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11194
1,
Co
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m
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c
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Curre
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r
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o
fre
q
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nc
y
ne
t
w
ork
[1]
.
A
c
c
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t
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s
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s
t
udi
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s
,
i
t
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t
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row
s
by
168
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x
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20
20
w
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t
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num
be
r
of
m
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m
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s
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w
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dw
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on
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.
H
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m
un
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m
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s
s
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on
of
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S
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s
[
3]
s
how
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m
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of
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[4]
.
Cogn
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R
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(
CR)
ri
s
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urr
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–
9]
.
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[
8,
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T
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c
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t
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v
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d
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w
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(D
CRN
).
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
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ond
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ry
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o
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i
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form
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t
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on
be
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w
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n
t
he
m
[
10,
12
,
13]
.
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hi
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rt
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pr
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s
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pa
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2.
R
ES
EA
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ET
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got
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ol
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da
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us
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for
a
D
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c
e
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2.
1
.
S
p
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c
tr
al
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g
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(V
IK
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R)
.
2.
1
.
1
.
T
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P
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S
T
hi
s
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go
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t
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ha
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(
1
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[15
–
19]
.
1
1
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a
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[20
–
2
2]
.
In
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,
23
–
25]
,
t
h
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pro
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8).
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(
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.
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ii
i
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w
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r
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ii
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l
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a
l
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of
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a
s
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i
n
(1
2).
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
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T
E
L
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m
put
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ol
.
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75
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**
V
I
K
i
iM
A
a
r
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m
in
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(12)
3.
R
ES
U
LTS
A
ND
DISCUSSIO
N
In
t
e
rm
s
of
pe
rf
orm
a
nc
e
a
s
s
e
s
s
m
e
nt
,
t
w
o
t
yp
e
s
of
a
pp
l
i
c
a
t
i
o
ns
w
e
re
c
ons
i
d
e
re
d
:
r
e
a
l
t
i
m
e
(R
T
)
a
nd
be
t
t
e
r
e
ffor
t
(B
E
)
a
s
w
e
l
l
a
s
t
w
o
t
r
a
ffi
c
l
e
ve
l
s
:
h
i
gh
t
ra
ff
i
c
(H
T
)
a
n
d
l
ow
t
ra
f
fi
c
(L
T
)
,
l
e
a
d
i
ng
t
o
four
di
ff
e
re
nt
s
c
e
na
ri
os
:
G
S
M
R
T
H
T
,
G
S
M
R
T
L
T
,
G
S
M
BE
H
T
a
nd
G
S
M
BE
L
T
.
T
h
e
a
c
c
um
u
l
a
t
i
v
e
a
v
e
ra
ge
f
a
i
l
e
d
ha
ndoffs
(A
A
F
H
)
i
s
t
he
m
e
t
ri
c
us
e
d
for
a
s
s
e
s
s
m
e
nt
bot
h
for
t
he
T
O
P
S
IS
a
s
s
how
n
i
n
F
i
gur
e
1
a
nd
t
he
V
IK
O
R
a
l
gori
t
hm
s
a
s
s
how
n
i
n
F
i
gu
re
2.
T
e
n
s
i
m
ul
a
t
i
o
ns
w
e
r
e
p
e
rfor
m
e
d
f
or
e
a
c
h
e
x
pe
r
i
m
e
nt
a
nd
t
h
e
n
t
he
a
v
e
r
a
ge
of
e
a
c
h
e
xpe
r
i
m
e
n
t
w
a
s
p
l
ot
t
e
d
.
F
i
gure
1
s
how
s
t
h
a
t
t
he
nu
m
be
r
of
fa
i
l
e
d
h
a
ndo
ffs
i
s
24%
l
ow
e
r
for
l
ow
t
ra
f
fi
c
c
om
p
a
re
d
t
o
h
i
gh
t
ra
ff
i
c
s
i
nc
e
t
h
e
re
a
re
l
e
s
s
s
pe
c
t
r
a
l
op
port
u
ni
t
i
e
s
.
A
not
he
r
i
nt
e
re
s
t
i
ng
f
i
ndi
ng
i
s
t
h
a
t
t
he
n
um
b
e
r
of
f
a
i
l
e
d
ha
ndoffs
i
s
v
e
ry
s
i
m
i
l
a
r
b
e
t
w
e
e
n
t
h
e
B
E
a
nd
R
T
s
c
e
n
a
ri
os
for
t
he
s
a
m
e
l
e
v
e
l
of
t
ra
ff
i
c
,
w
h
i
c
h
m
a
ke
s
t
hi
s
va
r
i
a
b
l
e
l
e
s
s
re
l
e
va
n
t
w
i
t
h
i
n
a
s
p
e
c
t
ru
m
a
l
l
oc
a
t
i
on
m
ode
l
a
n
d
l
e
a
di
n
g
t
o
r
e
c
ons
i
d
e
r
t
he
op
e
ra
t
i
o
n
of
t
he
c
hos
e
n
a
l
gor
i
t
h
m
.
F
i
na
l
l
y,
t
he
c
o
l
l
a
bor
a
t
i
on
p
e
rc
e
nt
a
g
e
b
e
t
w
e
e
n
s
e
c
on
da
ry
us
e
rs
i
s
not
s
i
gni
fi
c
a
n
t
for
re
a
l
t
i
m
e
a
ppl
i
c
a
t
i
ons
w
hi
l
e
be
t
t
e
r
e
ffor
t
a
ppl
i
c
a
t
i
ons
e
x
hi
bi
t
a
n
i
m
pro
ve
m
e
n
t
i
n
p
e
rfor
m
a
nc
e
by
11%
a
s
t
he
c
o
l
l
a
bor
a
t
i
on
pe
r
c
e
n
t
a
ge
grow
s
hi
gh
e
r
.
F
i
gure
2
s
how
s
t
h
a
t
t
he
nu
m
be
r
of
fa
i
l
e
d
h
a
ndo
ffs
i
s
25%
l
ow
e
r
for
l
ow
t
ra
f
fi
c
c
om
p
a
re
d
t
o
h
i
gh
t
ra
ff
i
c
.
A
s
s
e
e
n
f
or
t
he
T
O
P
S
IS
a
l
gor
i
t
h
m
,
t
h
e
V
IK
O
R
a
l
g
or
i
t
h
m
r
e
ve
a
l
s
a
s
i
m
i
l
a
r
num
be
r
of
f
a
i
l
e
d
ha
n
doffs
be
t
w
e
e
n
B
E
a
n
d
RT
,
for
t
h
e
s
a
m
e
t
ra
ff
i
c
l
e
v
e
l
.
F
i
na
l
l
y,
i
n
t
e
rm
s
of
t
he
c
ol
l
a
b
ora
t
i
on
p
e
r
c
e
n
t
a
g
e
be
t
w
e
e
n
s
e
c
ond
a
ry
us
e
rs
,
o
nl
y
t
h
e
BE
-
L
T
s
c
e
n
a
ri
o
s
how
s
a
s
i
gni
f
i
c
a
n
t
i
m
pro
ve
m
e
n
t
by
7%.
T
a
b
l
e
1
s
how
s
t
h
e
p
e
rc
e
nt
a
g
e
-
ba
s
e
d
r
e
l
a
t
i
ve
va
l
ue
s
of
t
h
e
c
om
pa
ra
t
i
v
e
pe
rfor
m
a
n
c
e
a
s
s
e
s
s
m
e
nt
for
e
a
c
h
s
c
e
na
r
i
o
a
m
o
ng
di
ffe
r
e
nt
l
e
ve
l
s
of
c
ol
l
a
bor
a
t
i
on
.
It
c
a
n
be
c
onc
l
ud
e
d
t
h
a
t
,
a
l
t
h
ough
t
he
re
i
s
e
v
i
de
n
c
e
of
a
n
i
m
prov
e
m
e
nt
i
n
p
e
rfor
m
a
nc
e
f
or
e
a
c
h
a
l
gor
i
t
h
m
w
he
n
t
h
e
l
e
v
e
l
of
c
ol
l
a
bor
a
t
i
on
ri
s
e
s
,
s
a
i
d
i
m
pr
ove
m
e
nt
doe
s
not
e
xc
e
e
d
10
%
i
n
m
os
t
c
a
s
e
s
.
T
he
r
e
for
e
,
i
t
c
o
ul
d
pro
ve
i
n
t
e
r
e
s
t
i
ng
t
o
a
s
s
e
s
s
e
a
c
h
a
l
gori
t
hm
c
om
p
a
r
a
t
i
ve
l
y
i
n
a
l
l
s
c
e
n
a
r
i
os
,
t
a
k
i
ng
i
n
t
o
a
c
c
ount
t
he
hi
gh
e
s
t
a
n
d
l
ow
e
s
t
c
o
l
l
a
bor
a
t
i
on
l
e
ve
l
s
of
10%
a
nd
100%
r
e
s
pe
c
t
i
ve
l
y
,
a
s
s
how
n
i
n
T
a
bl
e
2
.
T
h
e
s
c
e
n
a
ri
o
-
ba
s
e
d
a
na
l
ys
i
s
d
oe
s
n
ot
re
v
e
a
l
t
ha
t
a
n
a
l
g
ori
t
hm
dom
i
na
t
e
s
ove
r
t
he
ot
h
e
r
one
i
n
a
l
l
s
c
e
n
a
ri
os
or
w
i
t
h
c
om
m
o
n
c
o
ndi
t
i
ons
.
T
he
s
i
gni
f
i
c
a
n
c
e
of
t
h
e
re
s
u
l
t
s
,
re
g
a
rd
i
ng
t
he
c
ol
l
a
b
ora
t
i
on
m
odul
e
,
s
how
s
t
h
a
t
t
he
l
e
v
e
l
of
c
ol
l
a
bo
ra
t
i
on
be
t
w
e
e
n
S
U
i
s
d
i
re
c
t
l
y
p
ropor
t
i
on
a
l
t
o
t
he
p
e
rfor
m
a
nc
e
of
t
h
e
a
l
g
ori
t
hm
.
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ow
e
v
e
r,
t
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m
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nt
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c
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be
t
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by
1000%
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m
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t
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m
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rove
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t
he
pe
rfor
m
a
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c
e
of
t
he
a
l
gori
t
hm
by
a
pprox
i
m
a
t
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l
y
10
%.
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a
b
l
e
1
.
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e
nc
hm
a
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by
l
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l
of
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for
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c
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10]
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.
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[
11]
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:
E
d
i
t
or
i
a
l
U
D
,
2016
.
[
15]
T
.
K
a
y
a
a
nd
C
.
K
a
hr
a
m
a
n,
“
M
ul
t
i
c
r
i
t
e
r
i
a
r
e
n
e
w
a
b
l
e
e
ne
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gy
p
l
a
nn
i
ng
u
s
i
ng
a
n
i
n
t
e
g
r
a
t
e
d
f
u
z
z
y
V
I
K
O
R
&
A
H
P
m
e
t
ho
dol
ogy
:
T
he
c
a
s
e
o
f
I
s
t
a
n
bul
,
”
E
n
e
r
g
y
,
vo
l
.
35,
n
o.
6
,
pp.
2
51
7
–
252
7,
20
10.
[
16]
C
.
R
a
m
í
r
e
z
P
é
r
e
z
a
nd
V
.
M
.
R
a
m
os
R
a
m
os
,
“
H
a
ndov
e
r
ve
r
t
i
c
a
l
:
un
p
r
ob
l
e
m
a
d
e
t
o
m
a
de
de
c
i
s
i
ón
m
úl
t
i
pl
e
,
”
i
n
C
ongr
e
s
o
I
nt
e
r
na
c
i
ona
l
s
ob
r
e
I
n
nov
a
c
i
ón
y
D
e
s
ar
r
ol
l
o
T
e
c
no
l
óg
i
c
o
,
201
0.
[
17]
C
.
R
a
m
i
r
e
z
-
P
e
r
e
z
a
nd
V
.
R
a
m
os
-
R
,
“
O
n
t
he
E
f
f
e
c
t
i
ve
ne
s
s
of
M
u
l
t
i
-
c
r
i
t
e
r
i
a
D
e
c
i
s
i
on
M
e
c
ha
ni
s
m
s
f
or
V
e
r
t
i
c
a
l
H
a
nd
of
f
,
”
i
n
I
n
t
e
r
na
t
i
o
na
l
C
on
f
e
r
e
n
c
e
on
A
dv
anc
e
d
I
n
f
or
m
at
i
on
N
e
t
w
or
k
i
ng
a
nd
A
pp
l
i
c
at
i
on
s
,
pp.
11
57
–
1
164
,
2013
.
[
18]
M
.
L
a
hby
,
L
.
C
he
r
ka
oui
,
a
nd
A
.
A
d
i
b
,
“
H
y
br
i
d
ne
t
w
o
r
k
s
e
l
e
c
t
i
on
s
t
r
a
t
e
gy
b
y
us
i
ng
M
-
A
H
P
/
E
-
T
O
P
S
I
S
f
or
he
t
e
r
oge
n
e
ou
s
ne
t
w
o
r
ks
,
”
i
n
I
nt
e
r
n
at
i
on
al
C
o
nf
e
r
e
nc
e
on
I
nt
e
l
l
i
g
e
nt
Sy
s
t
e
m
s
:
T
he
o
r
i
e
s
an
d
A
pp
l
i
c
a
t
i
ons
,
pp.
1
–
6
,
20
13.
[
19]
G
.
B
ü
yükö
z
ka
n
a
nd
G
.
Ç
i
f
ç
i
,
“
A
c
o
m
bi
ne
d
f
uz
z
y
A
H
P
a
nd
f
uz
z
y
T
O
P
S
I
S
b
a
s
e
d
s
t
r
a
t
e
g
i
c
a
na
l
y
s
i
s
o
f
e
l
e
c
t
r
o
ni
c
s
e
r
vi
c
e
qua
l
i
t
y
i
n
he
a
l
t
hc
a
r
e
i
ndu
s
t
r
y
,
”
E
x
p
e
r
t
Sy
s
t
.
A
ppl
.
,
vol
.
39
,
n
o.
3,
p
p.
23
41
–
2
354
,
2012
.
[
20]
C
.
H
e
r
ná
nd
e
z
,
I
.
P
á
e
z
,
a
nd
D
.
G
i
r
a
l
,
“
M
od
e
l
o
A
H
P
-
V
I
K
O
R
p
a
r
a
ha
ndo
f
f
e
s
p
e
c
t
r
a
l
e
n
r
e
d
e
s
d
e
r
a
di
o
c
ogn
i
t
i
v
a
,
”
T
e
c
nu
r
a
,
vol
.
19
,
no
.
4
5,
pp
.
29
–
39
,
2
015
.
[
21]
C
.
H
e
r
ná
n
de
z
,
L
.
F
.
P
e
dr
a
z
a
,
I
.
P
á
e
z
,
a
nd
E
.
R
o
dr
i
gu
e
z
-
C
ol
i
n
a
,
“
A
ná
l
i
s
i
s
d
e
l
a
M
ov
i
l
i
d
a
d
E
s
pe
c
t
r
a
l
e
n
R
e
de
s
d
e
R
a
di
o
C
o
gni
t
i
va
,
”
I
nf
.
t
e
c
no
l
óg
i
c
a
,
vo
l
.
2
6,
no
.
6,
p
p.
16
9
–
18
6,
20
1
5.
[
22]
T
.
T
a
ni
no,
T
.
T
a
n
a
ka
,
a
nd
M
.
I
nu
i
guc
hi
,
"
M
ul
t
i
-
o
bj
e
c
t
i
v
e
p
r
o
gr
a
m
m
i
ng
a
nd
goa
l
p
r
og
r
a
m
m
i
ng
:
t
he
o
r
y
a
nd
a
ppl
i
c
a
t
i
on
s
,
"
S
p
r
i
nge
r
S
c
i
e
nc
e
&
B
us
i
n
e
s
s
M
e
d
i
a
,
200
3.
[
23]
E
.
S
t
e
ve
n
s
-
N
a
va
r
r
o
,
J
.
D
.
M
a
r
t
i
ne
z
-
M
o
r
a
l
e
s
,
a
nd
U
.
P
i
ne
d
a
-
R
i
c
o
,
“
E
va
l
u
a
t
i
on
of
v
e
r
t
i
c
a
l
h
a
ndo
f
f
d
e
c
i
s
i
on
a
l
go
r
i
gh
t
m
s
b
a
s
e
d
on
M
A
D
M
m
e
t
hod
s
f
or
he
t
e
r
oge
ne
o
us
w
i
r
e
l
e
s
s
ne
t
w
o
r
k
s
,
”
J
.
A
pp
l
.
R
e
s
.
T
e
c
hno
l
.
,
v
ol
.
1
0,
no
.
4
,
pp.
53
4
–
54
8,
20
12.
[
24]
E
.
S
t
e
v
e
ns
-
N
a
v
a
r
r
o
,
R
.
G
a
l
l
a
r
do
-
M
e
d
i
na
,
U
.
P
i
ne
d
a
-
R
i
c
o,
a
nd
J
.
A
c
os
t
a
-
E
l
i
a
s
,
“
A
pp
l
i
c
a
t
i
o
n
o
f
M
A
D
M
m
e
t
ho
d
V
I
K
O
R
f
o
r
ve
r
t
i
c
a
l
ha
n
dof
f
i
n
h
e
t
e
r
o
ge
n
e
ous
w
i
r
e
l
e
s
s
ne
t
w
o
r
ks
,
”
I
E
I
C
E
T
r
an
s
.
C
om
m
un
.
,
vol
.
9
5,
no
.
2
,
pp.
59
9
–
60
2,
20
12,
d
oi
:
10.
1587
/
t
r
a
ns
c
o
m
.
E
95.
B
.
5
99.
[
25]
C
.
B
e
r
na
l
a
nd
C
.
H
e
r
ná
n
de
z
,
"
M
o
de
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o
de
de
c
i
s
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ón
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s
p
e
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r
a
l
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r
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e
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e
s
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e
r
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o
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og
ni
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i
va
,
"
P
r
i
m
e
r
a
E
d.
B
ogot
á
,
20
19
.
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