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Ch
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g
th
e
rig
h
t
c
o
m
p
u
ter
-
a
id
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d
d
e
sig
n
(CAD
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so
ftwa
re
is
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c
o
m
p
lex
tas
k
d
u
e
to
th
e
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e
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riety
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f
a
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il
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le o
p
ti
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s.
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i
n
g
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se
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p
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s a
n
d
re
v
iew
s
m
a
y
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t
b
e
su
fficie
n
t
,
wh
ich
h
i
g
h
li
g
h
t
in
g
th
e
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e
e
d
fo
r
a
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c
isio
n
su
p
p
o
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t
sy
ste
m
.
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t
h
is
p
a
p
e
r,
we
d
e
v
e
l
o
p
a
n
d
e
v
a
lu
a
te
a
h
y
b
ri
d
re
c
o
m
m
e
n
d
a
ti
o
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p
ro
g
ra
m
(HRP)
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r
CAD
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re
writt
e
n
in
th
e
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y
t
h
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n
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ra
m
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se
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ra
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teristics
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o
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rid
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teg
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terin
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i
q
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e
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te
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s
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c
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d
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n
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ra
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d
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a
p
p
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p
riate
f
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v
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ry
p
r
o
fil
e
.
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u
se
d
th
e
a
n
a
ly
ti
c
h
iera
rc
h
y
p
r
o
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P
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m
e
th
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t
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rit
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ria
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o
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re
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m
m
e
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ra
m
.
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tes
ted
t
h
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late
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CAD
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h
e
lp
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p
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o
p
le
c
h
o
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se
CAD
so
ftwa
re
.
K
ey
w
o
r
d
s
:
An
aly
tic
h
ier
ar
ch
y
p
r
o
ce
s
s
C
o
llab
o
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ativ
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f
ilter
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p
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ter
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d
esig
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b
ased
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ilter
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g
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b
r
id
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ilter
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g
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ea
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est n
eig
h
b
o
r
s
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
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
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nd
ing
A
uth
o
r
:
Yo
u
n
es Z
id
an
i
L
ab
o
r
ato
r
y
o
f
Mo
d
ellin
g
an
d
Simu
latio
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o
f
I
n
tellig
en
t I
n
d
u
s
tr
ial
Sy
s
tem
s
,
E
NSET
o
f
Mo
h
am
m
ed
ia
Hass
an
I
I
Un
iv
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s
ity
o
f
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asab
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asab
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r
o
cc
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m
ail: z
id
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i_
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u
n
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o
o
.
f
r
1.
I
NT
RO
D
UCT
I
O
N
C
o
m
p
u
ter
-
aid
ed
tec
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n
iq
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es,
s
u
ch
as
co
m
p
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te
r
-
aid
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esig
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(
C
AD)
,
co
m
p
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ter
-
aid
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d
m
an
u
f
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tu
r
in
g
(
C
AM
)
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co
m
p
u
ter
-
aid
e
d
en
g
i
n
ee
r
in
g
(
C
AE
)
,
an
d
p
r
o
d
u
ct
lif
ec
y
cle
m
an
ag
em
e
n
t
(
PLM
)
,
p
l
ay
a
cr
u
cial
r
o
le
in
th
e
cr
ea
tio
n
o
f
n
ew
p
r
o
d
u
cts
[
1
]
.
T
h
ey
s
ig
n
if
ica
n
tly
d
ec
r
ea
s
e
th
e
tim
e
r
e
q
u
ir
ed
to
la
u
n
ch
a
n
ew
v
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s
io
n
o
f
a
p
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d
u
ct
in
to
th
e
m
ar
k
et.
C
o
n
d
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ctin
g
test
s
o
n
v
ir
tu
al
p
r
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to
ty
p
es
ac
ce
ler
ates
th
e
in
tr
o
d
u
ctio
n
o
f
th
e
f
in
al
v
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n
in
t
o
th
e
m
ar
k
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C
o
n
s
e
q
u
en
tly
,
th
is
r
esu
lts
in
r
ed
u
ce
d
ex
p
e
n
s
es
[
2
]
.
C
AD
is
a
cr
u
cia
l
to
o
l f
o
r
teac
h
in
g
g
r
ap
h
ic
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g
in
ee
r
in
g
.
I
t
allo
ws
u
s
er
s
to
cr
ea
te
m
o
r
e
p
r
ec
is
e
an
d
r
ea
lis
tic
m
o
d
els
an
d
d
r
a
win
g
s
,
an
d
to
m
ak
e
m
o
d
if
icatio
n
s
ea
s
ily
an
d
ef
f
ici
en
tly
.
C
AD
is
u
s
ed
f
o
r
th
e
cr
ea
tio
n
o
f
p
r
ec
is
e
an
d
i
n
tr
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d
r
awin
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s
n
ec
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ar
y
f
o
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th
e
m
an
u
f
ac
t
u
r
in
g
o
f
item
s
.
On
ev
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y
d
ay
o
f
th
eir
liv
es,
al
m
o
s
t
ev
er
y
o
n
e
f
ac
es
th
e
p
a
r
ad
o
x
o
f
c
h
o
ice
[
3
]
.
As
a
r
esu
lt,
u
s
er
s
n
ee
d
r
ec
o
m
m
en
d
er
s
y
s
tem
(
R
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to
m
ak
e
b
etter
d
e
cisi
o
n
s
wh
en
f
ac
ed
with
th
is
r
an
g
e
o
f
in
f
o
r
m
atio
n
an
d
p
r
o
d
u
cts
[
4
]
.
T
h
e
a
d
v
an
ce
m
e
n
t
in
in
f
o
r
m
atio
n
tech
n
o
lo
g
y
h
as
r
esu
lted
in
th
e
cr
ea
tio
n
o
f
n
ew
co
m
m
er
cial
p
o
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tals
an
d
co
m
p
r
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h
en
s
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p
r
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d
u
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in
f
o
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.
A
R
S
ass
i
s
ts
u
s
er
s
wh
o
ar
e
f
ac
ed
with
a
lar
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n
u
m
b
er
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p
tio
n
s
an
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ar
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ab
le
to
m
a
k
e
well
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in
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s
.
T
h
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s
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s
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s
p
r
o
p
o
s
e
attr
ac
tiv
e
g
o
o
d
s
an
d
s
er
v
ices
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
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8
9
3
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I
n
t J Ar
tif
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tell
,
Vo
l.
1
5
,
No
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2
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Ap
r
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2
6
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1
9
3
1
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1
9
4
6
1932
to
h
elp
u
s
er
s
m
ak
e
th
eir
s
elec
tio
n
s
.
T
h
e
u
s
e
o
f
R
S
in
liter
atu
r
e
h
as
in
cr
ea
s
ed
s
ig
n
i
f
ican
tly
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T
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n
wid
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ev
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p
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im
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en
ted
in
v
ar
io
u
s
f
ield
s
s
u
ch
as
ed
u
ca
tio
n
[
5
]
–
[
7
]
,
e
-
co
m
m
er
ce
[
8
]
,
s
tr
ea
m
in
g
m
o
v
ies
[
9
]
,
m
u
s
ic
[
1
0
]
,
s
o
cial
n
etwo
r
k
in
g
[
1
1
]
,
b
o
o
k
s
[
1
2
]
,
f
o
o
d
[
1
3
]
,
an
d
h
ea
lth
[
1
4
]
.
C
u
r
r
en
t
l
y
,
R
S
s
u
g
g
e
s
t
g
o
o
d
s
o
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h
in
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o
c
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u
m
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b
y
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a
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n
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t
s
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n
d
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v
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s
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A
c
co
r
d
i
n
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t
o
V
e
r
b
er
t
e
t
a
l
.
[
1
5
]
,
R
S
c
a
n
b
e
d
iv
i
d
ed
in
t
o
th
r
e
e
c
a
t
e
g
o
r
i
e
s
:
co
l
l
a
b
o
r
a
t
iv
e
f
i
l
t
e
r
in
g
(
C
F
)
,
c
o
n
t
e
n
t
-
b
a
s
ed
f
i
l
t
e
r
in
g
(
C
B
F
)
,
a
n
d
h
y
b
r
i
d
f
i
l
t
e
r
in
g
.
B
u
t
th
e
r
e
ar
e
o
t
h
er
t
y
p
e
s
,
wh
i
c
h
h
av
e
b
e
e
n
d
e
a
l
t
w
i
t
h
b
y
[
1
6
]
.
Fo
r
C
F
,
t
h
e
f
i
r
s
t
a
r
t
i
c
le
w
a
s
p
r
es
e
n
t
e
d
i
n
th
e
m
id
-
9
0
s
[
1
7
]
.
M
a
l
o
n
e
e
t
a
l
.
[
1
8
]
p
r
o
p
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s
ed
t
w
o
c
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t
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o
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e
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o
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r
m
a
t
io
n
f
i
lt
e
r
in
g
.
T
h
e
f
ir
s
t
c
a
t
eg
o
r
y
i
s
co
g
n
i
t
i
v
e
f
i
l
t
e
r
in
g
,
c
u
r
r
en
t
l
y
k
n
o
wn
a
s
C
B
F
.
T
h
e
s
e
co
n
d
ca
t
e
g
o
r
y
i
s
s
o
c
ia
l
f
i
l
te
r
in
g
;
k
n
o
w
n
C
F
.
C
F
i
s
b
a
s
e
d
o
n
s
i
m
i
l
ar
it
y
b
e
t
w
e
e
n
u
s
er
s
.
A
n
a
n
a
ly
s
i
s
o
f
t
h
e
u
s
e
r
's
p
a
s
t
b
e
h
av
io
r
i
s
co
n
d
u
c
t
ed
to
d
e
te
r
m
i
n
e
t
h
e
c
o
n
n
ec
t
i
o
n
s
b
e
t
we
e
n
u
s
e
r
an
d
th
i
n
g
s
o
f
i
n
te
r
e
s
t
.
T
h
i
s
an
a
l
y
s
i
s
i
s
u
s
e
d
t
o
r
e
co
m
m
e
n
d
a
n
i
te
m
b
a
s
e
d
o
n
p
r
ef
e
r
en
c
e
s
o
f
o
t
h
e
r
u
s
e
r
s
wh
o
h
a
v
e
s
i
m
i
l
a
r
in
t
e
r
e
s
t
s
[
1
9
]
.
CF
s
u
f
f
er
s
f
r
o
m
s
ev
er
al
p
r
o
b
lem
s
,
s
u
ch
as
d
ata
s
p
ar
s
ity
,
co
ld
s
tar
t
p
r
o
b
lem
s
,
s
ca
lab
ilit
y
,
an
d
s
y
n
o
n
y
m
y
[
2
0
]
.
W
h
en
it
co
m
e
s
to
C
B
F
,
it
i
s
b
ased
o
n
u
s
er
b
eh
av
io
r
.
I
f
a
u
s
er
lik
es
a
p
r
o
d
u
ct,
we
r
ec
o
m
m
e
n
d
a
s
im
ilar
o
n
e.
T
h
is
m
eth
o
d
is
wid
ely
u
s
ed
in
m
an
y
f
ield
s
w
h
er
e
p
r
o
d
u
ct
ev
alu
atio
n
is
an
im
p
o
r
tan
t
asp
ec
t
o
f
th
is
tech
n
iq
u
e
[
2
1
]
.
An
o
th
er
t
y
p
e
o
f
r
ec
o
m
m
en
d
atio
n
s
y
s
te
m
,
wh
ich
is
d
em
o
g
r
ap
h
ic
f
ilter
in
g
.
T
h
is
ty
p
e
o
f
s
y
s
tem
s
u
g
g
ests
p
r
o
d
u
cts
to
cu
s
to
m
er
s
ac
c
o
r
d
in
g
t
o
th
e
ir
d
em
o
g
r
ap
h
ic
p
r
o
f
ile.
T
h
e
ad
v
a
n
tag
e
o
f
th
is
d
em
o
g
r
a
p
h
ic
a
p
p
r
o
ac
h
is
th
at
cu
s
to
m
er
ass
ess
m
en
ts
ar
e
g
en
er
ally
n
o
t
r
eq
u
ir
e
d
f
o
r
s
ty
lin
g
,
wh
ich
is
d
esira
b
le
in
co
llab
o
r
ativ
e,
co
n
ten
t
-
b
ased
ap
p
r
o
ac
h
es
[
2
2
]
.
Similar
ly
,
k
n
o
wled
g
e
-
b
ased
s
y
s
tem
s
s
u
g
g
est
p
r
o
d
u
cts
b
ase
d
o
n
ce
r
tain
d
o
m
ai
n
k
n
o
wled
g
e
ab
o
u
t
h
o
w
p
a
r
ticu
lar
p
r
o
d
u
ct
attr
ib
u
tes
m
ee
t
cu
s
to
m
er
r
eq
u
ir
em
e
n
ts
an
d
p
r
ef
er
en
ce
s
an
d
,
u
ltima
tely
,
h
o
w
th
e
c
u
s
to
m
er
u
s
es
th
e
p
r
o
d
u
cts
[
1
0
]
.
I
n
a
d
d
itio
n
,
co
m
m
u
n
ity
-
b
ased
s
u
g
g
ests
th
at
cu
s
to
m
er
s
ar
e
m
o
r
e
in
ter
ested
in
r
ec
o
m
m
e
n
d
atio
n
s
f
r
o
m
th
eir
f
r
ien
d
s
th
an
f
r
o
m
r
elate
d
b
u
t
an
o
n
y
m
o
u
s
u
s
er
s
[
2
3
]
.
B
esid
es
th
ese
ad
a
p
ted
m
et
h
o
d
s
,
o
th
er
r
ec
o
m
m
e
n
d
atio
n
m
eth
o
d
s
,
s
u
ch
as
h
y
b
r
id
m
eth
o
d
o
l
o
g
ies,
ex
is
t in
th
e
liter
atu
r
e
[
2
4
]
.
Pre
v
io
u
s
m
eth
o
d
s
s
u
f
f
er
f
r
o
m
th
e
co
ld
s
tar
t
p
r
o
b
lem
,
s
p
ar
s
i
ty
,
an
d
s
ca
lab
ilit
y
[
2
5
]
,
[
2
6
]
.
I
t
is
d
u
e
to
th
e
lack
o
f
in
f
o
r
m
atio
n
o
n
u
s
er
p
r
ef
er
e
n
ce
s
,
wh
ich
is
n
ec
es
s
ar
y
f
o
r
th
e
s
y
s
tem
to
d
ev
elo
p
a
m
o
d
el
b
ased
o
n
th
e
u
s
er
'
s
in
ter
ests
[
2
7
]
.
W
h
en
it
co
m
es
to
n
ew
item
s
o
r
p
r
o
d
u
cts
with
lo
w
u
s
er
r
atin
g
s
,
s
p
ar
s
ity
af
f
ec
ts
th
e
r
ec
o
m
m
en
d
atio
n
alg
o
r
ith
m
[
2
8
]
.
T
h
is
m
ajo
r
p
r
o
b
lem
li
m
its
th
e
u
s
ef
u
ln
ess
o
f
CF
[
2
9
]
.
T
h
e
alg
o
r
ith
m
s
n
ec
ess
itate
ca
lcu
latio
n
s
th
at
in
cr
ea
s
e
with
th
e
n
u
m
b
er
o
f
cu
s
to
m
er
s
an
d
p
r
o
d
u
cts.
A
class
ic
web
-
b
ased
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
,
u
s
in
g
cu
r
r
en
t
alg
o
r
ith
m
s
,
m
ay
en
c
o
u
n
ter
s
ig
n
if
ican
t
s
ca
lab
ilit
y
p
r
o
b
lem
s
d
u
e
t
o
th
e
lar
g
e
n
u
m
b
er
o
f
cu
s
to
m
er
s
an
d
p
r
o
d
u
cts
it
s
er
v
es
[
3
0
]
.
Mu
s
ic
an
d
f
ilm
R
S
en
co
u
n
ter
th
i
s
p
r
o
b
lem
[
1
0
]
.
I
n
ad
d
itio
n
to
th
ese
th
r
ee
p
r
o
b
le
m
s
,
we
also
f
in
d
s
y
n
o
n
y
m
y
,
a
p
h
en
o
m
en
o
n
th
at
o
cc
u
r
s
wh
en
s
ev
er
al
id
en
tical
o
r
ex
tr
em
ely
s
im
ilar
o
b
jects
o
r
co
n
ce
p
ts
h
av
e
d
is
tin
ct
n
am
es
o
r
en
tr
ies.
T
h
e
m
ajo
r
ity
o
f
R
S
d
o
n
o
t
h
a
v
e
th
e
ca
p
ac
ity
to
d
is
co
v
er
t
h
is
h
id
d
en
lin
k
,
s
o
th
ey
tr
ea
t
th
ese
p
r
o
d
u
cts
d
if
f
e
r
en
tly
[
2
0
]
.
Hy
b
r
i
d
f
ilter
in
g
is
d
ef
in
ed
as
a
co
m
b
in
atio
n
o
f
CF
an
d
C
B
F
.
T
h
e
m
eth
o
d
is
co
n
s
tr
u
cted
b
y
m
er
g
i
n
g
p
r
e
-
e
x
is
tin
g
tech
n
iq
u
es
in
o
r
d
e
r
to
tak
e
ad
v
a
n
tag
e
o
f
th
eir
r
esp
e
ctiv
e
ad
v
an
ta
g
es
wh
ile
m
in
im
izin
g
th
eir
d
is
ad
v
an
tag
es
[
3
1
]
.
T
h
e
u
s
e
o
f
R
S
in
liter
atu
r
e
h
as in
cr
ea
s
ed
s
ig
n
if
i
ca
n
tly
.
Kn
o
wn
as
th
e
s
u
p
er
v
is
ed
m
ac
h
in
e
-
lear
n
in
g
alg
o
r
ith
m
,
th
e
k
-
n
ea
r
est
n
eig
h
b
o
r
(
KNN
)
m
eth
o
d
lear
n
s
a
s
p
ec
if
ic
f
u
n
cti
o
n
th
at
will
p
r
o
v
id
e
an
a
p
p
r
o
p
r
iate
o
u
tp
u
t
[
3
2
]
.
T
h
e
u
s
e
o
f
KNN
in
R
S
is
b
en
ef
icial
in
e
-
co
m
m
er
ce
,
s
o
cial
m
ed
ia,
an
d
h
ea
lth
ca
r
e
,
an
d
it
is
a
v
alu
a
b
le
to
o
l
f
o
r
p
r
o
d
u
cin
g
ac
c
u
r
a
te
an
d
c
u
s
to
m
ized
r
ec
o
m
m
en
d
atio
n
s
[
3
3
]
.
Used
alo
n
e,
tr
ad
itio
n
al
tech
n
iq
u
e
s
th
at
in
clu
d
e
C
B
F
an
d
C
F
h
av
e
lim
itatio
n
s
.
T
h
e
v
a
r
iety
o
f
C
AD
s
o
f
twar
e
o
p
tio
n
s
p
r
esen
ts
a
c
h
allen
g
e
f
o
r
p
eo
p
le
in
f
in
d
in
g
s
o
f
twar
e
th
at
co
r
r
esp
o
n
d
s
to
th
eir
s
p
ec
if
ic
n
ee
d
s
.
Ad
d
itio
n
ally
,
th
er
e
is
an
ab
s
en
ce
o
f
p
r
o
g
r
am
s
th
at
s
u
g
g
est
r
ec
o
m
m
en
d
atio
n
s
b
ased
o
n
u
s
er
-
d
ef
in
e
d
cr
iter
ia
in
th
e
co
n
tex
t o
f
C
AD
an
d
en
g
in
ee
r
in
g
.
T
h
e
aim
o
f
o
u
r
p
r
esen
t
r
esear
ch
is
to
cr
ea
te
a
n
d
ev
alu
ate
a
h
y
b
r
id
r
ec
o
m
m
en
d
atio
n
p
r
o
g
r
am
(
HR
P)
th
at
u
s
es
h
y
b
r
id
f
ilter
in
g
to
r
ec
o
m
m
en
d
C
AD
s
o
f
twar
e,
wh
ich
co
m
b
in
es
th
e
ca
p
a
b
ilit
ies
o
f
C
F
an
d
C
B
F
,
u
tili
zin
g
th
e
KNN
alg
o
r
ith
m
,
a
s
im
p
le
b
u
t
ef
f
icien
t
m
eth
o
d
f
o
r
id
en
tify
i
n
g
s
im
ilar
ities
[
3
4
]
.
C
o
m
b
in
in
g
th
e
b
est
f
ea
tu
r
es
o
f
C
B
F,
C
F
,
an
d
KNN
p
r
o
d
u
ce
s
ac
cu
r
ate
an
d
p
er
s
o
n
alize
d
s
u
g
g
esti
o
n
s
.
I
n
o
r
d
er
to
ex
ec
u
te
th
is
p
ar
ticu
lar
p
r
o
g
r
am
,
it
is
im
p
o
r
tan
t
to
o
wn
a
d
atab
ase
th
at
e
n
co
m
p
ass
es
co
m
p
r
e
h
en
s
iv
e
d
etails
o
n
th
e
m
a
n
y
s
o
f
twar
e
p
ac
k
ag
es a
cc
ess
ib
le
with
in
th
e
C
AD
d
o
m
ain
.
W
h
il
e
we
ca
n
cite
a
wid
e
r
an
g
e
o
f
th
em
,
o
u
r
wo
r
k
will
f
o
cu
s
o
n
th
e
m
o
s
t
r
elev
an
t
o
n
es.
Fo
r
th
is
p
u
r
p
o
s
e,
we
p
r
o
p
o
s
e
th
e
f
o
llo
win
g
m
o
s
t
wid
ely
u
s
ed
s
o
f
twar
e:
C
atia,
So
lid
W
o
r
k
s
,
So
lid
E
d
g
e,
Au
to
C
ad
,
an
d
T
o
p
So
lid
.
Data
p
er
tain
in
g
to
ea
ch
o
f
s
o
f
twar
e
p
ac
k
ag
es
ex
am
in
ed
will b
e
g
ath
er
ed
v
ia
a
q
u
esti
o
n
n
air
e
[
3
5
]
,
wh
ich
w
ill b
e
d
is
tr
ib
u
ted
am
o
n
g
p
eo
p
l
e
wh
o
ar
e
in
v
o
lv
ed
in
f
ield
o
f
C
AD.
T
h
e
s
tr
u
ctu
r
e
o
f
th
e
ar
ticle
is
as
f
o
llo
ws:
f
ir
s
tly
,
th
e
s
ec
ti
o
n
o
n
t
h
e
s
tate
o
f
th
e
ar
t,
in
wh
ich
we
r
ev
iew
th
e
r
ec
o
m
m
e
n
d
atio
n
m
eth
o
d
s
u
s
ed
in
d
if
f
er
e
n
t
f
ield
s
,
d
is
cu
s
s
in
g
th
eir
ad
v
a
n
tag
es
a
n
d
lim
itatio
n
s
,
a
n
d
th
e
m
eth
o
d
s
f
o
r
ev
alu
atin
g
r
ec
o
m
m
en
d
atio
n
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I
t
also
Evaluation Warning : The document was created with Spire.PDF for Python.
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Hyb
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Ref
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a
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me
t
h
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d
A
p
p
l
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c
a
t
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n
d
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ma
i
n
[
2
5
]
CF
C
o
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a
p
p
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c
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1
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e
B
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k
s
[
2
7
]
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y
b
r
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d
f
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g
a
p
p
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b
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l
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r
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r
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M
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p
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c
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[
3
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R
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p
r
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c
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si
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,
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c
a
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[
9
]
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f
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r
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s
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3
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]
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[
3
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]
C
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[
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]
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[
3
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M
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e
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n
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t
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[
4
0
]
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y
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1
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v
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n
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o
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d
[
4
1
]
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y
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a
p
p
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La
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s
[
4
2
]
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y
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a
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1
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M
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[
4
3
]
C
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v
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l
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t
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a
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r
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y
M
u
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Tr
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t
,
R
M
S
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M
o
v
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s
[
4
4
]
AHP
C
A
D
so
f
t
w
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r
e
[
4
5
]
H
y
b
r
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d
f
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a
p
p
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1
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M
o
v
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2
.
2
.
G
ra
ph
o
f
t
he
m
o
s
t
us
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a
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ro
a
ches in r
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m
m
ender
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y
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t
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s
T
h
e
f
o
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p
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(
Fig
u
r
e
1
)
s
h
o
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u
s
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o
f
d
if
f
er
en
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m
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t
s
h
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y
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r
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e
m
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t
wid
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with
a
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3
2
%,
wh
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CF
an
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r
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etwo
r
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in
2
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d
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with
a
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em
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g
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2
.
3
.
M
et
ho
ds
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f
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ev
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Fig
u
r
e
2
illu
s
tr
ates
th
e
d
iv
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s
e
r
an
g
e
o
f
e
v
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n
m
etr
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em
p
lo
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in
th
e
ass
ess
m
en
t
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r
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m
m
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ev
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d
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in
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ased
m
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s
u
r
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er
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ativ
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p
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p
r
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ec
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d
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ter
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tly
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ak
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al
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a
r
k
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
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:
2
2
5
2
-
8
9
3
8
I
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Fo
r
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p
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ed
r
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will
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t
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a
h
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ll
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P
(
Fig
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r
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en
t
an
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m
p
etitiv
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ess
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f
co
m
p
an
ies
[
4
6
]
.
Dif
f
er
e
n
t
ty
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es
o
f
m
u
lti‑c
r
iter
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d
ec
is
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m
ak
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m
eth
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s
ar
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tili
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d
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g
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y
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e
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e
n
ce
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y
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ilar
ity
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(
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OPSIS)
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lti
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cr
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o
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tim
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n
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d
co
m
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m
is
e
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mska
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ko
mp
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o
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(
VI
KOR))
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atio
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izatio
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E
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elim
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(
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R
E
)
,
alo
n
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with
th
eir
v
ar
ian
ts
[
4
7
]
.
Fo
r
o
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r
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e,
we
will
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e
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o
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air
e
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n
d
th
e
AHP
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eth
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ev
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y
[
4
8
]
.
I
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is
u
s
ed
to
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th
e
cr
iter
ia,
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eir
we
ig
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d
to
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ate
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e
alter
n
ativ
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[
4
4
]
.
T
h
is
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eth
o
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ased
o
n
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ix
s
tep
s
,
as sh
o
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Fig
u
r
e
4
.
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u
r
e
4
.
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eth
o
d
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s
3
.
2
.
1
.
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iera
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def
ini
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io
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T
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ain
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is
,
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elec
t
th
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tio
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iter
ia,
an
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id
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tify
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e
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.
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o
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tify
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o
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h
e
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s
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ies
s
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ied
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ev
er
al
cr
iter
ia
f
o
r
c
h
o
o
s
in
g
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im
u
latio
n
s
o
f
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T
h
e
v
ar
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s
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h
s
tu
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ies
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p
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if
ied
s
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er
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cr
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er
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f
o
r
ch
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o
s
in
g
s
im
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n
s
o
f
twar
e.
Fo
r
B
an
k
s
[
4
9
]
,
p
r
ec
is
io
n
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d
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etail,
p
o
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f
u
l
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p
ab
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o
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atio
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th
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p
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,
o
p
in
io
n
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f
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o
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co
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p
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ies
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s
im
ilar
ap
p
licatio
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d
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a
r
ticip
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in
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o
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ee
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ical
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er
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in
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o
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s
tat
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tical
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ea
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ex
p
er
im
en
tatio
n
m
ea
n
s
,
s
o
f
twar
e
co
m
p
atib
ilit
y
,
an
d
co
d
in
g
asp
ec
ts
,
h
av
e
b
ee
n
ad
d
ed
[
5
0
]
.
T
r
ic
o
t
et
a
l.
[
5
1
]
p
r
esen
ted
u
tili
ty
,
u
s
ab
i
lity
,
an
d
ac
ce
p
tab
ilit
y
as
cr
it
er
ia
f
o
r
ev
alu
atin
g
s
im
u
latio
n
s
o
f
twar
e.
B
y
class
if
y
in
g
th
em
in
to
s
ev
en
ca
teg
o
r
ies,
V
u
k
s
ic
et
a
l.
[
5
2
]
was
ab
le
to
p
r
o
p
o
s
e
f
u
r
t
h
er
cr
iter
ia:
m
o
d
el
d
e
v
elo
p
m
e
n
t,
s
im
u
latio
n
,
an
im
atio
n
,
in
teg
r
atio
n
wi
th
o
th
er
t
o
o
ls
,
an
aly
s
is
o
f
r
e
s
u
lts
,
o
p
tim
izatio
n
,
test
in
g
,
an
d
ef
f
icien
cy
.
Ho
we
v
er
,
Ver
m
a
et
a
l.
[
5
3
]
p
r
ese
n
ted
a
th
eo
r
etica
l
f
r
am
ewo
r
k
co
n
s
is
tin
g
o
f
f
o
u
r
ca
teg
o
r
ies o
f
cr
iter
ia
f
o
r
e
v
alu
atin
g
s
im
u
latio
n
s
o
f
twar
e.
T
h
e
m
ain
ca
teg
o
r
ies ar
e:
i)
Har
d
war
e
an
d
s
o
f
twar
e
co
n
s
id
er
atio
n
s
: c
o
d
in
g
asp
ec
ts
,
s
o
f
twar
e
co
m
p
atib
ilit
y
,
a
n
d
u
s
er
s
u
p
p
o
r
t;
ii)
Mo
d
ellin
g
ca
p
a
b
ilit
ies:
g
en
er
al
f
ea
tu
r
es,
m
o
d
ellin
g
ass
is
tan
ce
;
iii)
Simu
latio
n
ca
p
ab
ilit
ies:
v
is
u
al
asp
ec
ts
,
ef
f
icien
cy
,
test
ab
ilit
y
,
ex
p
e
r
im
en
tatio
n
f
ac
ilit
ies
,
an
d
s
tatis
tical
f
ac
ilit
ies;
iv
)
I
n
p
u
t
/o
u
tp
u
t iss
u
es: in
p
u
t a
n
d
o
u
tp
u
t c
a
p
ab
ilit
ies,
an
aly
s
is
ca
p
ab
ilit
ies.
Fin
ally
,
C
af
ass
o
et
a
l.
[
5
4
]
b
a
s
ed
o
n
p
r
e
v
io
u
s
r
esear
ch
,
h
as
b
ee
n
a
b
le
to
d
e
v
elo
p
an
o
th
er
th
eo
r
etica
l
f
r
am
ewo
r
k
th
at
will
en
ab
le
c
o
m
p
an
ies
to
ch
o
o
s
e
th
e
m
o
s
t
ap
p
r
o
p
r
iate
m
an
u
f
ac
tu
r
in
g
s
im
u
latio
n
s
o
f
twar
e.
T
h
is
f
r
am
ewo
r
k
is
b
ased
o
n
two
d
is
tin
ct
m
u
lti
-
cr
iter
ia
ap
p
r
o
ac
h
es:
th
e
AHP
co
m
b
in
ed
with
b
en
ef
it
-
o
p
p
o
r
tu
n
ity
-
c
o
s
t
-
r
is
k
(
B
OC
R
)
an
aly
s
is
,
an
d
t
h
e
b
est
-
wo
r
s
t
-
m
eth
o
d
(
B
W
M)
.
C
af
ass
o
et
a
l.
[
5
4
]
h
as
also
ad
d
ed
o
th
er
c
r
iter
ia
to
t
h
e
ex
i
s
tin
g
o
n
es,
s
u
ch
as
d
ata
s
ec
u
r
ity
,
s
u
p
p
o
r
ted
lan
g
u
ag
es,
a
v
ai
lab
ilit
y
o
f
tu
to
r
ials
,
u
p
d
ates,
s
u
p
p
lier
r
e
p
u
tatio
n
,
an
d
lo
n
g
ev
ity
.
T
h
e
s
elec
tio
n
cr
iter
ia
in
o
u
r
s
itu
atio
n
will
b
e
g
r
o
u
p
ed
in
to
f
o
u
r
f
am
ilies
:
i)
u
s
er
cr
iter
ia
an
d
co
m
p
an
y
r
ep
u
tatio
n
(
C
1
)
,
ii)
cr
iter
ia
f
o
r
m
o
d
elin
g
an
d
s
im
u
latio
n
ca
p
ab
ilit
ies
(
C
2
)
,
iii)
cr
iter
ia
f
o
r
in
p
u
t/o
u
t
p
u
t
is
s
u
es
(
C
3
)
,
an
d
iv
)
h
ar
d
w
ar
e
an
d
s
o
f
twar
e
c
r
iter
ia
(
C
4
)
.
Fo
r
ea
ch
g
r
o
u
p
o
f
cr
iter
ia,
th
er
e
ar
e
s
ev
e
r
al
s
u
b
-
cr
iter
ia,
as
s
h
o
wn
in
T
ab
le
2
.
Af
ter
s
elec
tin
g
th
e
cr
iter
ia,
t
h
e
n
ex
t
q
u
esti
o
n
to
ask
is
: w
h
ich
o
f
th
o
s
e
f
ac
to
r
s
h
as th
e
m
o
s
t im
p
o
r
ta
n
ce
in
s
el
ec
tin
g
C
AD
s
o
f
twar
e?
3
.
2
.
2
.
P
a
irwise c
o
m
pa
riso
ns
T
h
is
is
an
es
s
en
tial
s
tep
in
t
h
e
AHP
m
eth
o
d
,
as
it
estab
l
is
h
es
th
e
f
o
u
n
d
atio
n
al
f
r
a
m
e
wo
r
k
u
p
o
n
wh
ich
all
s
u
b
s
eq
u
en
t
p
r
io
r
it
y
ca
lcu
latio
n
s
an
d
d
ec
is
io
n
-
m
ak
in
g
o
u
tco
m
es
ar
e
b
u
ilt.
Du
r
in
g
th
is
s
tep
,
p
ar
ticip
an
ts
m
u
s
t
f
ir
s
t
p
r
io
r
itize
th
eir
m
ain
cr
iter
ia
b
y
ev
al
u
atin
g
th
em
in
p
air
s
ac
co
r
d
in
g
to
th
eir
r
elativ
e
im
p
o
r
tan
ce
,
u
s
in
g
a
s
tr
u
ctu
r
ed
s
ca
le
th
at
q
u
an
tifie
s
th
e
d
eg
r
ee
to
wh
ich
o
n
e
cr
iter
i
o
n
is
f
a
v
o
r
ed
o
v
e
r
an
o
th
er
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
Hyb
r
id
r
ec
o
mme
n
d
er fo
r
co
mp
u
ter a
id
ed
d
esig
n
s
o
ftw
a
r
e
(
Yo
u
n
es Zid
a
n
i)
1937
b
ased
o
n
ex
p
e
r
t
ju
d
g
m
en
t
an
d
d
o
m
ain
k
n
o
wled
g
e.
T
h
is
p
r
o
c
ess
o
f
s
y
s
tem
atic
p
air
wi
s
e
ev
alu
atio
n
g
en
er
ates
a
co
m
p
ar
is
o
n
m
atr
i
x
th
at
ca
p
t
u
r
es
all
p
o
s
s
ib
le
in
ter
-
cr
iter
ia
r
elatio
n
s
h
ip
s
,
en
s
u
r
in
g
th
a
t
th
e
f
in
al
weig
h
t
ass
ig
n
m
en
ts
ar
e
d
e
r
iv
ed
n
o
t
f
r
o
m
ar
b
itra
r
y
r
an
k
in
g
s
b
u
t
f
r
o
m
c
o
n
s
is
ten
t,
m
ath
em
atica
lly
g
r
o
u
n
d
e
d
ass
es
s
m
en
ts
th
at
r
ef
lect
th
e
co
llectiv
e
r
ea
s
o
n
in
g
o
f
th
e
d
ec
is
io
n
-
m
ak
e
r
s
in
v
o
lv
e
d
.
T
ab
le
2
.
C
r
iter
ia
an
d
s
u
b
-
cr
ite
r
ia
C
r
i
t
e
r
i
a
S
u
b
-
c
r
i
t
e
r
i
a
ID
U
ser c
r
i
t
e
r
i
a
a
n
d
c
o
m
p
a
n
y
r
e
p
u
t
a
t
i
o
n
(
C
1
)
Ea
se
o
f
u
se
C
11
C
r
i
t
e
r
i
a
f
o
r
m
o
d
e
l
i
n
g
a
n
d
si
mu
l
a
t
i
o
n
c
a
p
a
b
i
l
i
t
i
e
s
(
C
2
)
M
o
d
e
l
i
n
g
e
f
f
i
c
i
e
n
c
y
(
c
a
p
a
c
i
t
y
a
n
d
q
u
a
l
i
t
y
)
C
21
V
i
su
a
l
a
sp
e
c
t
s (
g
r
a
p
h
i
c
d
i
s
p
l
a
y
a
n
d
a
n
i
m
a
t
i
o
n
)
C
22
C
r
i
t
e
r
i
a
f
o
r
i
n
p
u
t
/
o
u
t
p
u
t
i
ss
u
e
s
(
C
3
)
C
o
d
i
n
g
a
s
p
e
c
t
s
(
p
r
o
g
r
a
mm
i
n
g
,
a
c
c
e
ss
t
o
s
o
u
r
c
e
c
o
d
e
)
C
31
Ef
f
e
c
t
i
v
e
n
e
ss
o
f
d
a
t
a
a
n
d
r
e
su
l
t
s
a
n
a
l
y
si
s
C
32
H
a
r
d
w
a
r
e
a
n
d
so
f
t
w
a
r
e
c
r
i
t
e
r
i
a
(
C
4
)
C
o
s
t
C
41
S
o
f
t
w
a
r
e
sp
e
e
d
C
42
F
i
e
l
d
o
f
u
se
C
43
S
y
st
e
m re
q
u
i
r
e
m
e
n
t
s
C
44
3
.
2
.
3
.
T
he
im
po
rt
a
nce
o
f
e
a
c
h c
rit
er
io
n a
cc
o
rding
t
o
t
he
pa
rt
icipa
nts w
ho
co
m
plet
ed
t
he
qu
estio
nn
a
ire
T
o
s
elec
t
th
e
m
o
s
t
ap
p
r
o
p
r
iate
cr
iter
ia
f
o
r
ch
o
o
s
in
g
C
AD
s
o
f
twar
e,
a
q
u
esti
o
n
n
ai
r
e
was
s
h
ar
ed
with
9
7
p
e
o
p
le
wh
o
wo
r
k
in
th
e
C
AD
f
ield
o
r
i
n
an
o
th
er
C
AD
-
r
elate
d
f
ield
.
B
ased
o
n
th
e
q
u
e
s
tio
n
n
air
e,
we
f
o
u
n
d
th
at
7
2
p
e
o
p
le
h
av
e
ex
p
er
ien
c
e
o
f
3
y
ea
r
s
o
r
m
o
r
e
.
W
e
ask
ed
th
is
g
r
o
u
p
o
f
ex
p
er
ts
to
g
i
v
e
a
s
co
r
e
b
etwe
en
1
an
d
9
u
s
in
g
th
e
f
o
llo
win
g
s
ca
le
s
h
o
wn
in
th
e
T
ab
le
3
[
5
5
]
ac
co
r
d
in
g
to
th
e
im
p
o
r
tan
ce
o
f
th
e
cr
iter
ia
b
ased
o
n
th
ei
r
e
x
p
er
ien
ce
.
T
h
ese
n
o
t
es
en
ab
led
u
s
to
ca
lcu
late
th
e
co
n
co
r
d
an
ce
co
ef
f
icien
t
W
,
d
escr
ib
ed
b
y
[
5
6
]
t
o
d
eter
m
in
e
th
e
d
eg
r
ee
o
f
a
g
r
ee
m
en
t b
etwe
en
th
e
e
x
p
er
ts
'
esti
m
ates.
T
ab
le
3
.
Scale
f
o
r
p
air
wis
e
co
m
p
ar
is
o
n
s
S
c
a
l
e
D
e
scri
p
t
i
o
n
1
Eq
u
a
l
i
m
p
o
r
t
a
n
c
e
3
M
o
d
e
r
a
t
e
i
m
p
o
r
t
a
n
c
e
5
Essen
t
i
a
l
i
m
p
o
r
t
a
n
c
e
7
V
e
r
y
s
t
r
o
n
g
i
m
p
o
r
t
a
n
c
e
9
Ex
t
r
e
me
i
m
p
o
r
t
a
n
c
e
2,
4,
6,
a
n
d
8
I
n
t
e
r
med
i
a
t
e
v
a
l
u
e
s
T
h
e
co
n
c
o
r
d
a
n
ce
co
ef
f
icien
t,
,
is
ca
lcu
lated
u
s
in
g
(
1
)
.
=
12
×
²
×
(
²
−
1
)
(
1
)
Her
e
is
th
e
n
u
m
b
er
o
f
ex
p
er
ts
,
is
th
e
n
u
m
b
er
o
f
attr
i
b
u
tes,
an
d
is
th
e
d
ev
iatio
n
o
f
th
e
s
u
m
o
f
th
e
cr
iter
ia
r
an
k
s
f
r
o
m
th
e
o
v
er
all
m
ea
n
o
f
th
e
r
a
n
k
s
,
th
e
s
u
m
o
f
s
q
u
ar
es.
is
ass
o
ciate
d
with
th
e
s
u
m
r
an
k
in
g
s
o
f
s
p
ec
if
ic
cr
iter
ia
o
b
tain
ed
f
r
o
m
all
ex
p
er
ts
,
as sh
o
wn
in
(
2
)
.
=
∑
(
=
1
,
.
.
.
,
)
=
1
(
2
)
W
e
also
h
av
e
to
ca
lcu
late
th
e
g
en
er
al
m
ea
n
b
y
(
3
)
.
=
∑
=
1
(
3
)
I
n
o
u
r
ca
s
e,
=
6441
16
=
408
.
I
n
ad
d
itio
n
,
f
o
r
,
it is
ca
lcu
lated
b
y
(
4
)
.
=
∑
(
−
)
²
=
1
(
4
)
T
h
en
th
e
co
n
co
r
d
an
ce
co
e
f
f
ic
ien
t
=
0
.
81
.
W
e
ca
n
co
n
f
ir
m
th
at
in
o
u
r
ca
s
e,
we
h
av
e
a
s
tr
o
n
g
ag
r
ee
m
en
t
b
etwe
en
th
e
ex
p
er
ts
.
T
h
e
s
tr
en
g
th
o
f
t
h
e
co
n
c
o
r
d
a
n
ce
ca
n
b
e
r
ea
d
in
T
a
b
le
4
.
Af
ter
ca
lcu
latin
g
th
e
co
n
c
o
r
d
an
ce
co
ef
f
icien
t,
o
u
r
n
ex
t
s
tep
is
to
d
eter
m
in
e
th
e
weig
h
t
o
f
ea
ch
s
u
b
-
cr
iter
io
n
lis
ted
in
T
ab
le
2
.
T
h
is
will
h
elp
u
s
to
d
eter
m
i
n
e
wh
at
th
e
m
o
s
t
s
ig
n
if
ican
t
o
n
es
ar
e.
I
n
o
r
d
er
to
d
o
th
is
,
it
is
n
ec
ess
ar
y
to
ca
lc
u
late
th
e
m
ea
n
s
co
r
e
f
o
r
ea
ch
s
u
b
-
cr
iter
io
n
u
s
in
g
(
5
)
.
T
ab
le
5
s
h
o
ws
th
e
r
atin
g
s
co
r
e
f
o
r
ea
c
h
s
u
b
-
c
r
iter
ia.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
1
5
,
No
.
2
,
Ap
r
il 2
0
2
6
:
1
9
3
1
-
1
9
4
6
1938
=
ℎ
′
−
(
5
)
T
ab
le
4
.
Stre
n
g
th
o
f
th
e
co
r
r
el
atio
n
V
a
r
i
a
t
i
o
n
o
f
W
I
n
t
e
r
p
r
e
t
a
t
i
o
n
0
N
o
a
g
r
e
e
me
n
t
0
.
1
W
e
a
k
a
g
r
e
e
me
n
t
0
.
3
M
o
d
e
r
a
t
e
a
g
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e
e
me
n
t
0
.
6
S
t
r
o
n
g
a
g
r
e
e
m
e
n
t
1
P
e
r
f
e
c
t
a
g
r
e
e
m
e
n
t
T
ab
le
5
.
R
atin
g
s
co
r
e
f
o
r
ea
c
h
s
u
b
-
c
r
iter
ia
C
r
i
t
e
r
i
a
S
u
b
-
c
r
i
t
e
r
i
a
ID
R
a
t
i
n
g
U
ser c
r
i
t
e
r
i
a
a
n
d
c
o
m
p
a
n
y
r
e
p
u
t
a
t
i
o
n
(
C
1
)
Ea
se
o
f
u
se
C
11
9
C
r
i
t
e
r
i
a
f
o
r
m
o
d
e
l
i
n
g
a
n
d
si
mu
l
a
t
i
o
n
c
a
p
a
b
i
l
i
t
i
e
s
(
C
2
)
M
o
d
e
l
i
n
g
e
f
f
i
c
i
e
n
c
y
(
c
a
p
a
c
i
t
y
a
n
d
q
u
a
l
i
t
y
)
C
21
5
V
i
su
a
l
a
sp
e
c
t
s (
g
r
a
p
h
i
c
d
i
s
p
l
a
y
a
n
d
a
n
i
m
a
t
i
o
n
)
C
22
6
C
r
i
t
e
r
i
a
f
o
r
i
n
p
u
t
/
o
u
t
p
u
t
i
ss
u
e
s
(
C
3
)
C
o
d
i
n
g
a
s
p
e
c
t
s
(
p
r
o
g
r
a
mm
i
n
g
,
a
c
c
e
ss
t
o
s
o
u
r
c
e
c
o
d
e
)
C
31
3
Ef
f
e
c
t
i
v
e
n
e
ss
o
f
d
a
t
a
a
n
d
r
e
su
l
t
s
a
n
a
l
y
si
s
C
32
4
H
a
r
d
w
a
r
e
a
n
d
so
f
t
w
a
r
e
c
r
i
t
e
r
i
a
(
C
4
)
C
o
s
t
C
41
8
S
o
f
t
w
a
r
e
sp
e
e
d
C
42
1
F
i
e
l
d
o
f
u
se
C
43
2
S
y
st
e
m re
q
u
i
r
e
m
e
n
t
s
C
44
7
3
.
2
.
4
.
P
a
irwise c
o
m
pa
riso
n
m
a
t
rix
a
nd
re
la
t
iv
e
weig
ht
c
a
lcula
t
io
n
T
ab
le
6
p
r
esen
ts
th
e
r
elativ
e
im
p
o
r
tan
ce
o
f
th
e
n
in
e
s
u
b
-
cr
iter
ia
th
r
o
u
g
h
p
air
wis
e
co
m
p
ar
is
o
n
s
,
p
r
o
v
id
i
n
g
a
s
y
s
tem
atic
ev
alu
a
tio
n
o
f
h
o
w
ea
ch
c
r
iter
io
n
weig
h
s
ag
ain
s
t
th
e
o
th
er
s
in
d
ete
r
m
in
in
g
its
o
v
er
all
s
ig
n
if
ican
ce
with
in
th
e
d
ec
is
io
n
-
m
ak
i
n
g
f
r
am
ewo
r
k
.
T
h
e
c
o
m
p
ar
is
o
n
m
atr
ix
r
ev
ea
ls
th
a
t
s
u
b
-
cr
iter
io
n
C
11
h
o
ld
s
th
e
h
ig
h
est
r
elativ
e
wei
g
h
t
at
0
.
2
5
4
4
,
f
o
llo
wed
b
y
C
41
at
0
.
2
0
6
3
an
d
C
₄₄
at
0
.
1
6
1
6
,
i
n
d
icatin
g
th
at
th
ese
th
r
ee
f
ac
to
r
s
ex
e
r
t
th
e
g
r
ea
test
in
f
lu
en
ce
o
n
th
e
o
v
er
all
e
v
alu
atio
n
p
r
o
ce
s
s
co
m
p
ar
ed
t
o
th
e
r
em
ain
in
g
c
r
iter
ia.
I
n
co
n
tr
ast,
s
u
b
-
c
r
iter
ia
s
u
ch
as
C
42
an
d
C
43
ca
r
r
y
n
o
tab
ly
l
o
wer
weig
h
ts
o
f
0
.
0
2
5
5
an
d
0
.
0
3
1
5
r
esp
ec
tiv
ely
,
s
u
g
g
esti
n
g
th
at
wh
ile
th
e
y
c
o
n
tr
ib
u
te
to
th
e
ass
ess
m
en
t,
th
eir
im
p
ac
t
o
n
th
e
f
in
al
r
ec
o
m
m
e
n
d
atio
n
o
u
tco
m
e
is
co
n
s
id
er
ab
ly
less
p
r
o
n
o
u
n
ce
d
th
an
th
at
o
f
th
e
d
o
m
in
an
t c
r
iter
ia.
T
ab
le
6
.
Pair
wis
e
co
m
p
ar
is
o
n
m
atr
ix
w
ith
ca
lcu
latio
n
o
f
r
elativ
e
weig
h
t o
f
th
e
c
r
iter
ia
S
u
b
-
c
r
i
t
e
r
i
a
C
11
C
21
C
22
C
31
C
32
C
41
C
42
C
43
C
44
A
v
e
r
a
g
e
r
a
t
i
n
g
W
e
i
g
h
t
C
11
1
4
3
6
5
1
8
7
2
4
.
1
1
1
0
.
2
5
4
4
C
21
0
.
2
5
1
1
2
1
0
.
3
3
4
3
0
.
5
1
.
4
5
3
0
.
0
8
9
9
C
22
0
.
3
3
1
1
3
2
0
.
5
5
4
1
1
.
9
8
1
0
.
1
2
2
6
C
31
0
.
1
6
0
.
5
0
.
3
3
1
1
0
.
2
2
1
0
.
2
5
0
.
7
1
6
0
.
0
4
4
3
C
32
0
.
2
1
0
.
5
1
1
0
.
2
5
3
2
0
.
3
3
1
.
0
3
1
0
.
0
6
3
8
C
41
1
3
2
5
4
1
7
6
1
3
.
3
3
3
0
.
2
0
6
3
C
42
0
.
1
2
5
0
.
2
5
0
.
2
0
.
5
0
.
3
3
0
.
1
4
2
1
1
0
.
1
6
6
0
.
4
1
3
0
.
0
2
5
5
C
43
0
.
1
4
2
0
.
3
3
0
.
2
5
1
0
.
5
0
.
1
6
6
1
1
0
.
2
0
.
5
1
0
.
0
3
1
5
C
44
0
.
5
2
1
4
3
1
6
5
1
2
.
6
1
1
0
.
1
6
1
6
3
.
2
.
5
.
Ag
g
re
g
a
t
io
n a
nd
a
na
ly
s
is
o
f
re
s
ults
T
ab
le
7
r
ep
r
esen
ts
th
e
weig
h
t
o
f
th
e
n
in
e
s
u
b
-
cr
iter
ia
u
s
ed
i
n
th
e
s
elec
tio
n
o
f
co
m
p
u
ter
ai
d
ed
d
esig
n
(
C
AD)
s
o
f
twar
e.
T
h
e
weig
h
t
is
u
s
ed
to
r
an
k
ea
ch
s
u
b
-
cr
ite
r
ia.
W
ith
a
p
lace
m
en
t
o
f
2
5
.
4
4
%,
th
e
cr
iter
io
n
o
f
ea
s
e
o
f
u
s
e
(
C
11
)
s
ig
n
if
ies
its
g
r
ea
test
im
p
o
r
tan
ce
.
T
h
is
in
d
icate
s
th
at
th
e
in
ten
d
ed
au
d
i
en
ce
p
lace
s
a
h
ig
h
v
alu
e
o
n
s
o
f
twar
e
th
at
is
ea
s
y
to
u
s
e.
T
h
e
ca
teg
o
r
ies
o
f
C
o
s
t
(
C
41
)
an
d
s
y
s
tem
n
ee
d
s
(
C
44
)
h
av
e
c
o
n
s
id
er
ab
le
im
p
o
r
tan
ce
,
ac
c
o
u
n
tin
g
f
o
r
2
0
.
6
3
%
an
d
1
6
.
1
6
%
o
f
th
e
to
t
al
weig
h
tag
e,
r
esp
ec
tiv
ely
.
T
h
is
em
p
h
asizes
th
e
s
ig
n
if
ican
ce
o
f
tak
in
g
in
to
ac
c
o
u
n
t
th
e
s
o
f
twar
e'
s
ca
p
ab
ilit
ies
in
a
ce
r
tain
s
ec
to
r
o
f
u
s
ag
e
wh
ile
also
en
s
u
r
in
g
th
at
it
o
p
er
ates
ef
f
icien
tly
o
n
th
e
av
ailab
le
h
ar
d
war
e,
as
s
p
ec
if
ied
b
y
th
e
s
y
s
tem
r
eq
u
ir
em
en
ts
.
T
h
e
v
is
u
al
asp
ec
ts
(
C
22
)
an
d
m
o
d
elin
g
e
f
f
icien
cy
(
C
21
)
h
av
e
a
m
o
d
e
r
ate
lev
el
o
f
im
p
o
r
ta
n
ce
,
ac
c
o
u
n
t
in
g
f
o
r
1
2
.
2
6
%
a
n
d
8
.
9
9
%,
r
esp
ec
tiv
ely
.
T
h
is
m
e
an
s
th
at
wh
ile
v
is
u
al
r
ep
r
esen
tatio
n
an
d
m
o
d
elin
g
s
k
ills
ar
e
r
eq
u
ir
e
d
,
th
ey
ar
e
n
o
t
th
e
h
ig
h
est
r
eq
u
ir
em
e
n
ts
.
T
h
e
r
elativ
e
weig
h
ts
f
o
r
th
e
d
ata
an
d
r
esu
lts
an
aly
s
is
(
C
32
)
an
d
co
d
in
g
asp
ec
ts
(C
31
)
ar
e
r
ath
er
l
o
w,
at
6
.
3
8
%
an
d
4
.
4
3
%,
r
esp
ec
tiv
ely
.
C
o
n
s
eq
u
en
tly
,
th
e
im
p
o
r
ta
n
ce
o
f
d
ata
a
n
aly
s
is
an
d
co
d
in
g
c
h
ar
ac
ter
is
tics
is
d
im
in
is
h
ed
in
th
is
s
p
ec
if
ic
s
elec
tio
n
p
r
o
ce
d
u
r
e.
T
h
e
weig
h
ts
ass
ig
n
ed
to
t
h
e
f
ield
o
f
u
s
e
(
C
43
)
an
d
s
o
f
twar
e
s
p
ee
d
(
C
42
)
ar
e
th
e
lo
west,
with
v
al
u
es
o
f
3
.
1
5
%
an
d
2
.
5
5
%,
r
es
p
ec
tiv
ely
.
C
o
s
t
an
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
Hyb
r
id
r
ec
o
mme
n
d
er fo
r
co
mp
u
ter a
id
ed
d
esig
n
s
o
ftw
a
r
e
(
Yo
u
n
es Zid
a
n
i)
1939
s
p
ee
d
s
h
o
u
ld
b
e
tak
e
n
in
to
a
cc
o
u
n
t,
b
u
t
th
ey
ar
e
n
o
t
th
e
m
ain
d
eter
m
in
in
g
v
ar
iab
les.
I
n
o
u
r
ca
s
e,
we
will
ch
o
o
s
e
th
e
to
p
f
o
u
r
cr
iter
ia
f
o
r
s
elec
tin
g
C
AD
s
o
f
twar
e,
wh
i
ch
ar
e
ea
s
e
o
f
u
s
e,
v
is
u
al
asp
e
cts (
g
r
ap
h
ic
d
is
p
lay
an
d
an
im
atio
n
)
,
co
s
t,
a
n
d
s
y
s
tem
r
eq
u
ir
e
m
en
ts
.
T
ab
le
7
.
R
an
k
in
g
cr
iter
ia
b
y
w
eig
h
t
S
u
b
-
c
r
i
t
e
r
i
a
W
e
i
g
h
t
P
e
r
c
e
n
t
a
g
e
R
a
n
k
Ea
se
o
f
u
se
C
11
0
.
2
5
4
4
25
.
44
1
C
o
s
t
C
41
0
.
2
0
6
3
2
0
.
6
2
8
3
2
S
y
st
e
m re
q
u
i
r
e
m
e
n
t
s
C
44
0
.
1
6
1
6
1
6
.
1
5
8
8
3
V
i
su
a
l
a
sp
e
c
t
s (
g
r
a
p
h
i
c
d
i
s
p
l
a
y
a
n
d
a
n
i
m
a
t
i
o
n
)
C
22
0
,
1
2
2
6
1
2
.
2
6
0
1
4
M
o
d
e
l
i
n
g
e
f
f
i
c
i
e
n
c
y
(
c
a
p
a
c
i
t
y
a
n
d
q
u
a
l
i
t
y
)
C
21
0
.
0
8
9
9
8
.
9
9
3
9
5
Ef
f
e
c
t
i
v
e
n
e
ss
o
f
d
a
t
a
a
n
d
r
e
su
l
t
s
a
n
a
l
y
si
s
C
32
0
.
0
6
3
8
6
.
3
8
1
0
6
C
o
d
i
n
g
a
s
p
e
c
t
s
(
p
r
o
g
r
a
mm
i
n
g
,
a
c
c
e
ss
t
o
s
o
u
r
c
e
c
o
d
e
)
C
31
0
.
0
4
4
3
4
.
4
2
8
2
7
F
i
e
l
d
o
f
u
se
C
43
0
.
0
3
1
5
3
,
1
5
4
7
8
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o
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e
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C
42
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.
5
5
3
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.
4
.
L
is
t
o
f
s
o
f
t
wa
re
us
ed
in t
his
ex
perim
ent
Ou
r
m
o
d
el
will
u
s
e
f
iv
e
m
ec
h
an
ical
en
g
in
ee
r
i
n
g
an
d
d
esig
n
s
o
f
twar
e
p
ac
k
ag
es.
T
h
e
s
o
f
twar
e
s
elec
ted
ar
e
C
atia,
So
lid
W
o
r
k
s
,
So
lid
E
d
g
e,
Au
to
C
ad
,
an
d
T
o
p
So
lid
.
T
h
e
ch
o
ice
o
f
th
ese
s
o
f
twar
e
p
ac
k
ag
es
is
b
ased
o
n
th
eir
r
ep
u
tatio
n
,
th
eir
ad
v
an
ce
d
f
e
atu
r
es,
an
d
t
h
eir
r
elev
an
ce
to
d
if
f
er
en
t
ar
ea
s
o
f
en
g
in
ee
r
in
g
an
d
C
AD
.
3
.
5
.
Descript
io
n o
f
t
he
pro
p
o
s
ed
pro
g
ra
m
On
ce
th
e
m
o
s
t
im
p
o
r
tan
t
cr
ite
r
ia
h
av
e
b
ee
n
d
eter
m
in
ed
,
ea
c
h
cr
iter
io
n
is
ass
ig
n
ed
an
ev
al
u
atio
n
as
s
h
o
wn
in
T
ab
le
8
.
T
h
e
p
r
o
g
r
a
m
,
wh
ich
is
wr
itten
in
th
e
Py
th
o
n
p
r
o
g
r
a
m
m
in
g
lan
g
u
ag
e
,
s
tar
ts
b
y
ask
in
g
th
e
u
s
er
to
ch
o
o
s
e
a
m
eth
o
d
f
o
r
s
o
f
twar
e
r
ec
o
m
m
e
n
d
atio
n
.
T
h
e
u
s
er
h
as
to
g
iv
e
b
o
th
cr
iter
ia
v
alu
es
in
th
e
f
ir
s
t
m
eth
o
d
o
r
an
o
v
er
all
r
atin
g
in
th
e
s
ec
o
n
d
m
eth
o
d
(
Fig
u
r
e
5
)
.
T
ab
le
8
.
Valu
es a
s
s
o
ciate
d
with
ea
ch
ev
al
u
atio
n
S
u
b
-
c
r
i
t
e
r
i
a
Ev
a
l
u
a
t
i
o
n
V
a
l
u
e
Ea
se
o
f
u
se
V
e
r
y
d
i
f
f
i
c
u
l
t
1
D
i
f
f
i
c
u
l
t
2
M
e
d
i
u
m
3
Ea
sy
4
V
e
r
y
e
a
s
y
5
V
i
su
a
l
a
sp
e
c
t
s (
g
r
a
p
h
i
c
d
i
s
p
l
a
y
a
n
d
a
n
i
m
a
t
i
o
n
)
V
e
r
y
l
o
w
1
Lo
w
2
M
e
d
i
u
m
3
H
i
g
h
4
V
e
r
y
h
i
g
h
5
C
o
s
t
V
e
r
y
e
x
p
e
n
si
v
e
1
Ex
p
e
n
si
v
e
2
I
n
e
x
p
e
n
s
i
v
e
3
S
y
st
e
m re
q
u
i
r
e
m
e
n
t
s
M
a
x
i
m
u
m
c
o
n
f
i
g
u
r
a
t
i
o
n
1
M
e
d
i
u
m
c
o
n
f
i
g
u
r
a
t
i
o
n
2
M
i
n
i
m
u
m
c
o
n
f
i
g
u
r
a
t
i
o
n
3
Fig
u
r
e
5
.
T
h
e
p
r
o
g
r
a
m
ask
s
th
e
u
s
er
to
ch
o
o
s
e
a
m
eth
o
d
o
f
r
ec
o
m
m
en
d
atio
n
T
h
e
p
r
o
g
r
am
ask
s
th
e
u
s
er
t
o
ch
o
o
s
e
a
m
eth
o
d
o
f
r
ec
o
m
m
en
d
atio
n
.
I
f
th
e
u
s
er
ch
o
o
s
es
th
e
f
ir
s
t
m
eth
o
d
,
th
e
p
r
o
g
r
am
r
eq
u
ests
in
p
u
t
o
n
th
e
f
o
llo
win
g
cr
iter
ia:
ea
s
e
o
f
u
s
e,
v
is
u
al
asp
ec
ts
,
co
s
t,
an
d
s
y
s
tem
r
eq
u
ir
em
e
n
ts
(
Fig
u
r
e
6
)
.
T
h
e
p
r
o
g
r
a
m
th
en
u
s
es
C
B
F
to
r
ec
o
m
m
en
d
s
o
f
twar
e.
T
h
e
r
ec
o
m
m
en
d
ed
s
o
f
twar
e
is
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
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r
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6
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9
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1940
th
en
d
is
p
lay
ed
to
th
e
u
s
er
(
Fi
g
u
r
e
7
)
.
T
h
e
p
r
o
g
r
am
u
s
es
th
e
KNN
m
eth
o
d
to
id
en
tify
s
im
ilar
s
o
f
twar
e
b
ased
o
n
th
e
cr
iter
ia
e
n
ter
ed
.
Fig
u
r
e
6
.
T
h
e
u
s
er
en
te
r
s
th
eir
p
r
ef
er
e
n
ce
s
f
o
r
ea
c
h
cr
iter
io
n
Fig
u
r
e
7
.
T
h
e
p
r
o
g
r
a
m
d
is
p
lay
s
th
e
m
o
s
t su
itab
le
C
AD
s
o
f
tw
ar
e
b
ased
o
n
s
o
f
twar
e
cr
iter
ia
I
f
th
e
u
s
er
ch
o
o
s
es
th
e
s
ec
o
n
d
m
eth
o
d
,
th
e
p
r
o
g
r
am
ask
s
f
o
r
an
o
v
er
all
ev
alu
atio
n
in
th
e
f
o
r
m
o
f
a
u
s
er
r
atin
g
(
Fig
u
r
e
8
)
,
o
f
f
er
in
g
a
s
im
p
lifie
d
y
et
ef
f
ec
tiv
e
alt
er
n
ativ
e
to
th
e
d
etailed
cr
iter
i
a
-
b
ased
ass
ess
m
en
t
ap
p
r
o
ac
h
.
I
n
th
is
m
eth
o
d
,
in
s
tead
o
f
ev
alu
atin
g
in
d
iv
id
u
al
cr
iter
ia
s
u
ch
as
ea
s
e
o
f
u
s
e,
v
is
u
al
asp
ec
ts
,
co
s
t,
an
d
s
y
s
tem
r
eq
u
ir
e
m
en
ts
s
ep
ar
ately
,
th
e
u
s
er
is
ask
ed
to
p
r
o
v
id
e
a
s
in
g
le
h
o
lis
tic
r
atin
g
o
n
a
s
ca
le
f
r
o
m
1
t
o
5
,
wh
ich
ca
p
tu
r
es
th
eir
g
en
e
r
al
p
er
ce
p
tio
n
o
f
t
h
e
s
o
f
twar
e'
s
o
v
er
all
q
u
ality
a
n
d
s
u
itab
ilit
y
i
n
o
n
e
co
n
s
o
lid
ated
s
co
r
e.
T
h
is
r
atin
g
is
th
en
m
ap
p
ed
ag
ain
s
t
th
e
class
if
icatio
n
s
ca
le
p
r
esen
ted
in
T
ab
le
9
,
wh
ich
o
r
g
an
izes
s
o
f
twar
e
in
to
f
i
v
e
d
is
tin
ct
le
v
els
r
an
g
in
g
f
r
o
m
t
h
e
m
o
s
t
b
asic
to
th
e
m
o
s
t
ad
v
an
ce
d
,
th
er
eb
y
e
n
ab
lin
g
th
e
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
to
c
ateg
o
r
ize
an
d
r
a
n
k
s
o
f
twar
e
o
p
tio
n
s
b
ased
o
n
t
h
e
u
s
er
'
s
ex
p
r
ess
ed
lev
el
o
f
s
atis
f
ac
tio
n
o
r
ex
p
ec
tatio
n
.
Fig
u
r
e
8
.
T
h
e
p
r
o
g
r
a
m
ask
s
th
e
u
s
er
to
en
ter
a
r
atin
g
T
ab
le
9
.
R
atin
g
s
ca
le
f
o
r
ev
alu
atin
g
th
e
s
o
f
twar
e
S
c
a
l
e
D
e
scri
p
t
i
o
n
1
V
e
r
y
b
a
s
i
c
o
r
l
i
m
i
t
e
d
so
f
t
w
a
r
e
2
B
a
si
c
o
r
s
i
mp
l
e
so
f
t
w
a
r
e
3
I
n
t
e
r
med
i
a
t
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r
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a
n
d
a
r
d
4
A
d
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n
c
e
d
o
r
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o
w
e
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f
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l
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w
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r
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5
V
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a
d
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r
e
m
e
l
y
p
o
w
e
r
f
u
l
so
f
t
w
a
r
e
Evaluation Warning : The document was created with Spire.PDF for Python.