ar
iab
le
m
e
m
b
er
s
h
ip
s
f
u
n
ct
io
n
th
at
a
f
f
ec
t th
e
o
p
ti
m
al
n
u
m
b
er
o
f
o
r
d
er
s
(
a)
Sto
ck
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
(
c
r
ate)
,
(
b
)
d
em
an
d
m
e
m
b
er
s
h
i
p
f
u
n
ctio
n
(
cr
ate)
,
(
c)
s
ellin
g
p
r
ice
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
(
x
1
0
0
0
)
B
ased
o
n
th
e
n
u
m
b
er
o
f
r
eq
u
est
s
f
o
r
1
5
0
cr
ates,
th
e
v
al
u
e
o
f
t
h
e
r
eq
u
est
m
e
m
b
er
s
h
i
p
d
eg
r
ee
is
µd
e
m
an
d
(
a,
b
,
c)
=
0
,
5
.
T
h
ese
r
esu
lts
s
h
o
w
th
a
t
t
h
e
d
em
an
d
e
g
g
co
n
d
itio
n
is
i
n
t
h
e
m
ed
i
u
m
p
ar
a
m
eter
,
n
a
m
e
l
y
1
5
0
cr
ates,
s
o
th
e
d
eg
r
ee
o
f
m
e
m
b
er
s
h
ip
u
s
ed
to
d
eter
m
in
e
t
h
e
f
u
zz
y
o
p
er
ato
r
is
0
,
5
.
T
h
e
s
et
o
f
m
e
m
b
er
s
h
ip
r
eq
u
est
s
i
s:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
r
ti
f
I
n
tell
I
SS
N:
2252
-
8938
S
A
F
E
A
a
p
p
lica
tio
n
d
esig
n
o
n
d
etermin
in
g
th
e
o
p
tima
l o
r
d
e
r
q
u
a
n
tity o
f c
h
icke
n
…
(
S
esa
r
Hu
s
en
S
a
n
to
s
a
)
863
F
x
(
D
e
m
a
n
d
)
x
≤
0
1
X
-
5
0
5
0
0
0
≤
x
≤
2
0
5
0
≤
x
≤
1
0
0
1
6
0
–
x
6
0
1
6
0
≤
x
≤
2
0
0
X
-
1
4
0
2
0
1
4
0
≤
x
≤
1
6
0
1
1
0
0
≤
x
≤
1
6
0
6
0
-
X
4
0
2
0
≤
x
≤
6
0
B
ased
o
n
th
e
s
elli
n
g
p
r
ice
o
f
R
p
.
3
4
0
,
0
0
0
,
th
e
v
alu
e
o
f
th
e
d
e
m
a
n
d
m
e
m
b
er
s
h
ip
d
eg
r
ee
is
µS
ellin
g
_
P
r
ice
(
a,
b
,
c)
=
0
,
7
5
.
T
h
ese
r
es
u
lts
s
h
o
w
t
h
at
th
e
s
elli
n
g
p
r
ice
co
n
d
it
io
n
is
i
n
t
h
e
m
ed
i
u
m
p
ar
am
eter
,
n
a
m
el
y
R
p
3
4
0
.
0
0
0
,
s
o
th
e
d
eg
r
ee
o
f
m
e
m
b
er
s
h
ip
u
s
ed
to
d
eter
m
in
e
t
h
e
f
u
zz
y
o
p
er
ato
r
is
0
,
7
5
.
T
h
e
s
ellin
g
p
r
ice
m
e
m
b
er
s
h
ip
s
et
is
:
F
x
(
S
e
l
l
i
n
g
P
r
i
c
e
)
x
≤
3
0
0
.
0
0
0
0
X
-
3
0
0
.
0
0
0
1
5
.
0
0
0
3
0
0
.
0
0
0
≤
x
≤
3
1
5
.
0
0
0
3
3
0
.
0
0
0
-
X
1
5
.
0
0
0
3
1
5
.
0
0
0
≤
x
≤
3
3
0
.
0
0
0
X
-
3
2
5
.
0
0
0
2
0
.
0
0
0
3
6
5
.
0
0
0
≤
x
≤
3
8
0
.
0
0
0
3
6
5
.
0
0
0
-
X
2
0
.
0
0
0
3
4
5
.
0
0
0
≤
x
≤
3
6
5
.
0
0
0
X
-
3
5
5
.
0
0
0
1
0
.
0
0
0
3
5
5
.
0
0
0
≤
x
≤
3
6
5
.
0
0
0
3
3
0
.
0
0
0
≤
x
≤
3
4
5
.
0
0
0
1
Fig
u
r
e
3
.
Op
ti
m
al
o
r
d
er
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
3
.
2
.
F
uzzy
rule
ba
s
e
T
h
e
n
ex
t
s
tep
is
to
d
eter
m
i
n
e
th
e
p
o
s
s
ib
le
f
u
zz
y
r
u
le
b
ase
b
ased
o
n
th
e
m
e
m
b
er
s
h
ip
s
e
t
o
f
in
p
u
t
v
ar
iab
les
a
n
d
o
u
tp
u
t
v
ar
iab
les.
T
h
e
r
u
le
i
s
b
ased
o
n
t
h
e
“
a
n
d
”
o
p
er
ato
r
,
an
d
th
e
o
p
er
ato
r
'
s
v
al
u
e
i
s
“
m
i
n
i
m
u
m
”,
th
e
n
t
h
er
e
ar
e
1
4
4
p
o
s
s
ib
ilit
ies
t
h
at
o
cc
u
r
.
T
h
e
s
i
m
u
latio
n
o
f
th
e
f
u
zz
y
r
u
le
b
ase
u
s
in
g
th
e
r
u
l
e
ed
ito
r
in
th
e
Ma
tlab
ap
p
licatio
n
ca
n
b
e
s
ee
n
in
t
h
e
f
o
llo
w
i
n
g
F
ig
u
r
e
4.
B
ased
o
n
th
e
f
u
zz
y
r
u
le
b
ase
r
esu
lts
,
it
ca
n
b
e
d
eter
m
i
n
ed
th
e
v
al
u
e
o
f
th
e
o
p
er
ato
r
u
s
ed
in
th
e
d
eg
r
ee
o
f
m
e
m
b
er
s
h
ip
o
f
t
h
e
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er
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h
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(
[
1
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0
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536
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1
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(
0
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33
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;
0
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I
SS
N
:
2
2
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8938
I
n
t J
A
r
ti
f
I
n
tell
,
Vo
l.
10
,
No
.
4
,
Dec
em
b
er
2
0
2
1
:
8
5
8
-
871
864
Fig
u
r
e
4
.
Fu
zz
y
r
u
le
b
ase
f
o
r
o
p
tim
a
o
r
d
er
in
m
a
tlab
ap
p
licatio
n
3
.
3
.
O
ptim
a
l o
rder
def
uzzy
f
ica
t
io
n
Def
u
zz
if
icatio
n
o
f
th
e
o
p
ti
m
a
l
o
r
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er
in
g
o
f
ch
ic
k
e
n
eg
g
s
u
s
in
g
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e
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O
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m
et
h
o
d
b
y
co
m
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ar
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g
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h
e
r
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lti
n
g
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o
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en
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it
h
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e
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ea
o
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th
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ti
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al
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g
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tp
u
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ar
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le.
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h
e
to
tal
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en
t
o
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tain
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t
h
e
o
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tim
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l
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er
s
i
m
u
la
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n
i
s
3
5
2
5
.
3
7
.
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m
en
t
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ased
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lt
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e
m
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er
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ip
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101
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th
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2
1
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Ver
if
icatio
n
o
f
th
e
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ea
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e
n
er
ated
b
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t
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o
p
tim
al
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er
m
e
m
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er
s
h
ip
s
et
is
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1
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7
3
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3
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22
Evaluation Warning : The document was created with Spire.PDF for Python.
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n
t J
A
r
ti
f
I
n
tell
I
SS
N:
2252
-
8938
S
A
F
E
A
a
p
p
lica
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n
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etermin
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r
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tity o
f c
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icke
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r
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s
en
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a
n
to
s
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865
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6
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8
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–
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0
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3
3
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4
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2
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A
7
=
(
1
0
1
,
7
–
8
8
,
3
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x
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,
3
3
=
4
,
4
22
W
A
8
=
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1
0
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1
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2
2
B
ased
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n
t
h
e
C
O
A
m
e
th
o
d
,
t
h
e
o
p
ti
m
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r
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er
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e
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0
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r
ate
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y
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m
p
ar
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g
th
e
m
o
m
en
t
a
n
d
t
h
e
ar
ea
.
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h
e
v
er
if
icatio
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o
f
o
p
ti
m
al
o
r
d
er
d
ef
u
zz
i
f
icatio
n
u
s
in
g
Ma
tlab
s
o
f
t
w
ar
e
s
h
o
w
ed
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e
s
a
m
e
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n
a
m
e
l
y
1
0
0
cr
ates.
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tim
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r
d
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d
ef
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zz
if
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g
s
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atlab
s
o
f
t
w
ar
e
ca
n
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e
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ee
n
in
t
h
e
f
o
llo
w
i
n
g
Fig
u
r
e
5
.
Fig
u
r
e
5
.
Op
ti
m
al
o
r
d
er
d
ef
u
zz
if
icatio
n
o
f
eg
g
s
u
s
in
g
m
atla
b
s
o
f
t
w
ar
e
3
.
4
.
Appl
ica
t
io
n o
f
t
he
o
pti
m
a
l o
rder
f
uzzy
m
o
del in t
h
e
SAFEA a
pp
l
ica
t
io
n
B
ased
o
n
t
h
e
v
er
i
f
icatio
n
o
f
t
h
e
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p
ti
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er
in
g
f
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zz
y
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o
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o
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m
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asis
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el
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ap
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lica
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ased
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itio
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er
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o
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el
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n
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A
FE
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ap
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licatio
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w
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ll
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e
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ase
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ar
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at
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n
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s
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r
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n
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ip
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g
r
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E
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ee
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th
e
f
o
llo
w
i
n
g
F
ig
u
r
e
6
.
<? php
Include ('con
nection.php');
$query="SELECT * FROM transaction_crate ORDER BY id ASC";
$result=mysqli_query($kon, $query);
$no=1;
while($record = mysqli_fetch_assoc($result)){
?>
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
I
n
t J
A
r
ti
f
I
n
tell
,
Vo
l.
10
,
No
.
4
,
Dec
em
b
er
2
0
2
1
:
8
5
8
-
871
866
Fig
u
r
e
6
.
E
n
tit
y
r
elat
io
n
s
h
ip
d
iag
r
a
m
(
E
R
D)
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p
ti
m
al
o
r
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er
T
h
e
th
r
ee
f
u
zz
y
i
n
p
u
t
v
ar
iab
le
s
w
ill b
e
i
n
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u
tted
in
r
ea
l ti
m
e
i
n
t
h
e
S
AFE
A
ap
p
licatio
n
b
y
t
h
e
u
s
er
o
n
th
e
cr
ate
tr
an
s
ac
tio
n
m
e
n
u
an
d
d
aily
r
ec
ap
.
T
h
e
s
elli
n
g
p
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ice
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d
th
e
n
u
m
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er
o
f
r
eq
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e
s
t
s
(
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r
ate
q
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a
n
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y
)
in
p
u
tted
b
y
t
h
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o
p
er
ato
r
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n
t
h
e
d
ail
y
cr
ate
tr
an
s
ac
tio
n
m
e
n
u
b
ec
o
m
e
a
u
to
m
at
i
ca
ll
y
i
n
p
u
t
in
to
th
e
o
p
ti
m
al
o
r
d
er
m
en
u
.
S
A
FE
A
ap
p
licati
o
n
eg
g
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ate
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ter
f
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e
ca
n
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e
s
ee
n
in
t
h
e
f
o
llo
w
in
g
Fi
g
u
r
e
7.
Fig
u
r
e
7
.
SAFE
A
ap
p
licatio
n
eg
g
cr
ate
i
n
ter
f
ac
e
<?php
include('connection.php');
$query = "SELECT * FROM transaction_crate ORDER
BY id ASC";
$result = mysqli_query($kon, $query);
$no = 1;
while($record = mysqli_fetch_assoc($result)){
?>
T
h
e
o
p
er
ato
r
w
ill
ca
lc
u
late
t
h
e
q
u
a
n
tit
y
o
f
s
to
c
k
b
ased
o
n
th
e
n
u
m
b
er
o
f
ar
r
iv
al
p
r
o
d
u
cts
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tr
an
s
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tio
n
s
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er
y
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a
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ail
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ap
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ter
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ac
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e
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r
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s
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ip
w
i
th
t
h
e
o
p
tim
a
l
o
r
d
er
tab
le
,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
r
ti
f
I
n
tell
I
SS
N:
2252
-
8938
S
A
F
E
A
a
p
p
lica
tio
n
d
esig
n
o
n
d
etermin
in
g
th
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o
p
tima
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r
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a
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tity o
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icke
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r
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n
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867
n
a
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e
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o
f
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h
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e
g
g
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ate
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ield
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g
g
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ate
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t
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ill
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e
r
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ap
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to
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ticall
y
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e
d
ail
y
r
ec
ap
m
e
n
u
o
n
t
h
e
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AFE
A
ap
p
licatio
n
.
S
A
FE
A
ap
p
licatio
n
tr
an
ca
tio
n
d
ail
y
r
ec
ap
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ter
f
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ec
an
b
e
s
ee
n
in
t
h
e
f
o
llo
w
in
g
F
i
g
u
r
e
8
.
<?php
include connection.php';
$query1=mysqli_query($kon,"SELECT cratetransaction.date,ifnull(sum(income1),'0')
income1,ifnull(sum(income2),'0') income2,ifnull(income3,'0')
income3,ifnull(sum(accounts_receivable1),'0')
accounts_receivable1,ifnull(sum(accounts_receivable2),'0')
accounts_receivable2,ifnull(sum(accounts_receivable3),'0')
accounts_receivable3,ifnull(sum(total),'0') >
Fig
u
r
e
8
.
SAFE
A
ap
p
licatio
n
t
r
an
ca
tio
n
d
ail
y
r
ec
ap
in
ter
f
ac
e
B
ased
o
n
t
h
e
tr
a
n
s
ac
tio
n
r
ec
a
p
d
atab
ase
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d
e
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g
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k
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a
p
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n
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h
e
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ap
p
licatio
n
,
t
h
e
o
p
ti
m
al
o
r
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er
d
ef
u
zz
if
icat
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n
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ce
s
s
w
il
l
ca
lc
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late
u
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g
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e
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en
te
r
Of
A
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et
h
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h
e
E
g
g
A
g
e
n
t
s
o
p
tim
a
l
n
u
m
b
er
o
f
o
r
d
er
s
.
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h
is
m
et
h
o
d
w
ill
d
eter
m
in
e
t
h
e
o
p
ti
m
al
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r
d
er
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alu
e
b
ase
d
o
n
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e
eg
g
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e
n
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tr
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ata
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er
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a
y
.
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h
e
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ap
p
licatio
n
w
ill
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ele
ct
th
e
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m
e
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an
d
ar
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f
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ch
in
p
u
t
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ar
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le
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et
t
h
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F
i
g
u
r
e
9.
<td style="border
-
color: #000;" class="text
-
center"><?php echo $no ?></td>
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e=
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at
($
da
te
n1
,'
Y
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d'); ?></td>
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p
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en
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]
?></td>
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gg
_c
ra
te
']
?></td>
<td style="border
-
color: #000;" class="text
-
center"><?php echo rupiah($sum) ?></td>
<td style="border
-
color: #000;" c
lass="text
-
center">
<?
ph
p
if
((
ab
s(
$s
to
ck
_e
nd
)>
='
50
'
AN
D
ab
s(
$s
to
c
k_
en
d)
>=
15
5)
AN
D
$q
ua
n
ti
ty
>=
'1
00
'
AN
D
$sum>='340000'){
echo '100'
}?>
B
ased
o
n
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e
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ata
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r
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ce
s
s
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a
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ates,
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ates.
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ai
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al
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atio
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h
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o
llo
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i
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g
Fig
u
r
e
1
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.
B
ased
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n
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e
f
u
zz
y
o
p
ti
m
a
l
o
r
d
er
in
F
ig
u
r
e
1
0
,
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e
e
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alu
at
io
n
r
es
u
lts
w
i
th
s
i
m
u
latio
n
te
s
ti
n
g
r
elate
d
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e
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al
s
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ck
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m
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ar
is
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et
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ee
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eg
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lar
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r
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an
d
f
u
zz
y
o
r
d
er
s
f
o
r
th
e
la
s
t
1
m
o
n
t
h
s
h
o
w
t
h
at
f
u
zz
y
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