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h
m
i
n
t
a
n
d
e
m
w
i
t
h
t
h
e
w
e
i
g
h
t
m
a
t
r
i
x
,
w
h
i
c
h
d
e
l
i
v
e
r
s
c
o
n
v
e
n
ie
n
t
r
e
s
u
l
ts
o
n
a
s
h
o
r
t
-
t
e
r
m
b
as
is
.
T
h
e
m
a
i
n
c
o
n
t
r
i
b
u
t
i
o
n
o
f
t
h
i
s
w
o
r
k
c
o
n
s
i
s
t
s
i
n
t
h
e
d
e
v
e
l
o
p
m
e
n
t
o
f
a
h
y
b
r
i
d
a
l
g
o
r
i
t
h
m
b
e
t
w
e
e
n
A
H
P
a
n
d
E
L
E
C
T
R
E
a
l
g
o
r
i
t
h
m
s
,
w
h
i
c
h
e
n
a
b
l
e
s
a
1
4
%
i
m
p
r
o
v
e
m
e
n
t
i
n
t
h
e
t
h
r
o
u
g
h
p
u
t
r
a
t
e
c
o
m
p
a
r
e
d
t
o
o
t
h
e
r
a
l
g
o
r
i
t
h
m
s
s
u
c
h
a
s
AH
P
,
M
OOR
E
o
r
S
AW
.
T
h
e
d
ev
elo
p
m
en
t
d
etailed
in
t
h
is
d
o
cu
m
en
t
in
v
o
l
v
es
th
r
ee
p
ar
ts
.
Sectio
n
2
s
ets
o
u
t
th
e
c
o
n
tex
t
an
d
ex
p
lain
s
th
e
m
et
h
o
d
o
l
o
g
y
o
f
d
ec
is
io
n
-
m
ak
in
g
alg
o
r
ith
m
s
.
Sectio
n
3
d
is
cu
s
s
es
th
e
d
ev
elo
p
m
en
t
o
f
t
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
,
th
r
o
u
g
h
an
e
x
am
p
l
e
b
ased
o
n
p
r
ev
io
u
s
ly
g
at
h
er
e
d
s
p
ec
tr
al
o
cc
u
p
a
n
cy
d
ata.
L
a
s
tly
,
th
e
r
esu
lts
o
f
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
ar
e
ass
ess
ed
an
d
co
m
p
a
r
ed
with
o
t
h
e
r
d
ec
is
io
n
-
m
ak
i
n
g
alter
n
ativ
es
in
s
ec
tio
n
4.
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.
1
.
Dec
is
io
n
-
ma
k
ing
a
lg
o
rit
hm
s
T
h
e
h
ier
ar
c
h
ical
an
aly
s
is
p
r
o
c
ess
is
a
to
o
l
u
s
ed
to
m
o
d
el
n
o
n
-
s
tr
u
ctu
r
ed
p
r
o
b
lem
s
in
d
if
f
e
r
en
t
ar
ea
s
,
s
u
ch
as
p
o
liti
cs,
ec
o
n
o
m
ic
s
cien
ce
s
,
s
o
cial
s
cien
ce
s
an
d
m
an
ag
e
m
en
t,
to
m
ak
e
d
e
cisi
o
n
s
o
n
m
u
ltip
le
cr
iter
ia
[
1
5
]
.
T
h
is
m
eth
o
d
o
lo
g
y
is
u
s
ed
to
s
o
lv
e
p
r
o
b
lem
s
wh
er
e
th
er
e
is
a
n
ee
d
to
p
r
io
r
itize
d
if
f
er
en
t
o
p
tio
n
s
an
d
s
u
b
s
eq
u
en
tly
m
ak
e
a
m
o
s
t
co
n
v
en
ie
n
t
ch
o
ice.
I
n
th
is
tech
n
iq
u
e,
th
e
d
ec
is
io
n
s
m
a
y
v
ar
y
f
r
o
m
s
i
m
p
le
p
er
s
o
n
al
o
r
q
u
alitativ
e
d
ec
is
io
n
s
to
h
ig
h
ly
co
m
p
le
x
an
d
q
u
a
n
titativ
e
d
ec
is
io
n
-
m
ak
in
g
s
ce
n
ar
io
s
[
1
6
]
.
T
h
e
AHP
tech
n
iq
u
e
h
el
p
s
a
n
aly
s
ts
to
o
r
g
a
n
i
ze
th
e
cr
itic
al
asp
ec
ts
o
f
a
p
r
o
b
lem
i
n
a
tr
ee
-
lik
e
h
ier
ar
ch
ical
s
tr
u
ctu
r
e
,
th
u
s
r
e
d
u
cin
g
co
m
p
lex
d
ec
is
io
n
s
to
a
s
er
ies
o
f
co
m
p
ar
is
o
n
s
th
at
allo
w
th
e
h
ier
ar
ch
izatio
n
o
f
th
e
ass
ess
ed
cr
iter
ia.
Fu
zz
y
s
et
th
eo
r
y
is
s
im
ilar
to
h
u
m
an
r
ea
s
o
n
i
n
g
r
eg
ar
d
i
n
g
t
h
e
u
s
e
o
f
a
p
p
r
o
x
im
ate
in
f
o
r
m
atio
n
an
d
u
n
ce
r
tain
ty
to
m
ak
e
d
ec
is
io
n
s
.
I
t
was
d
esig
n
ed
s
p
ec
if
ically
to
m
ath
e
m
atica
lly
r
ep
r
esen
t
u
n
ce
r
tain
ty
a
n
d
v
a
g
u
en
ess
an
d
o
f
f
er
f
o
r
m
al
t
o
o
ls
to
tack
le
in
t
r
in
s
ic
in
ac
cu
r
ac
y
p
r
o
b
lem
s
[
1
7
]
.
I
n
o
r
d
e
r
to
class
if
y
a
s
et
o
f
d
ec
is
io
n
-
m
ak
in
g
alter
n
ativ
es
b
as
ed
o
n
d
if
f
e
r
en
t
cr
iter
ia,
AHP
co
m
p
r
is
es
th
e
f
o
llo
win
g
s
tep
s
[
1
8
]
:
−
Def
in
e
th
e
ass
ess
m
en
t c
r
iter
ia
f
o
r
th
e
d
ec
is
io
n
o
b
jectiv
e
an
d
estab
lis
h
a
h
ier
ar
ch
ical
f
r
am
e
wo
r
k
.
−
C
o
m
p
ar
e
d
ec
is
io
n
-
m
a
k
in
g
ele
m
en
ts
in
p
air
s
.
−
E
s
tim
ate
th
e
r
elativ
e
weig
h
ts
o
f
d
ec
is
io
n
-
m
a
k
in
g
elem
e
n
ts
.
−
R
ate
th
e
d
ec
is
io
n
-
m
ak
i
n
g
alter
n
ativ
es
in
ter
m
s
o
f
t
h
e
ag
g
r
eg
a
ted
weig
h
ts
o
f
th
e
d
ec
is
io
n
-
m
a
k
in
g
elem
e
n
ts
.
2
.
2
.
E
L
E
CT
R
E
T
h
e
E
L
E
C
T
R
E
(
elim
in
atio
n
et
ch
o
ice
tr
an
s
latin
g
r
ea
lity
)
m
eth
o
d
is
an
elim
in
ato
r
y
a
n
d
s
elec
tiv
e
alg
o
r
ith
m
o
f
m
u
ltip
le
cr
iter
ia
[
1
9
]
.
T
h
is
m
eth
o
d
f
ac
ilit
ate
s
th
e
co
m
p
ar
is
o
n
s
b
etwe
en
a
lter
n
ativ
e
s
ch
em
es
th
r
o
u
g
h
th
e
u
s
e
o
f
a
p
o
n
d
e
r
ed
s
u
m
tec
h
n
iq
u
e
.
I
t
also
u
s
es
s
ev
er
al
m
ath
em
atica
l
f
u
n
ctio
n
s
to
i
n
d
icate
th
e
d
o
m
in
a
n
t
d
eg
r
ee
o
f
an
alt
er
n
ativ
e
o
v
e
r
th
e
r
em
ain
i
n
g
o
p
tio
n
s
[
2
0
]
.
T
h
e
p
r
o
ce
d
u
r
e
is
b
ased
o
n
a
d
ec
is
io
n
m
atr
ix
an
d
an
o
v
er
class
if
icati
o
n
r
elatio
n
is
u
s
ed
in
o
r
d
er
t
o
d
eliv
er
an
im
p
r
o
v
e
m
en
t
m
a
tr
ix
.
An
alter
n
ativ
e
o
v
er
class
if
ies
an
o
th
er
alter
n
at
iv
e
an
d
m
a
k
es
it
a
p
ar
t
o
f
th
e
s
et
o
f
th
e
m
o
s
t
f
a
v
o
r
a
b
le
alter
n
ativ
es
wh
en
it
is
co
n
s
id
er
ed
to
b
e
at
least
as
g
o
o
d
as
th
e
o
th
e
r
o
n
es,
g
iv
en
th
e
s
et
o
f
attr
ib
u
tes.
T
h
is
r
eq
u
ir
es
t
h
at
th
e
co
n
c
o
r
d
an
c
e
b
etwe
en
b
o
th
s
u
r
p
ass
es
a
ce
r
tain
in
d
ex
an
d
th
e
d
is
co
r
d
an
ce
d
o
es
n
o
t
ex
ce
ed
an
o
th
e
r
in
d
e
x
.
B
o
th
in
d
ex
es
ar
e
estab
lis
h
ed
b
ef
o
r
eh
a
n
d
[
2
1
,
2
2
]
.
Fo
r
th
e
im
p
lem
en
tatio
n
o
f
t
h
e
E
L
E
C
T
R
E
alg
o
r
ith
m
,
th
e
f
o
llo
win
g
s
tep
s
wer
e
ca
r
r
ie
d
o
u
t
[
2
3
]
.
C
o
n
s
tr
u
ctio
n
o
f
th
e
co
n
d
o
r
d
a
n
ce
m
atr
ix
:
E
ac
h
in
d
ex
(
,
)
o
f
th
is
m
atr
ix
o
f
th
e
alter
n
ativ
es
an
d
i
s
o
b
tain
ed
b
y
ad
d
in
g
th
e
weig
h
ts
r
elate
d
to
ea
ch
cr
iter
io
n
in
wh
ich
alter
n
ativ
e
i
is
b
etter
th
an
alter
n
ativ
e
k
as
s
h
o
wn
in
(
1
)
[
2
3
]
.
C
(
a
,
b
)
=
∑
wj
+
0
.
5
∞
j
|
rj
(
a
)
>
rj
(
b
)
∑
wj
∞
j
|
rj
(
a
)
=
r
j
(
b
)
(
1
)
No
r
m
aliza
tio
n
o
f
th
e
d
ec
is
o
n
m
atr
ix
:
th
e
d
ec
is
io
n
-
m
ak
in
g
m
atr
ix
is
n
o
r
m
alize
d
t
h
r
o
u
g
h
i
n
(
2
)
[
2
3
]
.
vij
=
r
i
j
√
∑
(
r
i
j
)
2
j
i
=
1
,
∀
j
=
1
,
2
,
…
,
n
(
2)
Evaluation Warning : The document was created with Spire.PDF for Python.
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o
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p
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tio
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id
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r
ith
m
A
HP
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LECT
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(
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s
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2817
B
u
ild
in
g
th
e
d
is
co
r
d
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ce
m
atr
i
x
:
th
e
d
is
co
r
d
an
ce
in
d
ex
m
atr
i
x
is
co
m
p
u
ted
.
E
ac
h
in
d
ex
(
,
)
with
in
th
is
m
atr
ix
is
o
b
tain
ed
a
m
o
n
g
t
h
e
alter
n
ativ
es
an
d
as
a
r
esu
lt
o
f
th
e
h
ig
h
est
d
if
f
er
en
ce
b
etwe
en
th
e
cr
iter
ia
f
o
r
wh
ic
h
th
e
alter
n
ativ
e
i
is
d
eter
m
in
ed
b
y
th
e
alter
n
ativ
e
k
,
an
d
t
h
en
th
at
am
o
u
n
t is d
iv
id
ed
b
y
th
e
d
if
f
er
e
n
ce
in
ab
s
o
lu
te
v
al
u
e
b
etwe
en
th
e
n
o
r
m
alize
d
an
d
p
o
n
d
e
r
ed
i
n
d
ex
es
o
f
th
e
d
ec
is
io
n
m
atr
ix
f
r
o
m
i
an
d
k
[
2
3
]
,
s
ee
i
n
(
3
)
.
D
(
i
,
k
)
=
m
ax
(
i
,
k
)
v
̅
j
(
k
)
−
v
̅
j
(
i
)
m
ax
∀
(
i
,
k
)
|
v
̅
j
(
k
)
−
v
̅
j
(
i
)
|
(
3
)
2.
3
.
Adequa
t
io
n o
f
s
a
m
ples
T
o
o
b
tain
t
h
e
m
o
s
t
s
u
b
jectiv
e
in
f
o
r
m
atio
n
,
a
s
am
p
le
o
f
4
0
0
ch
an
n
els
was
ch
o
s
en
in
d
if
f
e
r
en
t
tim
e
in
s
tan
ts
wh
er
e
th
e
s
tatu
s
o
f
th
e
ch
an
n
el
is
m
ea
s
u
r
ed
.
I
f
a
ch
a
n
n
el
s
h
o
wed
p
o
wer
v
alu
es
o
v
er
-
9
5
d
B
m
th
e
n
it
is
o
cc
u
p
ied
a
n
d
a
0
is
en
ter
e
d
in
i
ts
co
r
r
esp
o
n
d
in
g
p
o
s
itio
n
.
Oth
er
wis
e,
th
e
ch
an
n
el
is
av
ailab
le
an
d
a
1
is
in
p
u
tted
.
Fo
r
in
s
tan
ce
,
T
ab
le
1
s
h
o
ws
7
ch
an
n
els
with
s
ev
er
al
p
o
wer
s
am
p
lin
g
p
r
o
ce
s
s
es.
T
h
e
o
u
tp
u
t
o
f
th
e
p
r
ev
i
o
u
s
ly
d
escr
ib
ed
p
r
o
ce
d
u
r
e
co
r
r
esp
o
n
d
s
to
T
ab
le
2
.
Af
ter
th
is
p
r
o
ce
s
s
is
ca
r
r
ied
o
u
t
f
o
r
all
4
0
0
c
h
an
n
els,
a
m
atr
ix
o
f
th
e
s
am
e
s
ize
as
th
e
o
r
i
g
in
al
o
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e
is
b
u
ilt,
with
b
in
ar
y
v
alu
es
wh
e
r
e
r
o
ws
r
ep
r
esen
t
tim
e
a
n
d
c
o
lu
m
n
s
r
ep
r
esen
t
c
h
an
n
els.
T
h
i
s
s
tag
e
r
er
p
r
esen
ts
th
e
f
ir
s
t c
h
an
n
el
f
itler
in
g
task
.
T
ab
le
1
.
Sen
s
ed
c
h
an
n
els in
d
B
m
C
h
a
n
n
e
l
1
C
h
a
n
n
e
l
2
C
h
a
n
n
e
l
3
C
h
a
n
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l
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h
a
n
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l
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8
9
1
9
9
8
T
ab
le
2
.
An
aly
ze
d
ch
a
n
n
els in
b
in
ar
y
f
o
r
m
C
h
a
n
n
e
l
1
C
h
a
n
n
e
l
2
C
h
a
n
n
e
l
3
C
h
a
n
n
e
l
4
C
h
a
n
n
e
l
5
C
h
a
n
n
e
l
6
C
h
a
n
n
e
l
7
1
1
1
1
1
1
1
1
1
1
0
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
0
0
1
1
0
0
0
1
1
1
1
1
1
0
1
1
1
0
1
1
1
2.
4
.
P
a
ra
m
et
er
s
f
o
r
c
o
m
pa
ri
s
o
n
Fo
r
th
e
d
ev
el
o
p
m
en
t
o
f
th
is
w
o
r
k
,
th
e
f
o
llo
win
g
q
u
ality
o
f
c
h
an
n
el
p
a
r
am
eter
s
wer
e
ch
o
s
en
:
−
B
an
d
wid
th
(
B
W
)
B
an
d
wid
th
r
ef
er
s
to
th
e
in
te
r
v
al
o
f
f
r
e
q
u
en
cies
th
at
a
c
h
an
n
el
is
ab
le
to
s
u
p
p
o
r
t
o
r
p
r
o
ce
s
s
.
T
o
d
eter
m
in
e
th
is
p
ar
a
m
eter
,
an
av
er
ag
e
v
alu
e
in
wh
ich
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h
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n
els
ar
e
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ailab
le
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co
m
p
u
ted
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d
,
s
in
ce
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ch
ch
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n
el
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as
a
b
an
d
wid
th
o
f
1
0
0
k
Hz,
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e
ad
d
ed
lead
in
g
to
a
ch
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n
el
with
h
ig
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ca
p
ac
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.
Fu
r
th
er
m
o
r
e
,
it
is
p
o
s
s
ib
le
to
ad
ju
s
t
th
e
m
áx
im
u
m
s
ize
o
f
th
e
ch
an
n
el
b
y
alter
in
g
th
e
alg
o
r
ith
m
.
Ho
wev
er
,
it
wo
u
ld
m
ea
n
t
h
at
less
ch
an
n
els
wo
u
ld
b
e
d
er
i
v
ed
an
d
b
a
n
d
wi
d
th
wo
u
ld
b
e
wasted
in
te
x
t
-
b
ased
d
ata
t
h
at
d
o
e
s
n
o
t r
eq
u
ir
e
s
ig
n
if
ican
t
b
an
d
wi
d
th
.
−
E
s
tim
ated
tim
e
o
f
av
ailab
ilit
y
(
T
E
D)
T
h
i
s
p
a
r
a
m
e
t
e
r
i
s
o
b
t
a
i
n
e
d
b
y
a
d
d
i
n
g
c
o
n
s
e
c
u
t
i
v
e
r
e
c
o
r
d
s
a
v
a
i
l
a
b
l
e
o
v
e
r
t
i
m
e
a
n
d
t
h
e
n
a
v
e
r
a
g
i
n
g
t
h
e
m
.
−
Av
ailab
ilit
y
p
er
ce
n
tag
e
(
%Dis
)
I
t
is
th
e
av
e
r
ag
e
r
ate
in
wh
ich
a
ch
a
n
n
el
is
av
ai
lab
le
o
v
e
r
a
ce
r
tain
p
er
io
d
o
f
tim
e.
T
o
co
m
p
u
te
th
is
p
ar
am
eter
,
a
s
am
p
le
ad
eq
u
atio
n
is
ca
r
r
ied
o
u
t th
at
is
r
ep
r
esen
ted
b
y
th
e
f
o
llo
win
g
eq
u
atio
n
:
−
Sig
n
al
-
to
-
n
o
is
e
r
atio
(
SNR
)
I
t
is
d
ef
in
ed
as
th
e
m
ar
g
in
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et
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n
th
e
p
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o
f
th
e
tr
a
n
s
m
itted
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an
d
th
e
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f
th
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n
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is
e
th
at
co
r
r
u
p
ts
it.
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ts
f
o
r
m
u
la
is
r
ep
r
e
s
en
ted
b
y
i
n
(
4
)
.
=
10
10
ñ
(
4
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
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6
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3
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T
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T
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18
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No
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6
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Dec
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3.
P
RO
P
O
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D
H
YB
R
I
D
A
L
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RIT
H
M
T
h
e
p
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p
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o
r
ith
m
is
d
esig
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ch
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h
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u
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ty
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n
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ts
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n
t
h
r
ee
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ar
ts
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s
h
o
wn
in
Fig
u
r
e
1
.
T
h
e
f
ir
s
t
s
tag
e
in
v
o
lv
es
b
u
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in
g
th
e
p
r
i
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r
ity
m
atr
ices
.
T
h
e
p
r
io
r
ity
tab
le
s
er
v
es
as
a
r
ef
er
e
n
ce
wh
e
r
e
th
e
o
r
d
er
o
f
ea
c
h
c
r
iter
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n
is
d
et
er
m
in
ed
.
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ter
wa
r
d
s
,
th
r
ee
m
atr
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ar
e
b
u
ilt:
s
tar
tin
g
f
r
o
m
th
e
v
er
tical
ax
is
,
th
e
f
ir
s
t
cr
iter
io
n
is
co
m
p
a
r
ed
with
th
e
o
th
e
r
s
an
d
th
e
m
o
s
t
ap
p
r
o
p
r
iate
v
alu
e
is
ass
ig
n
ed
ac
c
o
r
d
in
g
to
t
h
e
tab
le
o
f
e
x
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tin
g
v
alu
es.
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ter
s
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g
th
e
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r
io
r
ity
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atr
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e
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o
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ith
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p
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s
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o
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atio
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d
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ated
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h
e
p
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s
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tp
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t
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a
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ec
to
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.
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h
e
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s
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les:
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e
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s
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f
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m
ch
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n
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e
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d
an
d
p
r
o
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to
d
eter
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in
e
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e
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ze
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.
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ir
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t
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ter
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d
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ce
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m
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e
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ep
r
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ts
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h
e
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n
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n
o
f
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s
ch
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n
els.
T
h
e
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lt
o
f
th
is
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r
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s
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a
s
m
aller
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atr
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d
t
h
e
o
th
e
r
cr
iter
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ar
e
o
b
tain
e
d
t
o
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u
ild
th
e
m
atr
ix
.
Fin
ally
,
th
e
ch
an
n
el
s
elec
tio
n
p
r
o
ce
s
s
r
eq
u
ir
es
to
e
n
ter
th
e
ch
an
n
el
m
atr
i
x
an
d
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t
v
ec
to
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as
in
p
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ts
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th
e
alg
o
r
ith
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s
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it
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n
p
r
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s
th
em
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d
d
eliv
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a
lis
t
o
f
th
e
to
p
-
r
an
k
ed
ch
a
n
n
els.
T
h
e
p
r
o
ce
s
s
i
s
r
ep
ea
ted
th
r
ee
tim
es b
y
ch
an
g
i
n
g
th
e
t
y
p
e
o
f
d
ata.
T
h
e
im
p
o
r
tan
c
e
o
f
all
elem
en
t
s
s
h
o
u
ld
b
e
co
m
p
a
r
ed
u
n
d
er
th
e
s
am
e
f
ac
to
r
s
o
th
at
th
e
r
elatio
n
b
etwe
en
u
p
p
er
an
d
lo
wer
lev
els
ca
n
b
e
estab
lis
h
ed
[
2
4
]
.
I
n
th
e
im
p
lem
en
tatio
n
o
f
th
e
p
r
o
p
o
s
ed
a
lg
o
r
ith
m
,
t
h
e
AHP
alg
o
r
ith
m
is
u
s
ed
in
th
e
weig
h
t
ca
lcu
latio
n
p
r
o
ce
d
u
r
e.
T
h
ese
v
alu
es
will
af
f
ec
t
th
e
f
in
al
d
ec
i
s
io
n
o
f
th
e
ch
a
n
n
el
d
ep
en
d
i
n
g
o
n
th
eir
im
p
o
r
ta
n
ce
as
s
h
o
wn
in
T
a
b
le
3
,
wh
ile
s
till
v
alid
atin
g
th
at
th
e
m
atr
ix
is
b
alan
ce
d
e
n
o
u
g
h
to
ac
h
iev
e
b
etter
r
esu
lts
[
2
5
]
.
I
n
T
ab
le
4
,
th
e
weig
h
t m
atr
ix
is
s
elec
ted
f
o
r
th
e
tex
t d
ata
ty
p
e.
Fig
u
r
e
1
.
Pro
p
o
s
ed
h
y
b
r
i
d
m
o
d
el
T
ab
le
3
.
C
lass
if
icatio
n
v
alu
es
T
ab
l
e
4
.
W
eig
h
t
m
atr
ix
N
u
meri
c
s
c
a
l
e
V
e
r
b
a
l
sc
a
l
e
1
Eq
u
a
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Ev
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e
n
t
o
r
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r
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i
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n
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e
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t
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1
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
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T
elec
o
m
m
u
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o
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p
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HP
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LECT
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C
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2819
3.
1
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m
a
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h
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ns
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v
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h
e
f
ir
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p
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te
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6
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wh
er
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T
is
th
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ize.
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n
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lcu
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−
(
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n
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s
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lcu
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1
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ea
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at
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er
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e,
s
ig
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if
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an
t c
o
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cies a
r
e
s
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[
1
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.
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t
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o
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m
en
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er
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d
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ig
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o
m
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ar
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m
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h
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o
b
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ed
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e
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r
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v
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u
s
m
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n
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n
d
in
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ab
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ep
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th
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s
am
e
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ata
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r
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T
ab
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.
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f
ter
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s
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ar
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eter
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e
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o
r
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h
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alg
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r
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m
ch
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n
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d
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th
s
in
o
r
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er
t
o
s
elec
t
th
e
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est
ch
a
n
n
el
th
at
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ee
ts
th
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p
r
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e
f
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itio
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h
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alg
o
r
ith
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ize
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ar
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ce
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ar
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l
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o
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tex
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ata
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ab
l
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7
.
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4.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
4
.
1
.
Co
m
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ra
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iv
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f
t
he
a
lg
o
rit
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s
T
ab
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8
s
h
o
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e
r
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y
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o
ce
s
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g
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e
ch
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n
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l
m
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with
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e
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o
r
ith
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s
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L
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,
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OR
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d
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o
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e
tex
t
ty
p
e
d
ata.
E
ac
h
v
alu
e
r
e
p
r
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ts
th
e
ch
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n
el
ch
o
s
en
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ch
alg
o
r
ith
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.
Fig
u
r
e
2
p
r
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ts
th
e
r
esu
lts
o
f
th
e
E
L
E
C
T
R
E
,
MO
OR
E
an
d
SAW
alg
o
r
ith
m
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th
e
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o
r
m
o
f
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ch
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r
t
wh
er
e
th
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v
alu
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to
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ch
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ig
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d
etailed
.
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er
to
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aly
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th
e
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e
r
f
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ce
o
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th
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r
ith
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ailed
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as
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Fig
u
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e
3
,
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s
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Fig
u
r
e
4
an
d
th
r
o
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h
p
u
t
as
s
h
o
wn
in
Fig
u
r
e
5
m
etr
ics ar
e
a
n
aly
ze
d
an
d
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m
p
ar
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with
t
h
e
AHP
an
d
r
an
d
o
m
al
g
o
r
ith
m
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
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T
E
L
KOM
NI
KA
T
elec
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m
m
u
n
C
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m
p
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l Co
n
tr
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Vo
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18
,
No
.
6
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Dec
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b
e
r
2
0
2
0
:
2
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1
5
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2
8
2
1
2820
T
ab
le
8
.
C
h
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n
els s
elec
tio
n
C
h
a
n
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e
l
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ELEC
TR
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u
r
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Fig
u
r
e
3
.
Failed
h
a
n
d
o
f
f
s
Fig
u
r
e
4
.
B
an
d
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th
Fig
u
r
e
5
.
T
h
r
o
u
g
h
p
u
t
r
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lts
f
o
r
th
e
an
aly
ze
d
al
g
o
r
ith
m
s
T
h
e
ch
a
r
ts
f
o
r
f
ailed
h
a
n
d
o
f
f
s
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b
an
d
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t
h
a
n
d
t
h
r
o
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g
h
p
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t
s
h
o
w
th
at
t
h
e
b
eh
av
io
r
o
f
t
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
s
tab
le
o
v
er
tim
e.
T
h
e
d
etec
ted
alter
atio
n
s
ar
e
s
ig
n
if
ican
tly
lo
w
in
co
m
p
a
r
is
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n
to
th
e
alter
n
ativ
es.
T
h
e
th
r
o
u
g
h
p
u
t
ch
a
r
t
r
ev
ea
l
s
th
at
th
e
av
er
ag
e
s
u
cc
ess
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ate
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h
ig
h
er
in
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ch
m
ess
ag
e
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ad
d
itio
n
to
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s
ig
n
if
ican
tly
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w
lev
el
o
f
v
a
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n
f
o
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th
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iter
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n
.
On
e
o
f
th
e
m
o
s
t
tr
o
u
b
lin
g
is
s
u
es
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s
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ec
tr
u
m
o
p
p
o
r
tu
n
ity
an
aly
s
is
is
th
e
h
an
d
o
f
f
m
etr
ic
wh
ich
p
er
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s
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ter
m
itten
cies
in
co
m
m
u
n
icatio
n
s
.
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h
e
p
r
o
p
o
s
ed
s
o
lu
tio
n
s
tr
o
n
g
ly
r
ed
u
ce
s
th
is
v
ar
ia
b
le
as
s
ee
n
in
th
e
p
r
ev
io
u
s
f
ig
u
r
e
s
.
T
ab
le
9
s
h
o
ws
th
e
r
esu
lts
o
b
tain
ed
i
n
ter
m
s
o
f
th
e
ev
alu
atio
n
m
etr
ics
f
o
r
E
L
E
C
T
R
E
,
AHP
an
d
R
ANDO
M
.
T
h
e
b
est
av
e
r
ag
ed
s
co
r
e
o
f
th
e
m
etr
ics
is
s
h
o
wn
b
y
E
L
E
C
T
R
E
.
Af
ter
an
aly
zin
g
th
e
v
ar
iatio
n
s
ev
id
en
ce
d
i
n
p
r
e
v
io
u
s
ch
ar
ts
,
t
h
e
f
o
llo
win
g
r
esu
lts
ar
e
o
b
tain
ed
:
−
I
n
th
e
h
an
d
o
f
f
ch
ar
t,
t
h
e
r
a
n
d
o
m
alg
o
r
ith
m
h
as
a
v
a
r
iatio
n
o
f
3
8
0
0
m
s
wh
i
le
AHP
h
a
s
a
v
ar
iatio
n
o
f
2
0
0
m
s
an
d
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
h
as a
v
ar
iatio
n
o
f
1
0
0
m
s
.
−
T
h
e
th
r
o
u
g
h
p
u
t
ch
ar
t
s
h
o
ws
th
at
th
e
r
an
d
o
m
al
g
o
r
ith
m
h
as
a
v
ar
iatio
n
o
f
6
0
0
k
b
p
s
wh
ile
AHP
h
as
a
v
ar
iatio
n
o
f
2
7
9
0
0
k
b
p
s
an
d
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
h
as a
v
ar
iatio
n
o
f
1
0
0
k
b
p
s
.
−
T
h
e
b
a
n
d
wid
th
ch
ar
t
s
h
o
ws
th
at
th
e
r
an
d
o
m
h
as
a
v
ar
iatio
n
o
f
3
0
0
k
Hz
wh
ile
AHP
h
as
a
v
a
r
iatio
n
o
f
3
4
0
k
Hz
a
n
d
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
h
as a
v
ar
iatio
n
o
f
3
0
k
Hz.
T
ab
le
9
.
E
v
alu
atio
n
m
et
r
ics f
o
r
th
e
an
aly
ze
d
alg
o
r
ith
m
s
M
e
t
r
i
c
ELEC
TR
E
AHP
R
A
N
D
O
M
H
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7
Evaluation Warning : The document was created with Spire.PDF for Python.
T
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T
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o
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2821
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CO
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ith
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)
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p
l
etely
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ased
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also
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an
cisco
J
o
s
é
d
e
C
ald
as.
RE
F
E
R
E
NC
E
S
[1
]
C.
He
rn
á
n
d
e
z
,
I.
P
á
e
z
,
a
n
d
D.
G
iral,
"
M
o
d
e
l
o
a
d
a
p
tat
iv
o
m
u
lt
i
v
a
riab
le
d
e
h
a
n
d
o
ff
e
sp
e
c
tral
p
a
ra
in
c
re
m
e
n
tar
e
l
d
e
se
m
p
e
ñ
o
e
n
re
d
e
s m
ó
v
il
e
s
d
e
r
a
d
io
c
o
g
n
i
ti
v
a
,"
B
o
g
o
tá
:
Ed
it
o
ria
l
UD
,
2
0
1
7
.
[2
]
C.
He
rn
á
n
d
e
z
,
D.
G
iral,
a
n
d
F
.
S
a
n
ta,
“
M
CDM
S
p
e
c
tru
m
H
a
n
d
o
v
e
r
M
o
d
e
ls
fo
r
Co
g
n
it
iv
e
Wi
re
les
s
Ne
two
rk
s,”
W
o
rld
Aca
d
.
S
c
i.
E
n
g
.
T
e
c
h
n
o
l.
,
v
o
l.
9
,
n
o
.
1
0
,
p
p
.
6
7
9
-
6
8
2
,
2
0
1
5
.
[3
]
C.
Be
rn
a
l
a
n
d
C.
He
rn
á
n
d
e
z
,
"
M
o
d
e
lo
d
e
d
e
c
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n
e
sp
e
c
tral
p
a
ra
re
d
e
s
d
e
ra
d
io
c
o
g
n
it
iv
a
,
"
Prime
ra
Ed
.
B
o
g
o
t
á
:
Ed
it
o
ri
a
l
UD
,
2
0
1
9
.
[4
]
C.
He
rn
á
n
d
e
z
,
L.
F
.
P
e
d
ra
z
a
,
a
n
d
E.
R
o
d
ri
g
u
e
z
-
Co
li
n
a
,
“
F
u
z
z
y
F
e
e
d
b
a
c
k
Alg
o
rit
h
m
fo
r
t
h
e
S
p
e
c
tral
Ha
n
d
o
ff
i
n
Co
g
n
it
iv
e
Ra
d
io
Ne
tw
o
rk
s,”
Rev
i
sta
Fa
c
u
lt
a
d
d
e
In
g
e
n
ier
a
,
v
o
l.
81
,
p
p
.
47
-
62
,
2
0
1
6
.
[5
]
C.
He
rn
á
n
d
e
z
,
H.
Va
sq
u
e
z
,
a
n
d
I
.
P
á
e
z
,
“
P
ro
a
c
ti
v
e
S
p
e
c
tru
m
Ha
n
d
o
ff
M
o
d
e
l
wit
h
T
ime
S
e
ries
P
re
d
ictio
n
,
”
I
n
t.
J
.
Ap
p
l
.
E
n
g
.
Res
.
,
v
o
l.
1
0
,
n
o
.
2
1
,
p
p
.
4
2
2
5
9
-
4
2
2
6
4
,
2
0
1
5
.
[6
]
C.
He
rn
á
n
d
e
z
,
I
.
P
á
e
z
,
a
n
d
D.
G
iral,
“
M
o
d
e
lo
AH
P
-
VIK
OR
p
a
ra
h
a
n
d
o
ff
e
sp
e
c
tral
e
n
re
d
e
s
d
e
ra
d
io
c
o
g
n
it
i
v
a
,
”
T
e
c
n
u
ra
,
v
o
l.
1
9
,
n
o
.
4
5
,
p
p
.
2
9
-
3
9
,
2
0
1
5
.
[7
]
F
.
De
,
C.
De
,
L.
A.
F
ísica
,
Y.
De
l
,
D.
Ca
rm
e
n
,
a
n
d
O.
Ca
l
v
o
,
"
Un
ive
rs
id
a
d
P
o
li
téc
n
ic
a
De
M
a
d
ri
d
,"
201
6.
[8
]
Y.
Rizk
,
e
t
a
l.
,
“
De
c
isio
n
M
a
k
in
g
in
M
u
lt
iag
e
n
t
S
y
ste
m
s:
A
S
u
r
v
e
y
,
”
IEE
E
T
ra
n
s.
C
o
g
n
.
De
v
.
S
y
st.
,
v
o
l.
1
0
,
n
o
.
3
,
p
p
.
5
1
4
-
5
2
9
,
2
0
1
8
.
[9
]
Ak
m
a
lu
d
i
n
,
M
.
Ba
d
ru
l,
L.
M
a
r
li
n
d
a
,
S
.
Da
li
s,
S
id
i
k
,
a
n
d
B.
S
a
n
to
so
,
“
Th
e
Em
p
lo
y
e
e
P
ro
m
o
ti
o
n
Ba
se
o
n
S
p
e
c
ifi
c
a
ti
o
n
Jo
b
’s
P
e
rfo
rm
a
n
c
e
Us
in
g
:
M
CDM,
AH
P
,
a
n
d
E
LE
C
TRE
M
e
t
h
o
d
,
”
2
0
1
8
6
th
In
t.
C
o
n
f
.
Cy
b
e
r I
T
S
e
rv
.
M
a
n
a
g
.
CIT
S
M
2
0
1
8
,
p
p
.
1
-
5
,
2
0
1
9
.
[1
0
]
C.
He
rn
á
n
d
e
z
,
e
t
a
l
.
,
“
Alg
o
rit
m
o
s
p
a
ra
a
sig
n
a
c
ió
n
d
e
e
sp
e
c
tro
e
n
re
d
e
s
d
e
ra
d
io
c
o
g
n
it
iv
a
,
”
Rev
.
T
e
c
n
u
ra
,
v
o
l.
2
0
,
n
o
.
4
8
,
p
p
.
6
9
-
8
8
,
2
0
1
6
.
[1
1
]
Y
.
C
.
C
h
o
u
,
H
.
Y
.
Y
e
n
,
C
.
C
.
S
u
n
,
a
n
d
J
.
S
.
H
o
n
,
“
C
o
m
p
a
r
i
s
o
n
o
f
A
H
P
a
n
d
f
u
z
z
y
A
H
P
m
e
t
h
o
d
s
f
o
r
h
u
m
a
n
r
e
s
o
u
r
c
e
s
i
n
s
c
i
e
n
c
e
t
e
c
h
n
o
l
o
g
y
(
H
R
S
T
)
p
e
r
f
o
r
m
a
n
c
e
i
n
d
e
x
s
e
l
e
c
t
i
o
n
,
”
I
E
E
E
I
n
t
.
C
o
n
f
.
I
n
d
.
E
n
g
.
E
n
g
.
M
a
n
a
g
.
,
p
p
.
7
9
2
-
7
9
6
,
2
0
1
4
.
[1
2
]
M
.
T
u
b
e
r
q
u
ia
-
Da
v
i
d
,
e
t
a
l.
,
“
A
m
u
lt
ifrac
tal
wa
v
e
let
m
o
d
e
l
fo
r
th
e
g
e
n
e
ra
ti
o
n
o
f
lo
n
g
-
ra
n
g
e
d
e
p
e
n
d
e
n
c
y
traffic
trac
e
s
with
a
d
j
u
sta
b
le
p
a
ra
m
e
ters
,
”
Exp
e
rt S
y
ste
ms
wit
h
Ap
p
li
c
a
ti
o
n
s
,
v
o
l
.
6
2
,
p
p
.
3
7
3
-
3
8
4
,
2
0
1
6
.
[1
3
]
C.
He
rn
á
n
d
e
z
a
n
d
D.
G
iral,
“
S
p
e
c
tru
m
M
o
b
i
li
ty
An
a
l
y
ti
c
a
l
T
o
o
l
f
o
r
Co
g
n
it
iv
e
Wi
re
les
s
Ne
two
r
k
s,”
In
t.
J
.
Ap
p
l.
E
n
g
.
Res
.
,
v
o
l.
1
0
,
n
o
.
2
1
,
p
p
.
4
2
2
6
5
-
4
2
2
7
4
,
2
0
1
5
.
[1
4
]
H.
Y.
S
h
a
n
g
a
n
d
F
.
S
u
,
“
Ev
a
lu
a
t
io
n
fo
r
u
r
b
a
n
s
u
sta
in
a
b
le
d
e
v
e
l
o
p
m
e
n
t
b
a
se
d
o
n
AH
P
,
”
2
0
0
9
T
h
ir
d
In
ter
n
a
ti
o
n
a
l
S
y
mp
o
si
u
m o
n
In
telli
g
e
n
t
In
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
A
p
p
li
c
a
ti
o
n
W
o
r
k
sh
o
p
s
,
p
p
.
3
8
-
4
1
,
2
0
0
9
.
[1
5
]
J.
Ho
u
,
C.
S
u
,
a
n
d
W.
Wa
n
g
,
“
A
HP
m
e
th
o
d
o
lo
g
y
fo
r
p
a
rtn
e
r
se
lec
ti
o
n
in
c
o
ll
a
b
o
ra
t
iv
e
d
e
sig
n
,
”
Pro
c
.
-
In
t.
S
y
mp
.
Co
mp
u
t
.
S
c
i
.
Co
m
p
u
t
.
T
e
c
h
n
o
l.
IS
CS
CT
2
0
0
8
,
v
o
l.
2
,
p
p
.
6
7
4
-
6
7
7
,
2
0
0
8
.
[1
6
]
A.
Tao
u
fi
k
a
ll
a
h
,
“
El
m
é
to
d
o
AH
P
,
”
M
á
ste
r
e
n
Org
a
n
iza
c
ió
n
I
n
d
u
strial
y
G
e
stió
n
d
e
Emp
re
sa
s
M
a
ste
r
o
f
I
n
d
u
strial
Org
a
n
iza
ti
o
n
&
B
u
sin
e
ss
A
d
m
in
i
stra
ti
o
n
,
Esc
u
e
la
Tec
n
ica
S
u
p
e
rio
r
d
e
In
g
e
n
iero
s
d
e
S
e
v
il
la
Un
i
v
e
rsid
a
d
d
e
S
e
v
il
la
,
pp
.
4
6
-
4
9
,
1
9
9
0
.
[1
7
]
Y.
Ch
e
n
,
“
F
u
z
z
y
AH
P
-
b
a
se
d
m
e
th
o
d
f
o
r
p
r
o
jec
t
risk
a
ss
e
ss
m
e
n
t,
”
Pro
c
.
-
2
0
1
0
7
t
h
In
t.
C
o
n
f.
F
u
zz
y
S
y
st.
Kn
o
wl
.
Disc
o
v
.
FS
KD 2
0
1
0
,
v
o
l
.
3
,
n
o
.
F
sk
d
,
p
p
.
1
2
4
9
-
1
2
5
3
,
2
0
1
0
.
[1
8
]
N.
Ya
ra
g
h
i,
P
.
Tab
e
sh
,
P
.
G
u
a
n
,
a
n
d
J.
Zh
u
a
n
g
,
“
Co
m
p
a
riso
n
o
f
A
HP
a
n
d
M
o
n
te
Ca
rlo
AH
P
u
n
d
e
r
d
iffere
n
t
lev
e
ls
o
f
u
n
c
e
rtain
ty
,
”
IEE
E
T
ra
n
s.
En
g
.
M
a
n
a
g
.
,
v
o
l.
6
2
,
n
o
.
1
,
p
p
.
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2
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.
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R.
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4
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.
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.
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,
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[2
5
]
H.
De
n
g
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n
g
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m
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h
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h
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.
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.
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0
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.
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