I
nte
rna
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l J
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urna
l o
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Adv
a
nces in Applie
d Science
s
(
I
J
AAS)
Vo
l.
9
,
No
.
3
,
Sep
tem
b
er
2
0
2
0
,
p
p
.
201
~
210
I
SS
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Ev
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K
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w
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s
:
B
elief
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b
ase
E
v
id
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tia
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I
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ec
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Mu
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cr
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d
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Un
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s
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p
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c
c
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ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
A
tiq
u
r
R
a
h
m
a
n
,
Dep
ar
t
m
en
t o
f
C
o
m
p
u
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Scie
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ce
&
E
n
g
in
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r
i
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g
,
Un
i
v
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s
it
y
o
f
C
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it
tag
o
n
g
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C
h
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ttag
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g
-
4331,
B
an
g
lad
esh
.
E
m
ail:
b
u
lb
u
l.c
s
e.
c
u
@
g
m
ail.
c
o
m
1.
I
NT
RO
D
UCT
I
O
N
W
h
en
w
e
atte
m
p
t
to
s
elec
t
s
u
i
tab
le
s
ite
f
o
r
h
o
s
p
ital,
it
i
n
v
o
l
v
es
m
u
ltip
le
cr
iter
io
n
s
s
u
c
h
as
,
lo
ca
tio
n
,
s
af
et
y
,
e
n
v
ir
o
n
m
en
t,
p
ar
k
i
n
g
s
p
ac
e,
L
an
d
co
s
t,
R
is
k
,
tr
a
n
s
p
o
r
tatio
n
co
s
t
a
n
d
u
tili
t
y
co
s
t
etc.
w
h
ic
h
ar
e
q
u
an
tita
tiv
e
a
n
d
q
u
alitati
v
e
in
n
atu
r
e
[1
,
2
]
.
Nu
m
er
ical
d
ata
w
h
ic
h
u
s
e
s
n
u
m
b
er
s
i
s
co
n
s
id
er
ed
as
q
u
an
titativ
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d
ata
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d
ca
n
b
e
m
ea
s
u
r
ed
w
i
t
h
1
0
0
%
ce
r
tain
t
y
[
2
]
.
On
t
h
e
co
n
tr
ar
y
,
q
u
ali
tativ
e
d
ata
is
d
escr
ip
tiv
e
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n
n
at
u
r
e,
w
h
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d
ef
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n
e
s
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o
m
e
c
o
n
ce
p
t
s
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m
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h
ar
ac
ter
is
tic
s
o
r
q
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alit
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o
f
t
h
i
n
g
s
[
3
]
.
Hen
ce
,
th
is
d
ata
ca
n
’
t
d
escr
ib
e
a
th
in
g
w
it
h
ce
r
tain
t
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s
i
n
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it
lack
s
t
h
e
p
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ec
is
io
n
an
d
in
h
er
its
a
m
b
i
g
u
it
y
,
ig
n
o
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an
ce
,
v
ag
u
e
n
e
s
s
.
C
o
n
s
eq
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en
tl
y
,
it
ca
n
b
e
ar
g
u
ed
th
at
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a
litati
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d
ata
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lv
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r
tain
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ce
it
is
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i
f
f
icu
l
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to
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co
n
ce
p
ts
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ch
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ter
is
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w
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1
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.
“Qu
al
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f
L
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”
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s
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ex
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m
p
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o
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eq
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l
ter
m
s
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ce
it
is
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e
x
a
m
p
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o
f
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g
u
is
tic
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m
.
Hen
ce
,
it
is
d
if
f
ic
u
lt
to
ex
tr
ac
t
it
s
co
r
r
e
ct
s
e
m
a
n
tic
s
(
m
ea
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g
)
.
Ho
w
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v
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,
th
is
ca
n
b
e
ev
alu
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u
s
i
n
g
s
o
m
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as
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g
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T
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it
ca
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b
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t
h
at
q
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w
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co
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id
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in
s
elec
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g
h
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s
p
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lo
ca
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in
v
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v
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lo
t
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f
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tai
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ties
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t
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ap
p
r
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p
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m
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s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
: 2
2
5
2
-
8814
I
n
t J
A
d
v
A
p
p
l Sci
,
Vo
l.
9
,
No
.
3
,
Sep
tem
b
er
2
0
2
0
:
2
0
1
–
2
10
202
R
I
ME
R
,
w
h
ich
is
co
n
n
ec
t
t
o
E
v
id
en
tial
r
ea
s
o
n
i
n
g
(
E
R
)
is
a
m
u
l
ti
-
cr
i
ter
ia
d
ec
is
io
n
an
al
y
s
is
(
MC
D
A
)
m
et
h
o
d
[
4
]
.
E
R
d
ea
ls
w
it
h
p
r
o
b
lem
s
,
co
n
s
i
s
ti
n
g
o
f
b
o
th
q
u
an
t
itati
v
e
an
d
q
u
alita
tiv
e
cr
i
ter
ia
u
n
d
er
v
ar
io
u
s
u
n
ce
r
tai
n
tie
s
s
u
ch
a
s
i
n
co
m
p
lete
in
f
o
r
m
atio
n
,
v
ag
u
e
n
es
s
,
a
m
b
ig
u
it
y
[
4
]
.
T
h
e
E
R
ap
p
r
o
ac
h
,
d
ev
elo
p
ed
b
ased
o
n
d
ec
is
io
n
th
eo
r
y
i
n
p
ar
ticu
lar
u
tili
t
y
t
h
eo
r
y
[
5
]
,
ar
tif
icial
i
n
telli
g
e
n
ce
in
p
a
r
ticu
lar
th
e
t
h
eo
r
y
o
f
ev
id
en
ce
[
5
,
6
]
.
I
t
u
s
e
s
a
b
elief
s
tr
u
ctu
r
e
to
m
o
d
el
a
j
u
d
g
m
e
n
t
w
it
h
u
n
ce
r
tai
n
t
y
.
Q
u
ali
tativ
e
attr
ib
u
te
s
u
c
h
as
lo
ca
tio
n
o
r
s
a
f
et
y
n
ee
d
s
to
b
e
ev
al
u
ated
u
s
i
n
g
s
o
m
e
li
n
g
u
is
tic
r
e
f
er
en
tia
l
v
alu
e
s
u
c
h
as
ex
ce
lle
n
t,
a
v
er
ag
e,
g
o
o
d
an
d
b
ad
etc
[5
,
6
]
.
T
h
is
r
eq
u
ir
es
h
u
m
a
n
j
u
d
g
m
e
n
t
f
o
r
ev
alu
a
tin
g
t
h
e
attr
ib
u
tes
b
ase
d
o
n
th
e
m
en
t
io
n
ed
r
ef
er
en
tial
v
al
u
e.
I
n
t
h
i
s
w
a
y
,
t
h
e
is
s
u
e
o
f
u
n
ce
r
tai
n
t
y
ca
n
b
e
ad
d
r
ess
ed
an
d
m
o
r
e
ac
cu
r
ate
a
n
d
r
o
b
u
s
t d
ec
is
io
n
ca
n
b
e
m
ad
e.
T
h
e
b
elief
r
u
le
-
b
ased
in
f
er
en
ce
m
eth
o
d
o
l
o
g
y
-
R
I
ME
R
[
7
]
h
as
ad
d
r
ess
ed
s
u
ch
is
s
u
e
b
y
p
r
o
p
o
s
in
g
a
b
elief
s
tr
u
ct
u
r
e,
w
h
ic
h
ass
i
g
n
s
d
eg
r
ee
o
f
b
elief
in
t
h
e
v
ar
io
u
s
r
ef
er
en
t
ial
v
al
u
es
o
f
t
h
e
attr
ib
u
tes
.
R
o
ad
Map
:
I
n
s
ec
t
io
n
2
w
ill
b
r
ief
l
y
r
ep
r
esen
t
b
elief
r
u
le
b
as
e
in
f
er
en
ce
m
e
th
o
d
o
lo
g
y
-
R
I
M
E
R
.
Sectio
n
3
w
i
ll
d
em
o
n
s
tr
ate
th
e
ap
p
licatio
n
o
f
B
R
B
i
n
h
o
s
p
ital
s
ite
s
elec
ti
o
n
ass
e
s
s
m
e
n
t
p
r
o
b
le
m
.
Sec
ti
o
n
4
w
ill
r
ep
r
esen
t
th
e
r
esu
lts
a
n
d
ac
h
ie
v
e
m
en
t.
F
in
all
y
s
ec
tio
n
5
w
i
ll c
o
n
cl
u
d
e
th
e
r
esear
ch
.
2.
RIM
E
R
T
O
DE
V
E
L
O
P
I
D
S
I
n
R
I
ME
R
,
B
elief
R
u
le
B
a
s
e
(
B
R
B
)
ca
n
ca
p
tu
r
e
co
m
p
licate
d
n
o
n
li
n
ea
r
ca
u
s
al
r
elatio
n
s
h
i
p
s
b
et
w
ee
n
an
tece
d
en
t
attr
ib
u
te
s
a
n
d
co
n
s
eq
u
en
ts
,
w
h
ic
h
i
s
n
o
t
p
o
s
s
ib
le
in
tr
ad
itio
n
al
I
F
-
T
HE
N
r
u
l
es.
B
R
B
is
u
s
ed
to
m
o
d
el
d
o
m
ai
n
s
p
ec
if
ic
k
n
o
w
led
g
e
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n
d
er
u
n
ce
r
tai
n
t
y
,
a
n
d
th
e
E
R
ap
p
r
o
ac
h
is
em
p
lo
y
ed
to
f
ac
ilit
at
e
in
f
er
en
ce
.
T
h
is
s
ec
tio
n
i
n
tr
o
d
u
ce
s
B
R
B
as
a
k
n
o
w
led
g
e
r
e
p
r
esen
tatio
n
s
ch
e
m
a
u
n
d
er
u
n
ce
r
tain
t
y
as
w
ell
a
s
in
f
er
en
ce
p
r
o
ce
d
u
r
es o
f
R
I
ME
R
.
2
.
1
.
M
o
delin
g
do
a
in kn
o
w
ledg
e
us
ing
B
RB
B
elief
R
u
les
ar
e
th
e
k
e
y
co
n
s
titu
e
n
ts
o
f
a
B
R
B
,
w
h
ich
i
n
cl
u
d
e
b
elief
d
eg
r
ee
.
T
h
is
i
s
t
h
e
ex
te
n
d
ed
f
o
r
m
o
f
tr
ad
itio
n
a
l
I
F
-
T
HE
N
r
u
les.
I
n
a
b
elie
f
r
u
le,
ea
ch
a
n
t
ec
ed
en
t
attr
ib
u
te
ta
k
es
r
ef
er
e
n
tial
v
al
u
es
a
n
d
ea
ch
p
o
s
s
ib
le
co
n
s
eq
u
en
t
is
a
s
s
o
cia
ted
w
i
th
b
elie
f
d
e
g
r
ee
s
[
8
]
.
T
h
e
k
n
o
w
led
g
e
r
ep
r
esen
tat
io
n
p
ar
am
eter
s
ar
e
r
u
l
e
w
ei
g
h
ts
,
a
ttrib
u
te
w
eig
h
t
s
a
n
d
b
elief
d
eg
r
ee
s
i
n
co
n
s
eq
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e
n
t a
tt
r
ib
u
te,
w
h
ic
h
ar
e
n
o
t a
v
a
ilab
l
e
in
tr
ad
itio
n
al
I
F
-
T
HE
N
r
u
les.
A
b
elief
r
u
le
ca
n
b
e
d
ef
in
ed
in
t
h
e
f
o
llo
w
i
n
g
wa
y
.
:
{
{
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≥
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2
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3
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W
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2
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en
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en
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te
P
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k
th
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C
j
C
j
C
is
o
n
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th
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co
n
s
eq
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en
t
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(
1
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th
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b
elief
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g
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to
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eq
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f
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aid
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w
i
s
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it
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s
i
n
c
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m
p
lete.
T
k
is
th
e
to
tal
n
u
m
b
er
o
f
an
tece
d
e
n
t
attr
ib
u
tes
u
s
ed
in
k
th
r
u
le
L
is
th
e
n
u
m
b
er
o
f
all
b
elief
r
u
les
i
n
th
e
r
u
le
b
ase.
N
is
t
h
e
n
u
m
b
er
o
f
all
p
o
s
s
ib
le
co
n
s
eq
u
e
n
t
i
n
th
e
r
u
le
b
ase.
Fo
r
ex
a
m
p
le
a
b
elie
f
r
u
le
to
ass
e
s
s
ac
ce
s
s
ib
ilit
y
ter
m
f
o
r
h
o
s
p
ital
ca
n
b
e
w
r
itte
n
i
n
th
e
f
o
llo
w
in
g
w
a
y
.
:
{
_
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{
(
,
(
0
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00
)
)
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(
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00
)
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2
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W
h
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e
{(
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(
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1
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0
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0
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}
is
a
b
elief
d
is
tr
ib
u
t
io
n
f
o
r
ac
ce
s
s
ib
ilit
y
co
n
s
eq
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e
n
t,
s
tati
n
g
t
h
at
th
e
d
eg
r
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f
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elief
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ciate
d
w
ith
E
x
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t
is
0
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w
ith
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d
0
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w
it
h
A
v
er
a
g
e.
I
n
th
is
b
elie
f
r
u
le,
t
h
e
to
tal
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eg
r
e
e
o
f
b
elief
is
(
0
+1
+0
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=1
,
h
en
ce
th
at
th
e
a
s
s
e
s
s
m
en
t is co
m
p
l
ete.
2
.
2
.
B
RB
I
nfe
re
nce
us
ing
E
R
T
h
e
E
R
ap
p
r
o
ac
h
[
9
]
d
ev
elo
p
ed
to
h
an
d
le
m
u
ltip
le
attr
ib
u
te
d
ec
is
io
n
a
n
al
y
s
is
(
M
A
D
A
)
p
r
o
b
lem
h
av
i
n
g
b
o
th
q
u
ali
tati
v
e
an
d
q
u
an
titati
v
e
attr
ib
u
tes.
Di
f
f
er
en
t
f
r
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m
tr
ad
itio
n
al
M
AD
A
ap
p
r
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ac
h
es,
E
R
p
r
ese
n
ts
MA
D
A
p
r
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b
le
m
b
y
u
s
in
g
a
d
ec
is
io
n
m
atr
i
x
,
o
r
a
b
elief
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x
p
r
ess
io
n
m
atr
ix
,
i
n
wh
ich
ea
ch
a
ttrib
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t
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o
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alter
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at
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d
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tio
n
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es
s
m
e
n
t
u
s
i
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b
elief
s
tr
u
ct
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r
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T
h
e
in
f
e
r
en
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p
r
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d
u
r
es
in
B
R
B
in
f
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y
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co
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s
i
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v
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s
u
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a
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i
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p
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t
tr
an
s
f
o
r
m
atio
n
,
r
u
l
e
ac
tiv
a
tio
n
w
eig
h
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
d
v
A
p
p
l Sci
I
SS
N:
2
2
5
2
-
8814
E
vid
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tia
l rea
s
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in
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b
a
s
ed
d
e
cisi
o
n
s
ystem
to
s
elec
t h
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lth
ca
r
e
lo
ca
tio
n
(
Md
.
Ma
h
a
s
h
in
Mia
)
203
ca
lcu
latio
n
,
r
u
le
u
p
d
ate
m
ec
h
an
is
m
,
f
o
llo
w
ed
b
y
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e
ag
g
r
eg
atio
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o
f
th
e
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le
s
o
f
a
B
R
B
b
y
u
s
i
n
g
E
R
[
1
0
-
1
3
]
.
T
h
e
in
p
u
t
tr
an
s
f
o
r
m
a
tio
n
o
f
a
v
alu
e
o
f
an
an
tece
d
en
t
attr
ib
u
te
P
i
co
n
s
is
ts
o
f
d
is
tr
ib
u
ti
n
g
t
h
e
v
al
u
e
in
to
b
elief
d
eg
r
ee
s
o
f
d
i
f
f
er
en
t
r
ef
er
en
ti
al
v
al
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es
o
f
t
h
at
a
n
tece
d
e
n
t.
T
h
is
is
eq
u
iv
a
len
t
to
tr
an
s
f
o
r
m
i
n
g
an
in
p
u
t
i
n
to
a
d
is
tr
ib
u
tio
n
o
n
r
ef
er
en
tia
l
v
a
lu
es
o
f
an
a
n
tece
d
en
t
attr
ib
u
te
b
y
u
s
in
g
th
eir
co
r
r
esp
o
n
d
in
g
b
elief
d
eg
r
ee
s
[
1
4
]
.
T
h
e
ith
v
al
u
e
o
f
an
an
tece
d
en
t
attr
ib
u
te
at
in
s
ta
n
t
p
o
in
t
in
ti
m
e
ca
n
eq
u
i
v
ale
n
tl
y
b
e
tr
an
s
f
o
r
m
ed
i
n
to
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d
is
tr
ib
u
tio
n
o
v
er
t
h
e
r
ef
er
en
t
ial
v
al
u
es,
d
ef
i
n
ed
f
o
r
th
e
attr
i
b
u
te
b
y
u
s
in
g
t
h
eir
b
elief
d
eg
r
ee
s
.
T
h
e
in
p
u
t
v
alu
e
o
f
P
i
,
P
i
w
h
ic
h
is
t
h
e
i
t
h
a
n
tece
d
en
t
attr
ib
u
t
e
o
f
a
r
u
le,
alo
n
g
w
i
th
its
b
eli
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d
eg
r
ee
is
s
h
o
w
n
b
y
(
3
)
.
T
h
e
b
elief
d
e
g
r
ee
to
th
e
in
p
u
t v
al
u
e
is
a
s
s
i
g
n
ed
b
y
t
h
e
ex
p
er
t i
n
th
i
s
r
ese
ar
ch
.
(
,
)
=
{
(
,
)
,
=
1
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,
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1
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(
3
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Her
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H
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m
e
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t
o
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r
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w
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h
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=
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r
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e
in
p
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8
2
f
o
r
A
cc
es
s
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s
eq
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ale
n
tl
y
tr
an
s
f
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to
{(
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}.
T
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e
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p
u
t
v
al
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e
o
f
a
n
a
n
t
ec
ed
en
t
attr
ib
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te
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s
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llected
f
r
o
m
t
h
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ex
p
er
t
i
n
ter
m
s
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li
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Av
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is
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ic
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al
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e
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th
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i
g
n
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d
eg
r
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f
b
elief
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y
tak
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n
g
ac
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o
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er
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j
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d
g
m
en
t.
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h
is
ass
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g
n
ed
d
eg
r
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o
f
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e
n
d
is
tr
ib
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ted
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s
o
f
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eg
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if
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l
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s
[
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ce
llen
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,
Av
er
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e,
B
ad
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o
f
th
e
an
tece
d
en
t
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ib
u
te.
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h
e
ab
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v
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ce
d
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r
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i
n
p
u
t
tr
an
s
f
o
r
m
atio
n
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s
elab
o
r
ated
b
y
(
4
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(
5
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g
iv
en
b
elo
w
.
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w
ev
er
,
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h
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h
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d
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ith
w
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at
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r
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it is
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er
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e.
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h
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p
h
e
n
o
m
en
o
n
ca
n
b
e
ca
lcu
la
ted
w
i
th
t
h
e
f
o
llo
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i
n
g
f
o
r
m
u
la.
1
,
1
,
,
1,
,1
,
n
ni
n
i
n
i
n
n
i
hh
h
i
h
(
4
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,
1,
ni
ni
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f
h
h
h
(
5
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e,
th
e
d
eg
r
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o
f
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elie
f
i
n
,
is
ass
o
ciate
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w
it
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t
h
e
e
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al
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atio
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g
r
ad
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ile
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s
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ciate
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ev
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ex
ce
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h
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h
n
+
1
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h
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elate
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h
ich
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n
s
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as
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k
m
i.e
.
th
e
lo
ca
tio
n
o
f
t
h
e
h
o
s
p
ital.
T
h
e
v
alu
e
o
f
1
n
h
is
r
elate
d
to
av
er
ag
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w
h
ic
h
is
1
.
5
k
m
.
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n
ce
,
ap
p
l
y
i
n
g
(
2
)
th
e
d
is
tr
ib
u
tio
n
o
f
th
e
d
eg
r
e
e
o
f
b
elief
w
it
h
r
esp
ec
t
to
1
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3
Km
o
f
th
e
lo
ca
tio
n
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th
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h
o
s
p
ita
l c
an
b
e
ass
e
s
s
ed
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y
u
s
in
g
(
2
)
an
d
th
e
r
es
u
lt is
g
i
v
en
:
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t,
0
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4
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6
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A
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g
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0
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(
B
ad
,
0
)
},
W
h
en
t
h
e
k
t
h
r
u
le
i
s
ac
ti
v
at
ed
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th
e
w
ei
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h
t
o
f
ac
ti
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o
f
t
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e
k
th
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lcu
lated
b
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th
e
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lo
w
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g
f
o
r
m
u
la
[
15
].
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∑
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1
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lc
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m
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tip
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h
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n
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ig
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1
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̅
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th
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s
u
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ated
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ased
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n
th
e
ac
t
u
al
i
n
p
u
t i
n
f
o
r
m
atio
n
as [
1
0
-
1
3
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
: 2
2
5
2
-
8814
I
n
t J
A
d
v
A
p
p
l Sci
,
Vo
l.
9
,
No
.
3
,
Sep
tem
b
er
2
0
2
0
:
2
0
1
–
2
10
204
=
̅
̅
̅
̅
∑
(
(
,
)
∑
=
=
)
=
∑
(
,
)
=
(
7
)
W
h
er
e,
(
,
)
=
{
0
,
ℎ
1
,
(
=
1
,
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,
)
(
,
)
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{
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,
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1
,
(
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1
,
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,
)
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̅
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̅
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1
̅
̅
̅
̅
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th
e
o
r
ig
i
n
al
b
elie
f
d
eg
r
ee
an
d
β
ik
β
ik
i
s
th
e
u
p
d
ated
b
elief
d
eg
r
ee
.
Du
e
to
t
h
e
i
n
co
m
p
lete
in
p
u
t
f
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r
‘
A
cc
ess
ib
ilit
y
’
,
t
h
e
b
elie
f
d
eg
r
ee
o
f
t
h
e
co
n
n
ec
ted
r
u
les
n
ee
d
s
to
b
e
m
o
d
if
ied
to
s
h
o
w
th
e
i
n
co
m
p
lete
n
es
s
b
y
u
s
i
n
g
(
7
)
.
9
,...
1
;
3
,
2
,
1
,
8
.
0
*
2
6
.
1
k
i
ik
ik
ik
(
8
)
T
h
er
ef
o
r
e
0
<
∑
<
1
3
=
1
f
o
r
all
r
u
les
t
h
at
ar
e
ass
o
ciate
d
w
it
h
‘
C
o
s
t’
.
U
s
i
n
g
th
e
s
u
b
r
u
le
b
as
e,
th
e
as
s
ess
m
e
n
t r
es
u
lt
f
o
r
‘
A
cc
ess
ib
ilit
y
’
is
o
b
tain
ed
u
s
i
n
g
I
D
S s
y
s
te
m
as
A
cc
e
s
s
ib
ilit
y
:
{(
E
x
ce
llen
t,
0
.
6
6
)
,
(
Go
o
d
,
0
.
2
3
)
,
(
A
v
er
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e,
0
.
0
2
)
,
(
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ad
,
0
.
0
0
)
,
(
Un
k
n
o
w
n
,
0
.
0
9
)
}
W
h
er
e,
“
U
n
k
n
o
w
n
”
i
n
t
h
e
ab
o
v
e
r
esu
lt
m
ea
n
s
t
h
at
th
e
o
u
tp
u
t
i
s
also
in
co
m
p
lete
i
n
p
u
t.
E
R
ap
p
r
oa
ch
is
u
s
ed
to
ag
g
r
eg
ate
all
th
e
p
a
ck
et
a
n
tece
d
en
ts
o
f
t
h
e
L
r
u
le
s
to
o
b
tain
t
h
e
d
eg
r
ee
o
f
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h
r
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er
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alu
e
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o
f
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h
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n
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eq
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en
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i
b
u
te
b
y
ta
k
in
g
ac
co
u
n
t
o
f
g
i
v
en
i
n
p
u
t
v
alu
e
s
P
i
P
i
o
f
a
n
tece
d
en
t
attr
ib
u
tes.
T
h
i
s
ag
g
r
e
g
atio
n
ca
n
b
e
ca
r
r
ie
d
o
u
t
eit
h
er
u
s
i
n
g
r
ec
u
r
s
iv
e
o
r
an
al
y
tical
ap
p
r
o
ac
h
.
I
n
th
i
s
r
esear
ch
a
n
al
y
t
ical
ap
p
r
o
ac
h
[
1
4
]
h
as
b
ee
n
co
n
s
id
er
ed
s
in
ce
it
is
co
m
p
u
tat
io
n
all
y
e
f
f
icien
t
t
h
an
r
ec
u
r
s
i
v
e
ap
p
r
o
ac
h
[
1
0
-
1
2
]
,
b
ec
au
s
e
a
n
al
y
tical
ap
p
r
o
ac
h
d
ea
l
w
i
th
all
p
ar
a
m
e
ter
s
u
ch
as
r
u
le
w
ei
g
h
t,
attr
ib
u
te
w
e
ig
h
t
,
b
elief
d
eg
r
ee
,
u
tili
t
y
etc.
Fo
r
th
i
s
w
h
y
th
er
e
is
n
o
c
h
a
n
ce
o
f
ab
s
e
n
ce
o
f
an
y
p
ar
a
m
eter
.
T
h
e
co
n
cl
u
s
io
n
O(
Y
)
,
co
n
s
is
tin
g
o
f
r
ef
er
en
tial
v
a
lu
e
s
o
f
t
h
e
co
n
s
eq
u
e
n
t
attr
ib
u
te
,
is
g
e
n
er
ated
.
E
q
u
atio
n
(
9
)
as
g
iv
e
n
b
elo
w
ill
u
s
tr
ate
s
th
e
ab
o
v
e
p
h
en
o
m
e
n
o
n
:
(
)
=
(
)
=
{
(
,
)
,
=
1
,
…
,
}
(
)
=
(
)
=
{
(
,
)
,
=
1
,
…
,
}
(
9
)
W
h
er
e
β
j
β
j
d
en
o
tes
t
h
e
b
elie
f
d
eg
r
ee
a
s
s
o
ciate
d
w
it
h
o
n
e
o
f
th
e
co
n
s
eq
u
en
t
r
ef
er
e
n
ce
v
alu
es
s
u
ch
a
s
C
j
C
j
T
h
e
β
j
β
j
is
ca
lcu
latin
g
b
y
a
n
al
y
tical
f
o
r
m
at
o
f
t
h
e
E
R
al
g
o
r
it
h
m
[
3
]
as ill
u
s
tr
ated
i
n
(
10
).
=
×
[
∏
(
(
+
1
−
∑
=
1
)
)
−
∏
(
1
−
∑
=
1
)
=
1
=
1
]
1
−
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[
∏
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−
=
1
]
W
ith
=
[
∑
∏
(
+
1
−
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1
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1
∑
=
1
)
−
(
−
1
)
×
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(
1
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1
]
(
1
0
)
T
h
e
f
in
al
co
m
b
in
ed
r
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lt
o
r
o
u
tp
u
t
g
en
er
ated
b
y
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R
is
r
ep
r
esen
ted
b
y
{
(
1
,
1
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,
(
2
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,
(
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(
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W
h
er
e
β
j
β
j
is
th
e
f
in
al
b
elief
d
eg
r
ee
attac
h
ed
to
t
h
e
j
th
r
ef
er
e
n
tial
v
alu
e
o
f
C
j
C
j
t
h
e
co
n
s
eq
u
en
t
at
tr
ib
u
te,
o
b
tain
ed
af
ter
co
m
b
i
n
i
n
g
all
ac
tiv
ated
r
u
le
s
in
t
h
e
B
R
B
b
y
u
s
i
n
g
E
R
.
2
.
3
.
O
utput
o
f
t
he
B
RB
s
y
s
t
em
T
h
e
o
u
tp
u
t
o
f
th
e
B
R
B
s
y
s
te
m
is
n
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t
cr
is
p
/n
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m
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ical
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al
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e.
Hen
ce
,
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s
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u
tp
u
t
ca
n
b
e
co
n
v
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ted
in
to
cr
is
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u
m
er
ical
v
al
u
e
b
y
as
s
ig
n
in
g
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tili
t
y
s
co
r
e
to
ea
ch
r
ef
er
en
tial
v
alu
e
o
f
th
e
co
n
s
eq
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e
n
t
attr
ib
u
te
[
1
6
]
.
(
∗
)
=
∑
(
)
=
1
(
∗
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=
∑
(
)
=
1
(1
1
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W
h
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e
(
∗
)
(
∗
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is
th
e
ex
p
ec
ted
s
co
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e
ex
p
r
ess
ed
as
n
u
m
er
ical
v
alu
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d
(
)
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tili
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ch
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tial
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lu
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Fo
r
ex
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s
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v
er
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ad
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0
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}f
o
r
s
elec
tin
g
h
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s
p
ital,
t
h
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n
t
h
e
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x
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ted
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til
it
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s
co
r
e
is
0
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6
7
5
o
r
6
8
% w
h
ic
h
r
ep
r
esen
ts
g
o
o
d
r
is
k
f
o
r
s
u
itab
l
e
h
o
s
p
ital
lo
ca
tio
n
.
I
n
t
h
is
p
ap
er
th
e
R
I
ME
R
m
et
h
o
d
o
lo
g
y
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ad
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ess
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io
u
s
t
y
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o
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ce
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tai
n
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ch
a
s
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co
m
p
lete
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s
,
i
g
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o
r
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ce
a
n
d
i
m
p
r
ec
is
en
e
s
s
b
y
u
s
i
n
g
(
7
)
an
d
(
1
2
)
.
T
h
e
in
co
m
p
lete
n
es
s
a
s
m
e
n
tio
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ed
o
cc
u
r
s
d
u
e
to
ig
n
o
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an
ce
,
m
ea
n
i
n
g
th
a
t
b
elief
d
eg
r
ee
h
as
n
o
t
b
ee
n
a
s
s
i
g
n
ed
to
an
y
s
p
ec
if
ic
e
v
al
u
a
tio
n
g
r
ad
e
an
d
t
h
is
ca
n
b
e
r
ep
r
esen
ted
u
s
i
n
g
(
1
2
)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
d
v
A
p
p
l Sci
I
SS
N:
2
2
5
2
-
8814
E
vid
en
tia
l rea
s
o
n
in
g
b
a
s
ed
d
e
cisi
o
n
s
ystem
to
s
elec
t h
ea
lth
ca
r
e
lo
ca
tio
n
(
Md
.
Ma
h
a
s
h
in
Mia
)
205
=
1
−
∑
=
1
(1
2
)
W
h
er
e
β
H
is
th
e
b
elie
f
d
eg
r
ee
u
n
a
s
s
i
g
n
ed
to
an
y
s
p
ec
i
f
ic
g
r
a
d
e.
I
f
th
e
v
al
u
e
o
f
β
H
is
ze
r
o
t
h
en
it
ca
n
ar
g
u
ed
th
at
t
h
er
e
is
an
ab
s
en
c
e
o
f
ig
n
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r
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ce
o
r
in
co
m
p
lete
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ess
.
I
f
th
e
v
a
lu
e
o
f
β
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is
g
r
ea
t
er
th
an
ze
r
o
th
en
it
ca
n
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e
in
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at
th
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is
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ig
n
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r
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ce
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r
in
co
m
p
lete
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th
e
a
s
s
es
s
m
en
t.
3.
B
RB
I
DS A
RCH
I
T
E
C
T
UR
E
A
r
c
h
itect
u
r
al
d
esi
g
n
r
ep
r
ese
n
t
s
th
e
s
tr
u
c
tu
r
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f
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ata
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n
d
p
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e
n
t
s
t
h
at
ar
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r
eq
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ir
ed
to
b
u
ild
a
co
m
p
u
ter
-
b
ased
s
y
s
t
e
m
.
I
t
also
co
n
s
id
er
s
th
e
p
atter
n
o
f
t
h
e
s
y
s
te
m
o
r
g
a
n
i
za
tio
n
,
k
n
o
w
n
a
s
ar
ch
itect
u
r
al
s
t
y
le.
B
R
B
I
DS
ad
o
p
ts
th
e
th
r
ee
-
la
y
er
ar
ch
itec
tu
r
e
[
1
5
,
1
7
]
,
w
h
ic
h
co
n
s
i
s
t
o
f
p
r
esen
tatio
n
la
y
er
,
ap
p
licatio
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la
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er
an
d
d
ata
p
r
o
ce
s
s
i
n
g
la
y
er
as s
h
o
w
n
i
n
Fi
g
u
r
e
1.
Fig
u
r
e
1
.
B
R
B
I
DS
ar
ch
itectu
r
e
3
.
1
.
Sy
s
t
e
m
co
m
po
nents
T
h
e
in
p
u
t
clar
if
icatio
n
o
f
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p
u
t
an
tece
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e
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t
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1
1
(
Secu
r
it
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d
ar
o
u
n
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W
1
2
(
Van
d
al
Pro
o
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1
3
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ac
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3
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m
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tr
al
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o
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3
2
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af
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ic
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cc
e
s
s
)
,
W
3
3
(
P
u
b
lic
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r
an
s
p
o
r
t
L
in
k
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,
W
4
1
(
C
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n
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tr
u
ctio
n
C
o
s
t)
,
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4
2
(
L
an
d
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o
s
t)
,
W
5
1
(
L
an
d
R
is
k
)
,
W
5
2
(
C
o
n
s
tr
u
ctio
n
R
is
k
)
,
W
5
3
(
T
im
e
Fra
m
e
an
d
d
eli
v
er
y
Sp
ee
d
)
ar
e
tr
an
s
f
o
r
m
ed
to
r
ef
er
en
tial
v
al
u
e
b
y
eq
u
a
tio
n
(
4
)
,
(
5
)
o
n
b
eh
alf
o
f
e
x
p
er
t.
T
h
e
in
p
u
t
clar
i
f
icatio
n
s
o
f
th
is
B
R
B
s
y
s
te
m
tr
an
s
f
o
r
m
ed
to
r
ef
er
en
tia
l is s
h
o
w
n
in
T
ab
le
1.
T
ab
le
1
.
T
h
e
in
p
u
t a
r
e
tr
an
s
f
o
r
m
ed
in
r
ef
er
e
n
tial
v
al
u
e
S
I
N
o
.
I
n
p
u
t
a
n
t
e
c
e
d
e
n
t
Ex
p
e
r
t
b
e
l
i
e
f
R
e
f
e
r
e
n
t
i
a
l
v
a
l
u
e
Ex
c
e
l
l
e
n
t
G
o
o
d
A
v
e
r
a
g
e
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a
d
0
W
1
1
0
.
2
0
.
0
5
0
.
1
0
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3
0
.
5
5
1
W
1
2
1
1
0
0
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2
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1
3
0
.
8
0
.
5
0
.
5
0
0
3
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2
1
0
.
5
0
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1
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8
0
.
1
0
4
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2
2
1
0
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8
02
0
0
5
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2
3
0
.
9
0
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8
6
0
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1
4
0
0
6
W
3
1
0
.
5
0
.
1
0
.
4
0
.
5
0
7
W
3
2
1
0
.
8
0
.
2
0
0
8
W
3
3
1
0
.
8
0
.
2
0
0
9
W
4
1
0
.
4
0
.
1
0
.
5
0
.
4
0
10
W
4
2
0
.
5
0
.
5
0
.
4
0
.
1
0
11
W
5
1
1
0
.
8
0
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0
0
12
W
5
2
0
.
6
0
.
5
0
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3
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1
0
.
1
13
W
5
3
0
.
7
0
.
6
5
0
.
2
0
.
1
0
.
0
5
3
.
2
.
K
no
w
ledg
e
ba
s
e
co
ns
t
ruct
ed
us
ing
B
RB
I
n
p
r
esen
t
p
ap
er
,
w
e
w
o
r
k
ed
o
n
as
s
es
s
m
e
n
t
p
r
o
ce
s
s
to
s
elec
t
th
e
s
u
itab
le
lo
ca
tio
n
f
o
r
h
o
s
p
ita
l
estab
lis
h
m
e
n
t.
I
n
o
r
d
er
to
co
n
s
tr
u
ct
B
R
B
k
n
o
w
led
g
e
b
ase
o
f
t
h
i
s
s
y
s
te
m
w
e
d
es
ig
n
ed
a
B
R
B
f
r
a
m
e
w
o
r
k
to
s
ite
ass
e
s
s
m
en
t
ac
co
r
d
in
g
to
d
o
m
ain
e
x
p
er
t.
T
h
e
B
R
B
f
r
a
m
e
w
o
r
k
o
f
s
u
itab
le
lo
ca
ti
o
n
ass
es
s
m
e
n
t
as
illu
s
tr
ated
i
n
F
ig
u
r
e
2
,
f
r
o
m
th
e
f
r
a
m
e
w
o
r
k
,
i
t
ca
n
b
e
o
b
s
er
v
ed
th
a
t
i
n
p
u
t
f
ac
to
r
s
t
h
at
d
eter
m
in
e
s
u
itab
le
lo
ca
tio
n
f
o
r
h
o
s
p
ital.
T
h
e
B
R
B
k
n
o
w
led
g
e
b
ase
h
as
d
i
f
f
er
en
t
tr
ad
itio
n
al
r
u
le
to
ass
e
s
s
m
en
t,
w
h
ich
n
ee
d
to
co
n
v
er
t b
elief
r
u
les.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
: 2
2
5
2
-
8814
I
n
t J
A
d
v
A
p
p
l Sci
,
Vo
l.
9
,
No
.
3
,
Sep
tem
b
er
2
0
2
0
:
2
0
1
–
2
10
206
Fig
u
r
e
2
.
Hier
ar
ch
ical
r
elatio
n
s
h
ip
a
m
o
n
g
lo
ca
tio
n
ev
a
lu
atio
n
v
ar
iab
le
I
n
s
u
c
h
s
it
u
atio
n
s
,
b
elief
r
u
le
s
m
a
y
p
r
o
v
id
e
an
alter
n
ati
v
e
s
o
lu
tio
n
to
ac
co
m
m
o
d
ate
d
if
f
er
en
t
t
y
p
es
an
d
d
eg
r
ee
s
o
f
u
n
ce
r
tai
n
t
y
in
r
ep
r
esen
tin
g
d
o
m
ai
n
k
n
o
w
le
d
g
e.
A
B
R
B
ca
n
b
e
estab
li
s
h
ed
in
th
e
f
o
llo
w
in
g
f
o
u
r
w
a
y
s
[1
6
]
(
1
)
E
x
tr
ac
tin
g
b
elief
r
u
le
s
f
r
o
m
ex
p
er
t
k
n
o
w
led
g
e
(
2
)
E
x
tr
ac
tin
g
b
elie
f
r
u
les
b
y
ex
a
m
i
n
i
n
g
h
is
to
r
ical
d
ata;
(
3
)
Usi
n
g
t
h
e
p
r
ev
io
u
s
r
u
le
b
ases
i
f
av
a
ilab
le,
an
d
(
4
)
R
an
d
o
m
r
u
le
s
w
i
th
o
u
t
an
y
p
r
e
-
k
n
o
w
led
g
e.
I
n
th
is
p
ap
er
,
w
e
co
n
s
tr
u
cted
i
n
itial
B
R
B
b
y
t
h
e
d
o
m
ai
n
ex
p
er
t
k
n
o
w
led
g
e.
T
h
is
B
R
B
co
n
s
is
ts
o
f
f
o
u
r
s
u
b
-
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le
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b
ase
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n
a
m
el
y
en
v
ir
o
n
m
e
n
t
a
n
d
s
a
f
et
y
(
W
1
)
,
s
ize
(
W
2
)
,
ac
ce
s
s
ib
ilit
y
(
W
3
)
,
co
s
t
ef
f
ec
ti
v
en
e
s
s
(
W
4
)
,
r
is
k
(
W
5
)
an
d
lo
ca
tio
n
o
f
h
ea
lt
h
ca
r
e
ce
n
ter
(
S).
W
4
(
C
o
s
t
E
f
f
ec
ti
v
en
e
s
s
)
s
u
b
-
r
u
le
-
b
ase
h
a
s
t
h
r
ee
an
tece
d
en
t
attr
ib
u
tes.
E
ac
h
an
tece
d
en
t
attr
ib
u
te
co
n
s
is
ts
o
f
f
o
u
r
r
ef
er
e
n
tial
v
alu
e
s
.
He
n
ce
,
th
is
s
u
b
-
r
u
le
-
b
as
e
co
n
s
is
ts
o
f
1
6
r
u
les.
T
h
e
en
t
ir
e
B
R
B
(
w
h
ich
co
n
s
is
t
s
o
f
s
ix
s
u
b
-
r
u
le
b
ases
)
co
n
s
i
s
t
s
o
f
(
6
4
+6
4
+
6
4
+1
6
+6
4
+
1
0
2
4
)
=1
2
9
6
b
elief
r
u
les.
I
t
is
ass
u
m
ed
t
h
at
all
b
elief
r
u
les
h
av
e
eq
u
al
r
u
le
w
ei
g
h
t
;
all
an
tece
d
en
t
eq
u
al
w
ei
g
h
t,
an
d
th
e
i
n
itial
b
elie
f
d
eg
r
ee
as
s
i
g
n
ed
to
ea
ch
p
o
s
s
ib
le
co
n
s
eq
u
en
t
b
y
t
w
o
e
x
p
er
t
f
r
o
m
ac
c
u
m
u
la
ted
th
e
d
ata.
T
o
b
etter
h
an
d
le
u
n
ce
r
tai
n
tie
s
,
ea
ch
b
elie
f
r
u
le
co
n
s
id
er
ed
t
h
e
th
r
ee
r
ef
e
r
e
n
tial
v
alu
e
s
ar
e
E
x
ce
lle
n
t (
E
)
,
Go
o
d
(
G)
,
A
v
er
ag
e
(
A
)
an
d
B
ad
(
B
)
.
T
ab
le
2
: I
n
itial b
elief
r
u
le
s
o
f
s
u
b
-
r
u
le
-
b
ase
(
co
s
t e
f
f
ec
ti
v
e
n
e
s
s
)
R
u
l
e
N
o
.
R
u
l
e
w
e
i
g
h
t
IF
T
H
EN
W
4
1
W
4
1
C
o
st
e
f
f
e
t
i
v
e
n
e
ss
Ex
c
e
l
l
e
n
t
G
o
o
d
A
v
e
r
a
g
e
b
a
d
0
1
E
E
1
0
0
0
1
1
E
G
0
.
4
0
.
5
0
.
1
0
2
1
E
A
0
.
5
0
0
.
5
0
3
1
E
B
0
.
6
0
.
1
0
.
1
0
.
2
4
1
G
E
0
0
.
8
0
.
3
0
5
1
G
G
0
0
.
6
0
0
6
1
G
A
0
.
3
3
0
.
6
6
0
0
7
1
G
B
0
0
.
9
3
0
.
1
0
8
1
A
E
0
0
.
8
0
.
2
0
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
14
1
B
A
0
.
2
0
0
.
8
0
15
1
B
B
0
0
.
0
6
0
.
9
3
0
A
n
e
x
a
mp
l
e
o
f
a
b
e
l
i
e
f
r
u
l
e
t
a
k
e
n
f
r
o
m T
a
b
l
e
2
i
l
l
u
st
r
a
t
e
d
i
n
f
o
l
l
o
w
:
R
1
:
IF
W
4
1
i
s ‘E‘
A
N
D
W
4
2
i
s ‘E‘
T
H
EN
C
o
s
t
Ef
f
e
c
t
i
v
e
n
e
ss (W
2
)
i
s {E
(
1
.
0
0
)
,
G
(
0
.
0
0
)
,
A
(
0
.
0
0
)
,
B
(
0
.
0
0
)
}
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
d
v
A
p
p
l Sci
I
SS
N:
2
2
5
2
-
8814
E
vid
en
tia
l rea
s
o
n
in
g
b
a
s
ed
d
e
cisi
o
n
s
ystem
to
s
elec
t h
ea
lth
ca
r
e
lo
ca
tio
n
(
Md
.
Ma
h
a
s
h
in
Mia
)
207
3
.
3
.
I
nfe
re
nce
eng
ine u
s
ing
E
R
T
h
is
B
R
B
I
DS
d
e
s
ig
n
ed
u
s
i
n
g
t
h
e
E
R
ap
p
r
o
ac
h
[1
5,
1
7
]
w
h
ic
h
i
s
d
escr
ib
ed
i
n
s
ec
tio
n
2
.
2
.
I
t
is
s
i
m
ilar
to
tr
ad
itio
n
al
f
o
r
w
ar
d
ch
ain
i
n
g
.
T
h
e
in
f
er
en
ce
w
it
h
a
B
R
B
u
s
in
g
th
e
E
R
ap
p
r
o
ac
h
also
in
v
o
l
v
e
s
ass
i
g
n
in
g
v
a
lu
e
s
to
attr
ib
u
tes,
ev
alu
a
tin
g
co
n
d
itio
n
s
a
n
d
ch
ec
k
in
g
to
s
ee
i
f
all
o
f
t
h
e
co
n
d
itio
n
s
i
n
a
r
u
le
ar
e
s
atis
f
ied
.
T
h
e
B
R
B
i
n
f
er
e
n
ce
p
r
o
ce
s
s
u
s
in
g
th
e
E
R
ap
p
r
o
ac
h
d
escr
ib
ed
b
y
t
h
e
f
o
llo
w
i
n
g
s
tep
s
ar
e
in
p
u
t
tr
an
s
f
o
r
m
atio
n
,
ca
lcu
lat
io
n
o
f
th
e
ac
ti
v
atio
n
w
ei
g
h
t,
ca
lcu
la
tin
g
co
m
b
i
n
ed
b
elief
d
eg
r
ee
s
to
all
co
n
s
eq
u
e
n
ts
,
b
elief
d
eg
r
ee
u
p
d
ate
an
d
ag
g
r
e
g
ate
m
u
lt
ip
le
ac
tiv
ated
b
elie
f
r
u
les.
T
h
e
in
p
u
t
s
o
f
d
ata
ar
e
o
f
t
w
o
t
y
p
es,
o
b
j
ec
tiv
e
a
n
d
s
u
b
j
ec
tiv
e.
I
n
p
u
t
tr
a
n
s
f
o
r
m
atio
n
o
f
t
h
is
s
y
s
te
m
an
d
in
p
u
t
clar
i
f
icatio
n
ar
e
d
ed
u
ce
d
in
p
r
ev
io
u
s
s
ec
tio
n
an
d
tab
le
1
b
y
u
s
in
g
(
4
)
,
(
5
)
.
A
f
ter
th
e
v
al
u
e
ass
i
g
n
m
e
n
t
f
o
r
an
te
ce
d
e
n
t,
c
alcu
lati
n
g
t
h
e
co
m
b
i
n
ed
m
at
ch
in
g
d
e
g
r
ee
s
b
et
w
ee
n
t
h
e
i
n
p
u
t
s
an
d
t
h
e
r
u
le
’
s
an
tece
d
en
t
s
,
th
e
n
e
x
t
s
tep
is
t
o
ca
lcu
late
ac
tiv
atio
n
w
e
ig
h
t
f
o
r
ea
ch
p
ac
k
et
an
tece
d
en
t
i
n
th
e
r
u
le
b
ase
u
s
in
g
(
6
)
.
T
h
e
b
elief
d
eg
r
ee
s
in
th
e
p
o
s
s
ib
le
co
n
s
eq
u
e
n
t
o
f
t
h
e
ac
t
iv
ated
r
u
les
i
n
th
e
r
u
le
b
ase
ar
e
u
p
d
ated
u
s
in
g
(
7
)
.
T
h
en
ag
g
r
e
g
ati
n
g
all
ac
ti
v
ated
r
u
les
u
s
in
g
th
e
E
R
ap
p
r
o
ac
h
to
g
en
er
ate
a
co
m
b
i
n
ed
b
elief
d
eg
r
ee
in
p
o
s
s
ib
le
co
n
s
eq
u
e
n
ts
u
s
i
n
g
(
9
)(
10
)
.
T
h
en
e
x
p
ec
ted
r
esu
lt
o
f
s
u
itab
le
lo
ca
tio
n
ass
es
s
m
e
n
t
w
as
c
alcu
lated
f
r
o
m
it
s
d
if
f
er
e
n
t
co
n
s
eq
u
e
n
ts
o
f
f
ac
to
r
s
.
Fin
all
y
,
p
r
esen
tin
g
t
h
e
s
y
s
te
m
in
f
er
e
n
ce
r
esu
lts
o
f
s
u
itab
le
lo
ca
tio
n
co
n
s
eq
u
e
n
t
w
h
ic
h
is
n
o
t
cr
is
p
/n
u
m
er
ical
v
al
u
e,
t
h
en
it
is
co
n
v
er
ted
in
to
cr
is
p
/
n
u
m
er
ical
v
alu
e
f
o
r
r
ec
o
m
m
e
n
d
atio
n
u
s
i
n
g
(
1
1
).
3
.
4
.
B
RB
I
DS int
er
f
a
c
e
S
y
s
te
m
in
ter
f
ac
e
i
s
a
n
i
n
ter
m
ed
iate
p
o
s
itio
n
t
h
at
r
ep
r
esen
t
s
th
e
in
ter
ac
tio
n
b
et
w
ee
n
u
s
e
r
an
d
s
y
s
te
m
.
Fig
u
r
e
3
r
ep
r
esen
ts
th
e
B
R
B
s
y
s
te
m
i
n
ter
f
ac
e
o
f
th
i
s
p
ap
er
.
Fig
u
r
e
3
.
Gr
ap
h
ical
u
s
er
i
n
ter
f
ac
e
o
f
th
e
I
DS
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
I
n
th
e
p
r
ev
io
u
s
s
ec
tio
n
,
w
e
h
av
e
d
is
c
u
s
s
ed
ab
o
u
t
th
e
R
I
ME
R
m
et
h
o
d
an
d
h
o
w
to
i
m
p
le
m
en
t
it.
T
h
er
ef
o
r
e,
in
th
is
s
ec
tio
n
w
e
w
ill
lo
o
k
at
th
e
r
es
u
lt
s
f
r
o
m
u
s
i
n
g
t
h
i
s
m
et
h
o
d
o
n
th
e
d
if
f
er
en
t
t
y
p
e
s
o
f
alter
n
ati
v
es.
Fi
g
u
r
e
4
s
h
o
w
s
t
h
e
as
s
ess
m
e
n
t
d
is
tr
ib
u
tio
n
w
h
i
c
h
m
u
s
t
b
e
d
o
n
e
f
ir
s
t
b
y
e
m
p
lo
y
in
g
th
e
tr
a
n
s
f
o
r
m
at
io
n
eq
u
atio
n
.
An
y
m
ea
s
u
r
e
m
e
n
t
s
o
f
q
u
a
lit
y
ca
n
b
e
tr
an
s
lated
to
th
e
s
a
m
e
s
et
o
f
g
r
ad
es
a
s
th
e
to
p
attr
ib
u
te
w
h
ich
m
a
k
e
i
t
ea
s
y
f
o
r
f
u
r
th
er
a
n
al
y
s
i
s
.
T
h
e
ass
e
s
s
m
en
ts
g
i
v
en
b
y
t
h
e
De
cisi
o
n
Ma
k
er
(
DM
)
in
Fi
g
u
r
e
5
ar
e
f
ed
in
to
I
DS a
n
d
th
e
ag
g
r
e
g
ated
r
esu
lts
ar
e
y
i
eld
ed
at
t
h
e
m
ai
n
cr
iter
ia
lev
el
(
Fig
u
r
e
5
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
: 2
2
5
2
-
8814
I
n
t J
A
d
v
A
p
p
l Sci
,
Vo
l.
9
,
No
.
3
,
Sep
tem
b
er
2
0
2
0
:
2
0
1
–
2
10
208
Fig
u
r
e
4
.
A
s
s
es
s
m
e
n
t
s
co
r
es o
f
s
u
itab
le
lo
ca
tio
n
b
ased
o
n
s
u
b
cr
iter
ia
(E
-
ex
ce
llen
t
, G
-
g
o
o
d
,
A
-
a
v
er
ag
e
, B
-
b
ad
)
Fig
u
r
e
5
.
T
h
e
o
v
er
all
ass
ess
m
en
t
(
alter
n
ati
v
e
s
)
(
Do
B
-
d
eg
r
ee
o
f
b
elief
)
Fig
u
r
e
6.
Ov
er
all
ass
e
s
s
m
e
n
t f
o
r
s
u
itab
le
lo
ca
tio
n
T
h
e
th
r
ee
alter
n
ati
v
es
(
lo
ca
tio
n
)
s
i
m
u
lated
d
ata
s
et
w
it
h
a
s
s
es
s
m
en
t
o
u
tco
m
e
i
s
p
r
esen
ted
i
n
F
ig
u
r
e
6
.
T
h
is
f
ig
u
r
e
r
ep
r
esen
ts
o
v
er
all
a
s
s
es
s
m
en
t
o
u
tco
m
e
f
r
o
m
lo
ca
tio
n
in
f
o
r
m
a
tio
n
.
T
h
e
r
esu
lt
o
f
t
h
i
s
s
y
s
te
m
i
s
m
ea
s
u
r
ed
in
p
er
ce
n
tag
e
f
o
r
r
ec
o
m
m
en
d
atio
n
.
T
h
e
o
u
tp
u
t
o
f
th
is
s
y
s
te
m
w
a
s
g
en
er
ated
b
ased
o
n
o
u
tp
u
t
u
tili
t
y
(
1
1
)
.
I
n
th
is
p
ap
er
,
th
e
u
tili
t
y
s
co
r
e
o
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H
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I
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RE
F
E
R
E
NC
E
S
[1
]
M
S
o
n
m
e
z
,
G
.
G
r
a
h
a
m
a
n
d
J.
B.
Ya
n
g
a
n
d
G
D
Ho
lt
,
“
A
p
p
l
y
in
g
e
v
id
e
n
ti
a
l
re
a
so
n
in
g
to
p
re
-
q
u
a
li
fy
in
g
c
o
n
stru
c
ti
o
n
c
o
n
trac
to
rs”
,
J
o
u
rn
a
l
o
f
M
a
n
a
g
e
me
n
t
in
En
g
in
e
e
rin
g
,
v
o
l.
1
8
,
n
o
.
3
,
p
p
.
1
1
1
-
1
1
9
,
2
0
0
2
.
[2
]
L
isa
M
.
,
T
h
e
S
a
g
e
e
n
c
y
c
lo
p
e
d
i
a
o
f
q
u
a
li
t
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ti
v
e
re
se
a
rc
h
me
th
o
d
s
,
L
o
s A
n
g
e
les
,
Ca
li
f
.
:
S
a
g
e
P
u
b
li
c
a
ti
o
n
s
,
2
0
0
8
.
[3
]
[
On
li
n
e
]
.
h
tt
p
:/
/w
ww
.
p
e
a
rso
n
.
c
h
/1
4
4
9
/
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7
8
0
2
7
3
7
2
2
5
9
5
/A
n
-
In
tro
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u
c
ti
o
n
-
to
-
G
e
o
g
ra
p
h
ica
l.
a
sp
x
[4
]
D.
L
.
X
u
a
n
d
J.
B.
Ya
n
g
,
“
In
tr
o
d
u
c
ti
o
n
t
o
m
u
lt
i
-
c
rit
e
ria
d
e
c
isio
n
m
a
k
in
g
a
n
d
th
e
e
v
id
e
n
ti
a
l
re
a
so
n
in
g
a
p
p
r
o
a
c
h
,
”
W
o
rk
in
g
Pa
p
e
r
S
e
rie
s
,
No
.
0
1
0
6
,
M
a
n
c
h
e
ste
r
S
c
h
o
o
l
o
f
M
a
n
a
g
e
m
e
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t,
UMIS
T
,
p
p
.
1
-
2
1
,
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0
0
1
.
[
On
li
n
e
]
A
v
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a
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le
:
h
tt
p
:
//
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w
.
u
m
ist.
a
c
.
u
k
/
m
a
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g
e
m
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n
t
.
[5
]
L
.
Zad
e
h
,
“
A
si
m
p
le
v
ie
w
o
f
th
e
De
m
p
ste
r
-
S
h
a
f
e
r
th
e
o
r
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o
f
e
v
id
e
n
c
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a
n
d
it
s
im
p
li
c
a
ti
o
n
fo
r
th
e
ru
le
o
f
c
o
m
b
in
a
ti
o
n
,
”
T
h
e
Al
M
a
g
a
zin
e
,
v
o
l.
7
,
n
o
.
2
,
p
p
.
8
5
-
9
0
,
1
9
8
6
.
[6
]
Ka
ri
S
e
n
tz
a
n
d
S
c
o
tt
F
e
rso
n
,
C
o
mb
in
a
ti
o
n
o
f
Evid
e
n
c
e
i
n
De
mp
st
e
r
–
S
h
a
fer
T
h
e
o
ry
,
S
a
n
d
ia
Na
ti
o
n
a
l
L
a
b
o
ra
to
ries
S
A
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2
0
0
2
-
0
8
3
5
,
2
0
0
2
[7
]
Bra
g
g
e
,
J
,
e
t
a
l
,
“
Bib
l
io
m
e
tri
c
a
n
a
l
y
sis
o
f
m
u
lt
ip
le
c
rit
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d
e
c
isio
n
m
a
k
in
g
/
m
u
lt
iattri
b
u
te
u
ti
li
ty
th
e
o
r
y
,”
M
u
lt
ip
le
c
riter
ia
d
e
c
isio
n
ma
k
in
g
f
o
r su
sta
in
a
b
le en
e
rg
y
a
n
d
tra
n
sp
o
rt
a
ti
o
n
sy
ste
ms
,
p
p
.
2
5
9
–
2
6
8
,
2
0
1
0
.
[8
]
B.
Ya
n
g
a
n
d
P
.
S
e
n
,
“
M
u
lt
i
p
le
a
tt
rib
u
te
d
e
sig
n
e
v
a
lu
a
ti
o
n
o
f
larg
e
e
n
g
in
e
e
rin
g
p
ro
d
u
c
ts
u
si
n
g
th
e
e
v
id
e
n
ti
a
l
re
a
so
n
in
g
a
p
p
r
o
a
c
h
,
”
J
o
u
rn
a
l
o
f
En
g
i
n
e
e
rin
g
De
sig
n
,
v
o
l.
8
,
n
o
.
3
,
p
p
.
2
1
1
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2
3
0
,
1
9
9
7
[9
]
M
a
h
m
u
d
,
T
,
Ho
ss
a
in
,
M
.
S
, “
A
n
Ev
id
e
n
ti
a
l
Re
a
so
n
in
g
-
b
a
se
d
De
c
isio
n
S
u
p
p
o
rt
S
y
ste
m
to
S
u
p
p
o
rt
Ho
u
se
Hu
n
ti
n
g
,
”
I
n
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
C
o
mp
u
ter
Ap
p
l
ica
ti
o
n
s
,
v
o
l.
57
,
n
o
.
21
,
p
p
.
51
-
5
8
,
2
0
1
2
.
[1
0
]
Ya
n
g
,
J.
B.
,
L
iu
,
J.,
W
a
n
g
,
J.,
S
ii
,
H.
S
.
&
W
a
n
g
,
H.
W
.
,
“
Be
li
e
f
ru
le
-
b
a
se
in
f
e
re
n
c
e
m
e
th
o
d
o
lo
g
y
u
sin
g
th
e
e
v
id
e
n
ti
a
l
re
a
so
n
in
g
a
p
p
ro
a
c
h
-
RIM
ER
,
”
IEE
E
T
ra
n
sa
c
t
io
n
s
o
n
S
y
ste
ms
M
a
n
a
n
d
Cy
b
e
rn
e
ti
c
s
Pa
rt
A
-
S
y
ste
ms
a
n
d
Hu
ma
n
s
,
v
o
l.
36
,
n
o
.
2
,
p
p
.
2
6
6
-
2
8
5
,
2
0
0
6
.
[1
1
]
D.L
.
X
u
,
e
t
a
l
, “
In
f
e
re
n
c
e
a
n
d
lea
rn
in
g
m
e
th
o
d
o
lo
g
y
o
f
b
e
li
e
f
-
ru
le
-
b
a
se
d
e
x
p
e
rt
s
y
ste
m
f
o
r
p
ip
e
li
n
e
lea
k
d
e
tec
ti
o
n
,
”
Exp
e
rt S
y
ste
ms
wit
h
A
p
p
l
ica
ti
o
n
s
,
v
o
l.
32
,
n
o
.
7
,
p
p
.
1
0
3
–
1
1
3
,
2
0
0
7
[1
2
]
J
.
Ya
n
g
,
e
t
a
l
,
“
Op
ti
m
iza
ti
o
n
m
o
d
e
ls
f
o
r
train
in
g
b
e
li
e
f
-
ru
le
-
b
a
se
d
sy
ste
m
s
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
S
y
ste
ms
,
M
a
n
,
a
n
d
Cy
b
e
rn
e
ti
c
s
-
P
a
rt A
:
S
y
ste
ms
a
n
d
Hu
ma
n
s
,
v
o
l
.
37
,
n
o
.
4
,
p
p
.
569
–
5
8
5
,
2
0
0
7
[1
3
]
P
a
tw
a
r
y
,
M
.
J.A
,
A
k
t
e
r,
S
,
M
a
h
m
u
d
,
T
.,
“
A
n
e
x
p
e
rt
s
y
ste
m
to
d
e
tec
t
u
terin
e
c
a
n
c
e
r
u
n
d
e
r
u
n
c
e
rtain
ty
,
”
IOS
R
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
E
n
g
i
n
e
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5
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36
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47
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2
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1
4
[1
4
]
A
.
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.
No
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v
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.
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M
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.
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m
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K.N.;
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M
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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8814
I
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t J
A
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v
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p
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l Sci
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Vo
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9
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3
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Sep
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b
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2
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2
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10
210
M
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k
n
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e
o
f
c
o
m
p
u
ter sc
ien
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e
.
Evaluation Warning : The document was created with Spire.PDF for Python.