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ics a
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m
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(
I
J
-
I
CT
)
Vo
l.
15
,
No
.
3
,
Sep
tem
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er
20
26
,
p
p
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1
4
1
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~
1
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v15
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1419
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M
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CO
P
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and S
M
ART: a cas
e s
t
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in
Palem
ba
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E
v
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Acc
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In
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COPRAS
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S
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K
ey
w
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d
s
:
C
OP
R
AS
E
m
er
g
en
c
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un
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Ho
s
p
ital
Op
tim
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SMART
T
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s
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CC B
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C
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p
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A
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r
:
Fit
r
i M
ay
a
Pu
s
p
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Dep
ar
tm
en
t o
f
Ma
th
em
atics,
Facu
lty
o
f
Ma
th
e
m
atics a
n
d
Na
tu
r
al
Scien
ce
s
,
Sriwijay
a
Un
iv
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s
ity
I
n
d
r
alay
a
,
3
0
6
6
2
,
I
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d
o
n
esia
E
m
ail:
f
itrim
ay
ap
u
s
p
ita@
u
n
s
r
i.a
c.
id
1.
I
NT
RO
D
UCT
I
O
N
As
th
e
s
tan
d
ar
d
o
f
liv
in
g
in
c
r
e
ases
an
d
th
e
d
iet
b
ec
o
m
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m
o
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e
in
s
tan
t,
th
e
d
em
a
n
d
f
o
r
q
u
a
lity
h
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lth
in
cr
ea
s
es.
T
h
e
d
ev
elo
p
m
e
n
t
o
f
h
o
s
p
itals
in
I
n
d
o
n
esia
is
g
r
o
win
g
r
ap
id
ly
f
r
o
m
tim
e
to
tim
e.
Ho
s
p
itals
as
r
ea
l
-
tim
e
n
etwo
r
k
s
[
1
]
,
[
2
]
h
av
e
h
ea
lth
f
ac
ilit
ies
th
at
h
av
e
a
v
ar
iety
o
f
s
er
v
ices
co
v
e
r
in
g
v
ar
io
u
s
h
ea
lth
f
ield
s
.
Ho
s
p
itals
,
as
a
m
ea
n
s
o
f
h
ea
lt
h
ca
r
e
,
ar
e
p
lace
s
th
at
ar
e
u
s
ed
.
W
ith
th
e
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ap
id
d
ev
elo
p
m
en
t
o
f
tech
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o
lo
g
y
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d
in
cr
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s
in
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ly
f
ier
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co
m
p
etitio
n
,
h
o
s
p
itals
m
u
s
t im
p
r
o
v
e
th
e
q
u
ality
o
f
th
eir
s
er
v
ices.
An
o
t
h
er
f
ac
to
r
th
at
p
lay
s
a
r
o
le
in
in
f
lu
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n
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p
atie
n
t
s
atis
f
ac
tio
n
is
th
e
f
ac
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av
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ilab
le
at
th
e
h
o
s
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ital.
L
o
ca
tio
n
f
ac
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p
r
o
b
lem
s
,
s
u
ch
as
em
er
g
e
n
cy
s
er
v
ice
f
a
cilities
,
f
o
r
m
an
im
p
o
r
tan
t
class
o
f
lo
ca
tio
n
p
r
o
b
lem
s
i
n
o
p
tim
izatio
n
p
r
o
b
lem
s
[
3
]
,
[
4
]
a
n
d
waste
d
is
p
o
s
al
p
la
ce
[
5
]
.
Un
til
n
o
w,
m
ed
ical
an
d
h
ea
lth
ex
p
er
ts
h
av
e
alwa
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s
tr
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to
im
p
r
o
v
e
th
e
q
u
ality
o
f
t
h
em
s
elv
es,
th
e
p
r
o
f
ess
io
n
,
m
ed
ical
eq
u
ip
m
en
t,
h
ea
lth
m
an
ag
er
ial
ca
p
ab
ilit
ies,
an
d
esp
ec
ially
th
e
q
u
ality
o
f
h
ea
lth
s
er
v
ices
[
6
]
,
[
7
]
,
f
o
r
ex
am
p
le
,
with
in
teg
r
ated
h
ea
lth
m
an
a
g
em
en
t
[
8
]
o
r
with
a
h
ig
h
tech
n
o
lo
g
y
g
a
d
g
et
t
o
m
o
n
ito
r
th
e
p
atien
t’
s
co
n
d
itio
n
[
9
]
.
On
e
o
f
t
h
e
th
in
g
s
th
at
d
ete
r
m
in
es
wh
eth
er
a
h
o
s
p
ita
l
h
as g
o
o
d
q
u
ality
is
th
e
em
e
r
g
e
n
cy
d
e
p
ar
tm
en
t o
r
em
er
g
en
cy
u
n
it.
T
h
er
ef
o
r
e,
h
o
s
p
itals
ar
e
ex
p
ec
ted
to
b
e
ab
le
to
p
r
o
v
id
e
ef
f
ec
tiv
e
an
d
ef
f
icien
t
s
er
v
ices
to
t
h
e
co
m
m
u
n
ity
o
f
h
e
alth
s
er
v
ice
u
s
er
s
.
T
h
e
ef
f
ec
tiv
en
ess
o
f
p
ati
en
t
ca
r
e
is
an
im
p
o
r
tan
t
in
d
ica
to
r
in
ass
ess
in
g
th
e
q
u
ality
o
f
h
ea
lth
s
er
v
ices.
On
e
o
f
th
e
h
ea
lth
ca
r
e
f
ac
ilit
ies
t
h
at
h
as
an
o
th
er
v
er
y
im
p
o
r
ta
n
t
r
o
le
in
p
r
o
v
id
i
n
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
2
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I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
15
,
No
.
3
,
Sep
tem
b
er
20
26
:
1
4
1
9
-
1
4
3
0
1420
h
ea
lth
s
er
v
ices
to
th
e
c
o
m
m
u
n
i
ty
is
th
e
h
o
s
p
ital
[
1
0
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.
C
u
s
to
m
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s
atis
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ac
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ca
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e
ac
h
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ev
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b
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ices
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Min
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f
o
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t
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an
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ally
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to
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d
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p
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o
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lth
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E
m
er
g
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s
er
v
ices
p
r
o
v
id
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d
m
u
s
t
m
ee
t
g
o
o
d
s
er
v
ice
q
u
ality
[
1
1
]
–
[
1
4
]
.
Ser
v
ices
in
th
e
em
er
g
en
cy
u
n
it
wil
l
af
f
ec
t
p
at
ien
t
s
atis
f
ac
tio
n
an
d
h
o
s
p
ital
im
ag
e
[
1
5
]
.
Ser
v
ices
in
th
e
em
er
g
en
cy
d
ep
ar
tm
e
n
t
(
E
D)
[
1
6
]
,
[
1
7
]
p
lay
an
im
p
o
r
t
an
t r
o
le
in
in
f
lu
en
cin
g
p
atien
t
s
atis
f
ac
tio
n
an
d
h
o
s
p
ital r
ep
u
tatio
n
.
E
m
er
g
e
n
c
y
u
n
it
(
E
U)
lo
ca
tio
n
o
p
tim
izatio
n
in
Palem
b
an
g
C
ity
h
o
s
p
itals
aim
s
to
m
in
i
m
ize
th
e
av
er
ag
e
tr
av
el
tim
e
f
r
o
m
t
h
e
lo
ca
tio
n
o
f
c
u
s
to
m
er
r
e
q
u
ests
to
th
e
n
ea
r
est
f
ac
ilit
y
[
1
8
]
.
T
h
e
b
est
h
o
s
p
ital
cr
iter
ia
th
at
ca
n
b
e
u
s
ed
ar
e
s
er
v
ice
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b
ec
au
s
e
it
is
th
e
m
o
s
t
im
p
o
r
tan
t
th
in
g
to
d
eter
m
in
e
q
u
ality
[
1
9
]
,
[
2
0
]
.
T
o
f
u
r
t
h
er
im
p
r
o
v
e
h
o
s
p
ital o
p
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n
s
,
an
i
n
f
o
r
m
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n
s
y
s
tem
ca
n
b
e
d
ev
elo
p
ed
[
9
]
.
T
h
is
s
tu
d
y
s
ee
k
s
to
im
p
lem
en
t
th
e
co
m
p
lex
p
r
o
p
o
r
tio
n
al
ass
es
s
m
en
t
(
C
OP
R
A
S)
[
2
1
]
–
[
2
3
]
a
n
d
s
im
p
le
m
u
lti
-
attr
ib
u
te
r
atin
g
tech
n
iq
u
e
(
SMART)
[
2
4
]
,
[
2
5
]
.
T
h
e
C
OPR
A
S
m
eth
o
d
is
o
n
e
m
eth
o
d
o
f
m
a
k
in
g
a
d
ec
is
io
n
th
at
ass
u
m
es
a
d
ir
ec
t
an
d
p
r
o
p
o
r
tio
n
al
d
ep
e
n
d
en
ce
o
n
th
e
lev
el
o
f
s
ig
n
if
ican
c
e
an
d
u
s
ef
u
ln
ess
o
f
alter
n
ativ
es.
T
h
ese
m
eth
o
d
s
ca
n
id
en
tify
m
u
ltip
le
cr
iter
ia
in
m
ak
in
g
d
ec
is
io
n
s
.
I
n
ad
d
itio
n
,
t
h
e
C
OPR
AS
m
eth
o
d
p
r
e
p
ar
es
attr
ib
u
tes
to
b
e
id
en
tifie
d
,
n
o
r
m
alize
s
th
e
m
atr
ix
,
n
o
r
m
alize
s
th
e
weig
h
ted
m
atr
ix
,
ca
lcu
lates
th
e
m
ax
im
u
m
an
d
m
in
im
u
m
v
alu
es o
f
th
e
in
d
ex
,
ca
lc
u
lat
es
th
e
r
elativ
e
weig
h
t,
an
d
ca
lc
u
lates
th
e
q
u
an
titativ
e
u
tili
ty
o
f
ea
ch
alter
n
ativ
e.
T
h
e
C
OP
R
AS
ap
p
r
o
ac
h
is
k
n
o
wn
f
o
r
r
an
k
in
g
th
r
o
u
g
h
s
ev
er
al
s
tag
es
b
y
ev
alu
atin
g
alter
n
ativ
es
b
ased
o
n
th
eir
lev
el
o
f
s
ig
n
i
f
ican
ce
a
n
d
u
tili
ty
.
Me
an
wh
ile,
SMART
is
a
m
u
lt
i
-
attr
ib
u
te
d
ec
is
io
n
-
m
ak
in
g
tech
n
i
q
u
e
u
s
ed
to
s
u
p
p
o
r
t
d
ec
is
io
n
-
m
ak
er
s
in
ch
o
o
s
in
g
b
etw
ee
n
s
ev
er
al
alter
n
a
tiv
es.
T
h
e
SMART
m
eth
o
d
h
as
s
im
p
le
ca
lcu
latio
n
s
an
d
is
ea
s
y
to
im
p
lem
en
t
f
o
r
h
an
d
lin
g
r
an
d
o
m
n
ess
in
u
n
ce
r
tain
ty
p
r
o
b
lem
s
o
r
in
a
g
r
o
u
p
d
ec
is
io
n
-
m
ak
in
g
ap
p
r
o
ac
h
[
2
6
]
.
T
h
e
weig
h
tin
g
ca
lcu
latio
n
will
p
r
o
d
u
ce
a
v
alu
e
f
o
r
ea
c
h
alter
n
ativ
e
to
o
b
tain
th
e
b
est
an
d
o
p
tim
al
alter
n
ativ
e.
T
h
e
C
OPR
A
S
m
eth
o
d
ca
n
b
e
u
s
ed
to
p
er
f
o
r
m
a
r
an
k
in
g
with
th
e
m
ain
c
r
iter
ia
u
s
ed
,
a
s
s
u
m
in
g
a
d
ir
ec
t
a
n
d
p
r
o
p
o
r
ti
o
n
al
d
ep
en
d
e
n
ce
o
f
th
e
lev
el
o
f
s
ig
n
if
ican
ce
an
d
u
tili
ty
o
f
all
alter
n
ativ
es
,
in
clu
d
in
g
in
a
n
I
n
d
u
s
tr
y
4
.
0
en
v
ir
o
n
m
en
t
[
2
7
]
.
C
OPR
A
S
em
p
h
asizes
p
r
o
p
o
r
tio
n
al
co
m
p
ar
is
o
n
b
etwe
en
alter
n
ativ
es b
ased
o
n
th
e
r
elativ
e
weig
h
t o
f
ea
ch
id
e
n
tifie
d
cr
iter
io
n
.
T
h
e
s
ca
r
city
i
n
d
is
cu
s
s
in
g
b
o
t
h
m
eth
o
d
s
f
o
r
ch
o
o
s
in
g
a
p
u
b
lic
h
ea
lth
f
ac
ilit
y
n
ee
d
s
to
b
e
r
eso
lv
ed
.
T
h
er
ef
o
r
e,
th
e
p
u
r
p
o
s
e
o
f
th
is
r
esear
ch
is
to
d
eter
m
in
e
th
e
m
o
s
t
o
p
tim
al
alter
n
ativ
e
h
o
s
p
ital
em
er
g
en
c
y
u
n
it
(
E
U)
in
ea
c
h
s
u
b
d
is
tr
ict
b
ased
o
n
p
r
ed
eter
m
i
n
ed
c
r
iter
ia,
b
as
ed
o
n
th
e
ad
v
an
tag
es
o
f
im
p
le
m
en
tin
g
C
OP
R
AS
an
d
SMART
as r
ea
l
-
tim
e
n
etwo
r
k
s
ap
p
lied
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.
1
.
Da
t
a
s
o
urce
T
h
is
r
esear
ch
u
s
es
s
ec
o
n
d
ar
y
d
ata
o
b
tain
ed
f
r
o
m
Ho
s
p
ital
On
lin
e
Palem
b
an
g
C
ity
in
2
0
2
4
.
T
h
e
d
ata
co
n
s
is
ts
o
f
th
e
n
u
m
b
er
o
f
s
u
b
d
is
tr
icts
in
Palem
b
an
g
C
ity
.
Data
wer
e
co
llected
an
d
v
e
r
if
i
ed
d
u
r
in
g
Q
u
ar
ter
1
o
f
2
0
2
4
(
J
an
u
a
r
y
–
Ma
r
c
h
2
0
2
4
)
to
en
s
u
r
e
tem
p
o
r
al
co
n
s
is
ten
cy
b
etwe
en
o
p
er
atio
n
al
h
o
s
p
ital
d
ata
an
d
s
p
atial
tr
av
el
n
etwo
r
k
d
ata
.
T
h
e
s
o
u
r
c
es o
f
d
ata
u
s
ed
in
th
is
s
tu
d
y
ar
e
as f
o
llo
ws:
1.
Ho
s
p
ital
On
lin
e
Palem
b
an
g
C
ity
(
h
ttp
s
://s
ir
s
.
k
em
k
es.g
o
.
id
/f
o
/
)
to
p
r
o
v
id
e
h
o
s
p
ital
o
p
er
ati
o
n
al
d
ata
s
u
ch
as th
e
n
u
m
b
e
r
o
f
d
o
c
to
r
s
,
h
o
s
p
ital c
lass
,
an
d
b
ed
av
ailab
ilit
y
.
2.
Go
o
g
le
Ma
p
s
to
co
llect
tr
a
v
el
tim
e
an
d
d
is
tan
ce
d
ata
f
r
o
m
ea
ch
s
u
b
d
is
tr
ict
h
o
s
p
ital w
ith
th
e
E
U.
3.
B
ad
an
Pu
s
at
Statis
tik
(
B
PS
)
Palem
b
an
g
C
ity
to
s
u
p
p
l
y
d
em
o
g
r
ap
h
ic
a
n
d
ad
m
in
is
tr
ativ
e
b
o
u
n
d
ar
y
in
f
o
r
m
atio
n
f
o
r
th
e
1
8
s
u
b
d
is
tr
icts
o
f
Palem
b
an
g
C
ity
.
2
.
2
.
Resea
rc
h
v
a
ria
bles
a
nd
cr
it
er
i
a
T
h
is
s
tu
d
y
ap
p
lies
9
ev
alu
atio
n
cr
iter
ia
th
at
r
ep
r
esen
t a
cc
ess
ib
ilit
y
,
ca
p
ac
ity
,
an
d
s
er
v
ice
r
ea
d
in
ess
o
f
h
o
s
p
itals
in
th
e
E
U.
T
h
e
s
elec
tio
n
o
f
th
e
n
in
e
cr
iter
ia
i
n
T
a
b
le
1
was
b
ase
d
o
n
th
eir
d
ir
ec
t
r
elev
an
ce
to
b
o
th
s
p
atial
ac
ce
s
s
ib
ilit
y
an
d
o
p
er
atio
n
al
r
ea
d
in
ess
o
f
th
e
E
U.
E
ac
h
cr
iter
io
n
r
ep
r
esen
ts
a
cr
itical
co
m
p
o
n
e
n
t
o
f
em
er
g
en
cy
m
e
d
ical
s
er
v
ice
p
er
f
o
r
m
a
n
ce
a
n
d
alig
n
s
with
n
atio
n
al
h
ea
lth
p
o
licies
a
n
d
p
r
ev
io
u
s
s
tu
d
ies.
T
h
is
m
u
lti
d
im
en
s
io
n
al
s
tr
u
ctu
r
e
s
u
p
p
o
r
ts
d
ec
is
io
n
-
m
ak
i
n
g
u
n
d
er
th
e
s
et
c
o
v
er
in
g
p
r
o
b
lem
(
SC
P)
f
r
am
ewo
r
k
,
allo
win
g
p
o
licy
m
ak
e
r
s
to
d
eter
m
in
e
o
p
tim
al
em
er
g
e
n
cy
h
o
s
p
ital
lo
ca
tio
n
s
th
at
m
ax
im
ize
co
v
er
ag
e
an
d
ac
ce
s
s
ib
ilit
y
f
o
r
r
esid
en
ts
o
f
P
alem
b
an
g
C
ity
.
2
.
3
.
M
et
ho
ds
T
h
e
r
esear
ch
m
et
h
o
d
s
u
s
ed
i
n
th
is
s
tu
d
y
ar
e
as f
o
llo
ws.
1.
D
e
t
e
r
m
i
n
e
t
h
e
v
a
l
u
e
o
f
a
l
te
r
n
a
ti
v
e
l
i
n
g
u
i
s
t
i
c
w
e
i
g
h
ts
f
o
r
e
a
c
h
s
u
b
d
i
s
t
r
i
c
t
a
n
d
c
r
it
e
r
i
o
n
,
a
s
T
ab
l
e
1
e
x
p
l
a
i
n
e
d
.
2.
Ass
ig
n
n
u
m
er
ical
weig
h
ts
to
t
h
e
5
class
if
icatio
n
s
f
o
r
ea
ch
s
u
b
d
is
tr
ict.
3.
Dete
r
m
in
e
th
e
weig
h
t
f
o
r
ea
c
h
cr
iter
io
n
in
th
e
5
class
if
icat
io
n
s
.
R
an
k
th
e
o
p
tim
al
h
o
s
p
it
al
lo
ca
tio
n
s
f
o
r
ea
ch
s
u
b
d
is
tr
ict
u
s
in
g
th
e
C
O
PR
AS a
n
d
SMA
R
T
m
eth
o
d
s
.
4.
An
aly
ze
an
d
c
o
m
p
ar
e
th
e
r
esu
lts
o
f
th
e
two
m
eth
o
d
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
Mu
lti
-
crit
er
ia
o
p
timiz
a
tio
n
o
f
eme
r
g
en
cy
u
n
it a
llo
ca
tio
n
u
s
i
n
g
C
OP
R
A
S
a
n
d
S
MAR
T
… (
E
vi
Yu
liz
a
)
1421
T
ab
le
1
.
C
r
iter
ia
C
o
d
e
C
r
i
t
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i
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f
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i
t
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n
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t
Ty
p
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D
a
t
a
so
u
r
c
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1
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a
v
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t
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e
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v
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r
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r
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t
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o
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r
o
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r
t
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EU
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i
n
u
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t
G
o
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M
a
p
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2
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R
o
a
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w
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d
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k
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14
V
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15
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16
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17
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18
F
a
st
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a
r
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l
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B
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T
ab
le
3
.
Nu
m
e
r
ical
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h
t ta
b
le
o
f
alter
n
ativ
e
in
Alan
g
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Alan
g
L
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ar
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
Mu
lti
-
crit
er
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o
p
timiz
a
tio
n
o
f
eme
r
g
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tio
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MAR
T
… (
E
vi
Yu
liz
a
)
1423
3
.
1
.
3
.
Det
er
m
ine t
he
decisi
o
n m
a
t
ri
x
f
o
r
Ala
ng
-
Ala
ng
L
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r
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is
t
rict
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as f
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Ca
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Det
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no
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d we
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d dec
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n m
a
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x
.
T
h
e
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d
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ted
d
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m
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ix
is
a
s
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ws.
′
=
(
2
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W
h
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e
;
′
:
W
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h
ted
n
o
r
m
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ed
m
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x
v
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.
:
No
r
m
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ed
d
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is
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n
m
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ix
v
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es
.
:
Nu
m
er
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h
tin
g
o
f
th
e
c
lass
if
icatio
n
o
n
ea
ch
b
-
t
h
cr
ite
r
io
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
15
,
No
.
3
,
Sep
tem
b
er
20
26
:
1
4
1
9
-
1
4
3
0
1424
T
h
en
,
b
ased
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.
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th
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e
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;
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(
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th
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d
ex
f
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c
h
cr
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−
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h
e
m
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v
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o
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th
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n
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atr
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1
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1
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3
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7
+
8
+
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1
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0
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0
2
+
0
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0
2
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0
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0
1
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0
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0
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1
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1
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1
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1
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0
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0
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0
=
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0
3
,
….
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2
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0
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0
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18
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1
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1
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4
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T
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04
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25
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03
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33
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∑
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654
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238
T
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(
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m
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alter
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ativ
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I
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ab
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4
.
Alter
n
ativ
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p
r
io
r
ity
o
f
Alan
g
-
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g
L
eb
ar
Su
b
d
is
tr
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Ra
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Dete
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
15
,
No
.
3
,
Sep
tem
b
er
20
26
:
1
4
1
9
-
1
4
3
0
1426
3
.
2
.
2
.
Det
er
m
ine t
he
no
r
m
a
li
za
t
io
n o
f
cr
it
er
i
a
weig
hts
N
or
ma
l
iza
tion
=
∑
=
1
(
6
)
W
er
e
,
: Weig
h
t v
alu
e
o
f
th
e
j
-
th
cr
ite
r
io
n
.
∑
: T
o
t
al
s
u
m
o
f
all
cr
iter
ia
weig
h
ts
.
1
=
(
0
.
7
5
+
0
.
5
+
0
.
7
5
+
0
.
5
+
0
.
7
5
+
0
.
5
+
0
.
2
5
+
0
+
0
+
0
.
2
5
+
0
.
2
5
+
0
.
5
+
0
.
2
5
+
0
+
0
.
5
+
0
+
0
.
2
5
+
0
.
7
5
)
=
6
.
7
5
th
e
n
11
=
0
.
75
6
.
75
=
0
.
1
1
,
21
=
0
.
5
6
.
75
=
0
.
0
7
,
31
=
0
.
75
6
.
75
=
0
.
1
1
,
…,
181
=
0
.
75
6
.
75
=
0
,
1
1
,
…,
9
=
(
0
.
7
5
+
0
+
0
+
0
.
2
5
+
0
.
2
5
+
0
+
0
.
2
5
+
0
.
7
5
+
0
.
2
5
+
0
.
2
5
+
0
+
0
+
0
+
0
+
1
+
0
.
5
+
0
+
0
)
=
4
.
2
5
,
19
=
0
.
75
4
.
25
=
0
.
1
8
,
29
=
0
4
.
25
=
0
,
39
=
0
4
.
25
= 0
,
…,
189
=
0
4
.
25
= 0
T
h
en
,
th
e
m
atr
ix
is
as f
o
llo
ws.
0
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1
1
0
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0
9
0
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0
9
0
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0
4
0
0
0
0
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1
8
0
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0
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0
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0
5
0
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0
7
0
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0
4
0
0
0
0
0
0
.
1
1
0
.
0
7
0
.
0
7
0
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0
4
0
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0
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0
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0
7
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0
7
0
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0
5
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0
6
0
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0
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0
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1
1
0
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1
1
0
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0
6
0
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1
1
0
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0
7
0
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0
7
0
.
0
4
0
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1
2
5
0
.
1
1
0
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2
2
0
.
1
1
0
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0
6
0
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0
7
0
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0
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5
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9
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2
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3
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0
8
0
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4
4
0
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4
4
0
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3
3
1
0
0
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0
2
0
.
0
5
0
.
0
4
0
.
1
2
5
0
0
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1
2
0
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0
3
0
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0
5
0
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0
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0
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0
8
0
0
0
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1
1
0
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0
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0
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0
6
0
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1
2
5
0
.
1
1
0
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1
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3
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2
.
3
.
Det
er
m
ine t
he
pa
r
a
m
e
t
er
v
a
lues
f
o
r
ea
ch
cr
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i
o
n
Par
am
eter
v
alu
es f
o
r
ea
ch
cr
it
er
io
n
ar
e
d
escr
ib
ed
in
T
ab
le
3
.
Dete
r
m
in
e
u
tili
ty
v
alu
e
,
a.
Fo
r
cr
iter
ia
with
th
e
co
s
t c
ateg
o
r
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,
it c
an
b
e
ca
lcu
lated
with
(
7
)
as f
o
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(
)
=
−
−
(
7
)
b.
Fo
r
f
av
o
u
r
ab
le
c
r
iter
ia
(
b
en
e
f
it),
it is
ca
lcu
lated
with
(
8
)
as f
o
llo
ws:
(
)
=
−
−
(
8
)
W
er
e
,
(
)
:
j
-
th
cr
iter
io
n
u
tili
ty
v
alu
e
f
o
r
i
-
th
alter
n
ativ
e
.
: M
ax
im
u
m
cr
iter
io
n
s
co
r
e
.
: M
in
im
u
m
cr
iter
io
n
s
co
r
e
.
:
j
-
th
cr
iter
io
n
v
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e
.
C
o
s
t
cr
iter
ia
(
1
,
2
,
3
,
7
,
8
9
)
is
ca
lcu
lated
b
y
u
s
in
g
(
7
)
as f
o
llo
ws:
1
(
1
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=
100
(
0
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75
−
0
.
75
)
(
0
.
75
−
0
)
=
0
,
1
(
2
)
=
100
(
0
.
75
−
0
,
5
)
(
0
.
75
−
0
)
=
0
.
33
,
…,
1
(
18
)
=
100
(
0
.
75
−
0
.
75
)
(
0
.
75
−
0
)
=
0
Fo
r
b
en
ef
it c
r
iter
ia
(
4
,
5
,
d
an
6
)
,
t
h
e
ca
lcu
latio
n
s
b
y
u
s
in
g
(
8
)
ar
e
as f
o
llo
ws:
4
(
1
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=
100
(
0
.
5
−
0
.
5
)
(
1
−
0
.
5
)
=
0
,
4
(
2
)
=
100
(
0
.
5
−
0
.
5
)
(
1
−
0
.
5
)
=
0
,
…,
4
(
18
)
=
100
(
0
.
75
−
0
.
5
)
(
1
−
0
.
5
)
=
0
.
5
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
Mu
lti
-
crit
er
ia
o
p
timiz
a
tio
n
o
f
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r
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en
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u
n
it a
llo
ca
tio
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u
s
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n
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C
OP
R
A
S
a
n
d
S
MAR
T
… (
E
vi
Yu
liz
a
)
1427
3
.
2
.
4
.
Ra
nk
Fro
m
th
e
r
esu
lts
o
f
th
e
ab
o
v
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ca
lcu
latio
n
s
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n
u
m
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19
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44
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3
=
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33
,
4
=
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47
,
5
=
0
.
37
,
6
=
0
.
42
,
7
=
0
.
65
,
8
=
0
.
59
,
9
=
0
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64
,
10
=
0
.
53
,
11
=
0
.
57
,
12
=
0
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45
,
13
=
0
.
57
,
14
=
0
.
7
,
15
=
0
.
3
,
16
=
0
.
69
,
17
=
0
.
64
,
18
=
0
.
48
.
Fro
m
th
e
r
esu
lts
o
f
th
e
ca
lcu
latio
n
p
r
o
ce
s
s
with
th
e
SMART
m
eth
o
d
,
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e
r
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s
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o
w
th
at
th
e
o
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a
f
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last
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an
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wh
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b
e
s
ee
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f
r
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m
th
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lar
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to
th
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s
m
allest
v
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n
a
m
ely
14
is
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SU
Pu
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Per
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No
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i.
Fro
m
th
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m
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e
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o
s
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t
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s
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f
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r
e
r
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m
m
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ased
o
n
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is
(
MO
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A)
.
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d
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