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4
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Dif
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letely
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5
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5
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25
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Feb
r
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20
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u
al
in
f
o
r
m
a
tio
n
m
in
in
g
tech
n
o
l
o
g
y
.
Fu
r
th
er
m
o
r
e,
W
ib
o
wo
an
d
Gr
an
d
h
i
[
6
]
p
r
esen
ted
a
f
u
zz
y
m
u
lti
-
c
r
iter
ia
an
al
y
s
is
m
o
d
el
f
o
r
ev
al
u
atin
g
th
e
p
er
f
o
r
m
an
ce
o
f
I
o
T
-
b
ased
s
u
p
p
ly
c
h
ain
s
.
B
y
u
s
in
g
tec
h
n
iq
u
e
s
im
ilar
ity
to
th
e
id
ea
l
s
o
lu
tio
n
(
T
OPSIS)
ap
p
r
o
ac
h
,
f
o
r
d
ete
r
m
in
in
g
th
e
o
v
er
all
p
er
f
o
r
m
an
ce
o
f
ea
ch
alter
n
ativ
e.
T
h
is
p
r
o
p
o
s
itio
n
aim
s
to
ev
alu
ate
th
e
p
er
f
o
r
m
an
ce
o
f
I
o
T
-
b
ased
s
u
p
p
ly
ch
ain
s
f
o
r
im
p
r
o
v
in
g
t
h
eir
co
m
p
etitiv
en
ess
.
W
ib
o
wo
[
7
]
p
r
o
v
id
ed
a
d
ef
in
itio
n
o
f
d
i
f
f
er
en
t m
ea
s
u
r
es o
f
Qo
S
r
elate
d
t
o
th
e
co
m
p
o
n
en
ts
o
f
I
o
T
ap
p
licatio
n
s
.
Als
o
,
t
h
ey
wer
e
to
u
ch
o
n
th
e
is
s
u
e
o
f
h
u
m
an
d
ec
is
io
n
-
m
ak
in
g
a
n
d
th
e
p
lace
m
en
t
o
f
r
is
k
in
th
ese
d
ec
is
io
n
s
.
An
alg
o
r
ith
m
was
d
ev
elo
p
ed
to
p
r
o
d
u
ce
a
p
er
f
o
r
m
a
n
ce
in
d
ex
f
o
r
ev
er
y
s
u
p
p
ly
ch
ain
,
b
ased
o
n
I
o
T
alter
n
ativ
es
ac
r
o
s
s
all
s
elec
tio
n
cr
ite
r
ia.
Li
et
a
l
.
[
8
]
p
r
esen
te
d
a
d
y
n
am
ic
Qo
S
s
o
lu
tio
n
b
ased
o
n
th
e
d
if
f
e
r
en
tiated
s
er
v
ic
es
(
Dif
f
Ser
v
)
ap
p
r
o
ac
h
f
o
r
e
n
ter
p
r
is
e
in
a
r
ea
l
n
etwo
r
k
,
u
p
o
n
a
f
u
zz
y
in
ter
p
o
latio
n
ap
p
r
o
ac
h
with
a
T
SK
s
ty
le
r
u
le
b
ase.
Kaz
m
i
et
al
.
[
9
]
p
r
o
p
o
s
ed
an
ap
p
r
o
ac
h
f
o
r
m
ax
im
izin
g
a
p
a
ck
et
d
eliv
er
y
r
atio
o
f
th
e
I
o
T
n
etwo
r
k
,
b
y
im
p
lem
e
n
tin
g
f
u
z
zy
lo
g
ic
-
b
ased
lin
k
q
u
ality
esti
m
ato
r
s
in
th
e
W
is
eRo
u
te.
Ar
aú
jo
et
a
l
.
[
1
0
]
p
r
o
p
o
s
ed
an
ap
p
r
o
ac
h
f
o
r
I
o
T
r
o
u
te
s
elec
tio
n
b
y
im
p
lem
en
tin
g
t
h
e
f
u
zz
y
lo
g
ic
in
o
r
d
e
r
to
attain
th
e
r
e
q
u
ir
em
en
ts
o
f
s
p
ec
if
ic
ap
p
licatio
n
s
.
C
h
o
o
s
in
g
d
y
n
am
ically
o
f
in
f
o
r
m
atio
n
f
o
r
o
b
jectiv
e
f
u
n
ctio
n
s
o
f
th
e
r
o
u
tin
g
p
r
o
to
co
l
f
o
r
l
o
w
p
o
wer
an
d
lo
s
s
y
n
etwo
r
k
s
(
R
PL)
.
San
k
ar
an
d
Srin
iv
asan
[
1
1
]
p
r
o
p
o
s
ed
a
f
u
zz
y
lo
g
i
c
-
b
ased
en
er
g
y
a
war
e
r
o
u
tin
g
p
r
o
to
c
o
l
(
FLE
A
-
R
PL)
.
W
h
ich
co
n
s
id
er
s
s
o
m
e
m
etr
ics
lik
e
r
esid
u
al
en
er
g
y
(
R
E
R
)
,
an
d
an
ex
p
ec
ted
tr
a
n
s
m
is
s
io
n
co
u
n
t
(
E
T
X)
.
I
ts
o
b
jectiv
e
is
to
s
elec
t
th
e
b
est
r
o
u
te
to
tr
a
n
s
f
er
th
e
n
et
wo
r
k
d
ata
e
f
f
icien
tly
.
T
h
is
s
tu
d
y
is
ev
alu
ate
d
b
y
co
m
p
ar
is
o
n
w
ith
s
im
ilar
p
r
o
t
o
co
l
s
tan
d
ar
d
R
PL,
MRHOF
(
E
T
X)
b
ased
R
PL
(
MRHOF
-
R
PL)
,
an
d
FL
-
R
PL.
R
etim
a
et
a
l.
[
1
2
]
,
a
f
u
zz
y
lo
g
ic
-
b
ased
f
r
am
ewo
r
k
is
p
r
o
p
o
s
ed
,
wh
ich
b
y
Qo
S
ev
alu
ated
with
in
d
is
tr
ib
u
ted
co
n
tex
t
m
an
a
g
er
an
d
co
n
tex
t
-
awa
r
e
ap
p
licatio
n
s
.
I
n
ad
d
itio
n
,
it
u
s
ed
Ma
p
R
ed
u
ce
f
o
r
q
u
i
ck
er
co
m
p
u
tin
g
an
d
p
ar
allelis
m
p
r
o
ce
s
s
in
g
.
An
o
th
er
s
tu
d
y
was
p
er
f
o
r
m
e
d
b
y
[
1
3
]
,
to
im
p
r
o
v
e
th
e
life
s
p
an
o
f
I
o
T
n
etwo
r
k
.
W
h
er
e
th
ey
p
r
o
p
o
s
ed
an
e
n
er
g
y
-
s
av
in
g
m
ec
h
an
is
m
b
ased
o
n
f
u
zz
y
lo
g
ic.
T
h
ey
h
a
v
e
im
p
r
o
v
ed
le
ar
n
in
g
co
m
p
ar
ed
t
o
IEEE
8
0
2
.
1
5
.
4
p
r
o
to
c
o
l.
Fro
m
th
is
r
ev
iew,
we
ca
n
s
ee
m
an
y
r
esear
ch
es
p
r
o
v
i
d
in
g
s
o
m
e
in
s
ig
h
ts
in
to
d
if
f
e
r
en
t
asp
e
cts
o
f
Qo
S
u
s
in
g
f
u
zz
y
lo
g
ic.
T
h
e
r
ef
o
r
e,
th
e
f
u
zz
y
lo
g
ic
s
y
s
tem
h
as
b
ec
o
m
e
im
p
o
r
tan
t
in
s
ev
er
al
f
ield
s
o
f
s
cien
tific
r
esear
ch
.
As
it
is
a
b
le
to
m
an
ag
e
f
u
zz
y
in
f
o
r
m
a
tio
n
,
an
d
ef
f
icien
tly
h
a
n
d
le
co
m
p
le
x
m
o
d
elin
g
[
1
4
]
.
I
n
ad
d
itio
n
,
f
u
zz
y
lo
g
ic
h
as
s
tr
o
n
g
er
s
em
an
tics
th
an
a
s
et
o
f
f
ield
m
eth
o
d
o
lo
g
y
lik
e
m
ac
h
in
e
-
lear
n
in
g
,
r
ein
f
o
r
ce
m
e
n
t
lear
n
in
g
,
b
ec
au
s
e
o
f
its
in
tu
itiv
e
ex
p
r
ess
iv
e
an
d
th
e
p
o
we
r
f
u
l
r
ea
s
o
n
i
n
g
ab
i
lity
[
1
5
]
.
T
h
u
s
,
th
e
m
o
s
t
im
p
o
r
tan
t
p
o
in
t
is
to
u
n
d
er
s
tan
d
th
e
SQo
S
cr
iter
ia,
to
an
aly
zin
g
,
in
teg
r
ate,
an
d
co
n
v
er
t
in
to
s
tr
ateg
ic
m
ea
s
u
r
in
g
ca
p
ab
ilit
ies.
On
th
is
b
asis
,
T
h
e
au
th
o
r
s
f
o
u
n
d
th
at
n
o
s
p
ec
ial
r
esear
ch
f
o
r
ev
alu
atio
n
all
r
eq
u
ir
em
e
n
ts
o
f
Qo
S.
Fo
r
th
is
r
ea
s
o
n
,
th
e
au
th
o
r
s
p
r
esen
ted
an
ad
v
a
n
ce
d
m
o
d
el
f
o
r
ass
ess
in
g
th
e
s
u
s
tain
ab
le
Qo
S
o
f
th
e
in
ter
n
et
o
f
t
h
in
g
s
,
b
ased
o
n
f
u
zz
y
lo
g
ic,
w
h
ich
it
was
a
r
esear
ch
s
tu
d
y
f
o
r
s
m
ar
t
h
o
m
es.
Fu
r
th
er
m
o
r
e
,
a
s
u
s
tain
ab
le
Q
o
S
m
ak
es
th
e
s
am
e
s
atis
f
ac
tio
n
to
th
e
ch
an
g
in
g
cr
iter
ia
f
o
r
d
i
v
er
s
ity
o
f
I
o
T
s
y
s
tem
s
[
6
]
,
[1
6]
,
[
1
7
]
.
B
ased
o
n
a
c
o
m
p
r
e
h
en
s
iv
e
s
u
r
v
ey
o
f
a
s
m
ar
t
h
o
m
e
r
ese
ar
ch
r
e
v
iew
b
y
th
e
au
th
o
r
s
,
th
ey
h
a
v
e
co
llected
an
ap
p
r
o
p
r
iate
in
f
o
r
m
atio
n
in
ter
m
s
o
f
lan
g
u
a
g
e
v
ar
iab
les
[
1
7
]
,
[
1
8
]
.
T
h
is
m
o
d
el
is
b
ased
o
n
a
g
en
er
al
s
tu
d
y
o
f
all
in
d
icato
r
s
an
d
lin
g
u
is
tic
v
ar
iab
les
o
f
cr
it
er
ia/m
etr
ics.
T
h
e
m
o
d
el
h
as
two
im
p
o
r
tan
t
s
tep
s
.
Firstl
y
,
v
er
if
y
in
g
Qo
S
in
p
u
t
s
at
th
e
s
m
ar
t
h
o
m
e
lev
el
b
y
m
atch
in
g
th
e
in
p
u
t
v
alu
es
(
f
u
zz
y
q
u
ality
o
f
s
er
v
ice
in
d
ice
s
(
FQSI)
)
,
with
th
e
m
ar
k
s
o
f
th
e
cr
iter
ia
o
f
Qo
S.
Seco
n
d
ly
,
id
en
tif
y
in
g
th
e
o
b
s
tacle
s
(
o
r
wea
k
es
t
s
er
v
ices)
to
im
p
r
o
v
e
Qo
S p
er
f
o
r
m
an
ce
b
y
ca
lcu
latin
g
th
e
f
u
zz
y
p
er
f
o
r
m
an
ce
im
p
o
r
tan
ce
i
n
d
ex
(
FP
I
I
)
.
T
h
e
r
est
o
f
th
e
p
ap
er
p
r
esen
t
ed
as
f
o
llo
ws:
in
s
ec
tio
n
2
o
f
f
er
a
p
r
esen
tatio
n
o
f
d
escr
ip
tio
n
o
f
o
u
r
ap
p
r
o
ac
h
.
Sectio
n
3
ex
h
ib
its
th
e
s
im
u
latio
n
r
esu
lts
o
f
o
u
r
p
r
o
p
o
s
ed
tech
n
i
q
u
es
an
d
ev
en
tu
ally
.
Sectio
n
4
co
n
clu
d
es o
u
r
p
a
p
er
an
d
p
e
r
s
p
ec
tiv
es.
2.
M
E
T
H
O
D
T
h
e
s
co
p
e
o
f
th
is
s
tu
d
y
is
o
n
s
ev
er
al
f
ac
to
r
s
.
E
s
tab
lis
h
in
g
a
Q
o
S
s
u
s
tain
ab
ilit
y
m
ec
h
an
is
m
.
Ad
d
r
ess
in
g
all
s
o
lu
tio
n
s
t
o
c
h
allen
g
es
as
m
en
tio
n
ed
i
n
th
e
p
r
ev
i
o
u
s
p
ar
a
g
r
ap
h
.
A
co
n
ce
p
tu
al
m
o
d
el
f
o
r
ass
es
s
in
g
Qo
S
b
ased
o
n
f
u
zz
y
lo
g
ic
is
d
ev
elo
p
ed
.
W
h
er
e
it
is
co
n
tain
s
th
r
ee
b
asic
lev
els.
F
ir
s
tly
,
id
en
tific
atio
n
o
f
i
n
f
o
r
m
atio
n
a
n
d
Qo
S
cr
iter
ia,
b
y
co
llectin
g
an
d
a
n
aly
zin
g
th
e
d
ev
el
o
p
m
en
t
o
f
I
o
T
.
Seco
n
d
ly
,
ass
es
s
in
g
Qo
S
ca
p
ab
ilit
ies
to
o
b
tain
Qo
S
f
o
r
s
u
s
tain
a
b
le
in
ter
n
et
o
f
th
i
n
g
s
b
ased
f
u
zz
y
.
T
h
ir
d
ly
,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
E
va
lu
a
tio
n
q
u
a
lity o
f ser
vice
fo
r
in
tern
et
o
f th
in
g
s
b
a
s
ed
o
n
fu
z
z
y
lo
g
ic
…
(
La
ir
ed
j A
b
o
u
b
a
ke
r
S
a
d
d
ik
)
827
d
eter
m
in
atio
n
an
FP
I
I
s
co
r
e
to
s
p
ec
if
y
th
e
wea
k
est
ar
ea
s
f
o
r
im
p
r
o
v
in
g
Qo
S
p
er
f
o
r
m
an
ce
[
6
]
.
T
h
e
p
r
o
ce
s
s
tak
es p
lace
in
f
o
u
r
s
tep
s
,
as sh
o
wn
in
Fig
u
r
e
1
.
Fig
u
r
e
1
.
Fra
m
ewo
r
k
s
tep
s
to
m
ea
s
u
r
e
an
d
e
v
alu
ate
th
e
Qo
S
f
o
r
I
o
T
T
h
e
d
escr
ip
tio
n
s
tep
s
ar
e
r
ep
r
e
s
en
ted
as f
o
llo
ws:
−
Selectio
n
cr
iter
ia,
d
esig
n
atio
n
s
an
d
attr
ib
u
tes f
o
r
ass
ess
in
g
s
er
v
ice
q
u
ality
.
−
Selectin
g
th
e
ap
p
r
o
p
r
iate
lan
g
u
ag
e
f
o
r
Qo
S a
ttrib
u
tes
−
Me
asu
r
in
g
p
er
f
o
r
m
a
n
ce
r
atin
g
s
an
d
im
p
o
r
ta
n
ce
weig
h
ts
f
o
r
Qo
S
−
R
o
u
n
d
in
g
lin
g
u
is
tic
ter
m
s
f
r
o
m
am
b
ig
u
o
u
s
n
u
m
b
er
s
−
Dete
r
m
in
e
FQSI
u
s
in
g
f
u
zz
y
weig
h
ts
−
Dete
r
m
in
in
g
th
e
E
u
clid
ea
n
d
is
tan
ce
to
m
atch
th
e
FQSI
with
th
e
ap
p
r
o
x
im
ate
Qo
S lev
el
−
Ma
tch
in
g
FQSI.
−
An
aly
ze
th
e
m
ain
o
b
s
tacle
s
.
I
n
th
is
wo
r
k
,
we
p
r
o
p
o
s
ed
th
r
ee
b
asic
alg
o
r
ith
m
s
:
T
h
e
cr
ite
r
ia
s
elec
tio
n
alg
o
r
ith
m
,
wh
ich
is
f
o
r
th
e
id
en
tific
atio
n
o
f
in
f
o
r
m
atio
n
an
d
cr
iter
ia
o
f
Qo
S
b
y
co
lle
ctin
g
an
d
an
aly
zin
g
th
e
I
o
T
d
ev
elo
p
m
e
n
t.
T
h
e
d
ef
in
in
g
a
f
u
zz
y
q
u
ality
o
f
s
er
v
ice
in
d
ex
(
FQSI)
alg
o
r
ith
m
,
wh
ich
is
to
ev
al
u
ate
Q
o
S
ca
p
ab
ilit
ies
an
d
s
y
n
t
h
esize
th
e
r
atin
g
s
R
i
an
d
th
e
weig
h
ts
W
i
to
o
b
tain
a
n
FQSI.
T
h
e
f
u
zz
y
p
er
f
o
r
m
a
n
c
e
im
p
o
r
tan
ce
in
d
e
x
(
FP
I
I
)
alg
o
r
ith
m
,
wh
ich
is
d
e
ter
m
in
in
g
th
e
FP
I
I
to
c
o
m
p
u
te
an
d
id
en
tif
y
wea
k
er
s
er
v
ice
s
to
o
f
f
er
p
r
o
p
o
s
als
f
o
r
im
p
r
o
v
e
m
en
t
o
f
Qo
S
p
er
f
o
r
m
an
ce
.
T
h
e
f
o
llo
win
g
T
ab
le
1
r
ep
r
esen
ts
th
e
s
et
o
f
u
s
e
d
n
o
tatio
n
s
in
o
u
r
p
ap
er
.
T
ab
le
1
.
No
taio
n
tab
le
N
o
t
a
t
i
o
n
D
e
scri
p
t
i
o
n
F
Q
S
I
F
u
z
z
y
Q
u
a
l
i
t
y
o
f
serv
i
c
e
i
n
d
e
x
FPII
F
u
z
z
y
p
e
r
f
o
r
ma
n
c
e
i
mp
o
r
t
a
n
c
e
i
n
d
e
x
Q
S
I
Q
u
a
l
i
t
y
o
f
s
e
r
v
i
c
e
s
i
n
d
e
x
QS
I
s t
h
e
n
a
t
u
r
a
l
l
a
n
g
u
a
g
e
e
x
p
r
e
ss
i
o
n
R
P
e
r
f
o
r
ma
n
c
e
r
a
t
i
n
g
W
I
mp
o
r
t
a
n
c
e
w
e
i
g
h
t
i
n
g
ED
Eu
c
l
i
d
e
a
n
D
i
s
t
a
n
c
e
a
,
b
,
c
Th
e
n
u
m
b
e
r
s f
o
r
f
u
z
z
y
t
r
i
a
n
g
u
l
a
r
:
L
o
w
,
mi
d
d
l
e
,
a
n
d
u
p
p
e
r
n
u
m
b
e
r
s
Rs
R
a
n
k
i
n
g
s
c
o
r
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
2
,
Feb
r
u
a
r
y
20
22
:
8
2
5
-
8
3
9
828
2
.
1
.
Crit
er
ia
s
elec
t
io
n a
lg
o
ri
t
hm
T
h
e
f
ir
s
t
s
tep
d
e
p
en
d
s
o
n
th
e
s
elec
tio
n
o
f
attr
ib
u
tes
an
d
cr
iter
ia
r
elate
d
to
th
e
ev
alu
atio
n
o
f
th
e
Qo
S
cr
iter
ia.
Dete
r
m
in
e
th
e
ap
p
r
o
p
r
iate
lin
g
u
is
tics
ter
m
s
f
o
r
Qo
S a
ttrib
u
tes th
r
o
u
g
h
s
y
s
tem
atic
s
tu
d
y
an
d
liter
atu
r
e
r
ev
iew.
W
e
p
r
o
p
o
s
ed
th
r
ee
le
v
els:
Qo
S
l
ay
er
s
,
s
er
v
ice
s
tan
d
ar
d
s
,
a
n
d
s
er
v
ice
attr
ib
u
tes
.
Fro
m
ex
p
er
ts
an
d
d
ec
is
io
n
-
m
ak
er
s
,
a
r
e
co
llect
ed
an
d
m
ea
s
u
r
ed
t
h
e
p
e
r
f
o
r
m
an
ce
r
atin
g
s
(
R
)
,
th
e
lin
g
u
is
tic
ter
m
s
,
an
d
im
p
o
r
tan
ce
weig
h
ts
.
T
h
en
,
th
e
lin
g
u
is
tic
ter
m
s
ar
e
a
p
p
r
o
x
im
ated
to
am
b
ig
u
o
u
s
n
u
m
b
er
s
b
y
f
u
zz
y
lo
g
ic
[
1
0
]
.
W
h
ich
is
a
to
o
l
f
o
r
co
n
v
er
tin
g
h
u
m
an
k
n
o
wled
g
e
an
d
th
ei
r
ab
ilit
y
to
m
ak
e
d
ec
is
io
n
s
in
to
a
m
ath
em
atica
l
f
o
r
m
u
l
a
.
U
s
i
n
g
a
f
u
z
z
y
p
r
o
c
e
s
s
[
1
7
]
,
[
1
8
]
,
t
h
e
q
u
a
l
i
t
y
o
f
s
e
r
v
i
ce
i
n
d
e
x
(
Q
S
I
)
is
c
o
n
s
t
r
u
ct
e
d
a
n
d
d
e
t
e
r
m
i
n
e
d
b
y
:
=
∑
=
1
(
1
)
QSI
=
∑
=
1
×
(
2
)
w
h
er
e,
is
th
e
Qo
S
lev
els
o
f
c
ap
ab
ilit
y
j
o
f
s
y
s
tem
i,
an
d
an
d
d
e
n
o
te
t
h
e
SQo
S
in
d
e
x
,
an
d
T
h
e
weig
h
t o
f
ea
ch
SQo
S c
ap
ab
ilit
y
.
∑
=
1
=
1
(
3
)
T
h
e
f
u
zz
y
in
d
e
x
o
f
t
h
e
SQo
S
cr
iter
ia
o
f
lev
el
two
ca
n
b
e
ca
l
cu
lated
as:
=
∑
(
=
1
×
)
∑
=
1
(
4
)
w
h
er
e
r
ep
r
esen
ts
p
er
f
o
r
m
an
c
e
(
)
r
atin
g
a
n
d
R
ep
r
esen
ts
a
we
ig
h
t
im
p
o
r
tan
ce
o
f
Qo
S
attr
i
b
u
tes
[
1
8
]
.
T
h
e
f
o
llo
win
g
A
lg
o
r
ith
m
1
s
h
o
ws th
e
m
eth
o
d
o
lo
g
y
o
f
t
h
e
f
ir
s
t p
h
ase
o
f
th
is
p
r
o
p
o
s
ed
m
o
d
el:
Alg
o
r
ith
m
1
: Criter
ia
s
elec
tio
n
alg
o
r
ith
m
INPUT (factors, criteria, and attributes);
Get (factors_QoS, criteria_QoS, attributes_QoS) from label_bank;
Nbr_fact := ∑
factors _QoS; Nbr_Crit := ∑criteria _QoS; Nbr_att := ∑attributes _QoS;
Identify:
For I:= 1 to Nbr_fact do
For I:= 1 to Nbr_Crit do
For I:= 1 to Nbr_att do
{
QS
[i
]:
=
fa
ct
or
s
_Q
oS
[i
];
QS
[i
][
j]
:=
cr
it
er
ia
_Q
oS
[i
][
j]
;
QS
[i
][
j]
[k
]:
=
QoS_attributes
[i][j][k];}
Get (Per_R,Imp_W) from label_bank;
2
.
2
.
Def
ini
ng
a
f
uzzy
qu
a
lity
o
f
s
er
v
ice
ind
ex
a
lg
o
rit
h
m
S
y
n
th
esizin
g
R
i sco
r
es a
n
d
W
i w
eig
h
ts
as f
o
llo
ws:
=
∑
(
=
1
×
)
∑
=
1
(
5
)
=
∑
(
=
1
)
∑
=
1
(
6
)
b
y
u
s
in
g
,
th
e
(
5
)
it c
an
b
e
ca
lc
u
lated
FQSI:
=
∑
=
1
(
7)
t
o
m
a
t
c
h
t
h
i
s
l
a
t
te
r
F
Q
S
I
v
a
l
u
e
w
i
t
h
a
n
a
t
u
r
a
l
e
x
p
r
e
s
s
i
o
n
.
W
e
u
s
e
t
h
e
E
u
c
l
i
d
e
a
n
d
i
s
t
a
n
ce
m
e
th
o
d
[
1
8
]
to
f
in
d
th
e
ap
p
r
o
x
im
ate
Qo
S
lev
el.
B
y
ca
lcu
latin
g
,
th
e
d
is
tan
ce
b
etwe
e
n
g
iv
e
n
f
u
zz
y
n
u
m
b
e
r
an
d
ea
c
h
o
f
f
u
zz
y
n
u
m
b
er
s
r
ep
r
esen
tin
g
a
s
et
o
f
n
atu
r
al
lan
g
u
ag
e
e
x
p
r
ess
io
n
s
.
I
t c
a
n
b
e
ca
lcu
lated
as f
o
llo
ws:
D
(
QS
I
,
QS
)
=
{
∑
,
[
(
)
−
(
)
]
2
∈
}
1
/
2
(
8
)
w
h
er
e
QS
is
th
e
n
atu
r
al
lan
g
u
ag
e
ex
p
r
ess
io
n
.
T
h
e
f
o
llo
wi
n
g
A
lg
o
r
ith
m
2
s
h
o
ws
th
e
s
tep
s
o
f
th
e
s
ec
o
n
d
p
h
ase
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
E
va
lu
a
tio
n
q
u
a
lity o
f ser
vice
fo
r
in
tern
et
o
f th
in
g
s
b
a
s
ed
o
n
fu
z
z
y
lo
g
ic
…
(
La
ir
ed
j A
b
o
u
b
a
ke
r
S
a
d
d
ik
)
829
Alg
o
r
ith
m
2
: D
ef
i
n
in
g
a
f
u
zz
y
q
u
ality
o
f
s
er
v
ice
in
d
e
x
(
FQSI)
INPUT (services_threshold);
If services threshold is true then Evaluate_linguitstic:
Set (Imp_W & Per_R) in QS;
Return (table_QS);
Calcule(QSI[i],QS[i][j]);
set (R) in table_QS;
Calcule(FQSI);
if (R) is true then get (QSI_level) from label_bank; Return QSI_level;
Distanceecludien(
FQ
S
I
,
Q
S
I
_
le
v
e
l
);Matchng(FQSI, D);
2
.
3
.
Det
er
m
ini
ng
t
he
f
uzzy
perf
o
rm
a
nce
im
po
r
t
a
nce
ind
ex
a
lg
o
rit
h
m
(
F
P
I
I
)
Dete
r
m
in
in
g
th
e
f
u
zz
y
p
er
f
o
r
m
an
ce
im
p
o
r
tan
ce
in
d
e
x
alg
o
r
ith
m
as
s
h
o
wn
in
Alg
o
r
ith
m
3
.
FP
I
I
is
u
s
ed
to
id
en
tif
y
o
b
s
tacle
s
an
d
id
en
tify
wea
k
er
s
er
v
ices
[
1
6
]
-
[
1
9
]
.
FP
I
I
is
ca
lcu
lated
as f
o
llo
ws:
=
′
×
(
9
)
w
h
er
e:
′
=
[
(
1
1
1
)
−
]
(
10
)
I
s
th
e
f
u
zz
y
im
p
o
r
ta
n
ce
weig
h
t o
f
th
e
Qo
S f
o
r
I
o
T
elem
en
t c
ap
ab
ilit
y
ijk
.
Sin
ce
f
u
zz
y
n
u
m
b
er
s
d
o
n
o
t
alwa
y
s
g
iv
e
a
to
tally
o
r
d
er
e
d
s
et
as
d
o
r
ea
l
n
u
m
b
e
r
s
[
1
7
]
,
[
2
0
]
.
All
FP
I
I
s
m
u
s
t
b
e
class
if
ied
.
Her
e
th
er
e
ar
e
m
a
n
y
m
ea
s
u
r
es
o
f
s
im
ilar
ity
b
etwe
en
f
u
zz
y
n
u
m
b
e
r
s
[
2
0
]
.
I
n
o
r
d
er
to
b
e
id
en
tifie
d
th
e
m
ain
o
b
s
tacle
s
,
we
r
ely
o
n
t
h
e
f
u
zz
y
n
u
m
b
er
r
a
n
k
in
g
o
f
th
e
ce
n
tr
o
id
m
eth
o
d
[
1
8
]
,
[
2
0
]
m
em
b
er
s
h
ip
f
u
n
ctio
n
(
a,
b
,
c)
as
s
h
o
wn
in
a
(
1
0
)
,
wh
er
e
a,
b
,
c,
is
th
e
lo
wer
,
m
ed
iu
m
,
an
d
u
p
p
er
tr
ia
n
g
u
lar
f
u
zz
y
n
u
m
b
e
r
s
,
d
ef
in
e
d
as:
R
an
k
in
g
Sco
r
e
=
(
a
+
4
b
+
c)
/
6
(1
1
)
Alg
o
r
ith
m
3
:
D
eter
m
i
n
in
g
th
e
f
u
zz
y
p
e
r
f
o
r
m
an
ce
im
p
o
r
tan
ce
in
d
ex
(
FP
I
I
)
Conventional_crisp_technique);
Return crisp
;
Get (R[i][j],R[i],QSI) from crisp[i];
Calcule (FPII);
Centroid_ method(FPII[i][j][k]); Return ranking_score;
Get (stable_service, obsacleservice) form ranking_score;
OUTPUT rate_score;
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
I
n
th
is
s
ec
tio
n
,
we
d
e
v
elo
p
e
d
th
e
co
n
ce
p
tu
al
m
o
d
el
f
o
r
s
u
s
tain
ab
ilit
y
Qo
S
ass
es
s
m
en
t.
W
h
er
e
th
e
an
aly
s
is
s
tu
d
y
ca
r
r
ied
o
u
t
b
a
s
ed
o
n
m
ea
s
u
r
i
n
g
th
e
p
r
esen
t
ed
p
ar
am
eter
s
was
co
n
d
u
cted
f
o
r
a
s
m
ar
t
h
o
m
e
b
ased
o
n
t
h
e
I
o
T
s
y
s
tem
.
T
h
e
o
n
ly
d
i
f
f
er
en
ce
is
in
th
e
c
o
llectio
n
o
f
d
ata
th
at
m
a
y
d
if
f
er
in
d
iv
er
s
e
ca
s
es.
T
h
e
Ma
tlab
s
im
u
lato
r
was u
s
ed
to
v
alid
ate
th
is
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
[
2
1
]
.
3
.
1
.
Select
io
n o
f
cr
it
er
ia
,
l
a
bels
,
a
nd
a
t
t
ribute
s
T
o
ass
ess
Qo
S,
we
u
s
ed
a
co
m
b
i
n
ati
o
n
o
f
ad
v
a
n
ce
d
in
f
o
r
m
atio
n
tech
n
o
lo
g
ies,
an
d
s
er
v
ice
m
an
ag
em
en
t
tech
n
o
lo
g
y
o
f
s
m
ar
t
h
o
m
es.
T
h
e
m
o
d
el
h
as
b
ee
n
d
ev
elo
p
e
d
f
r
o
m
liter
atu
r
e
an
aly
s
is
[
2
2
]
-
[
3
1
]
,
an
d
th
r
o
u
g
h
ex
p
er
ts
.
As
a
r
es
u
lt,
as
s
h
o
wn
in
T
ab
le
2
,
t
h
er
e
ar
e
t
h
r
ee
le
v
els:
Qo
S
lay
er
,
Qo
S
C
r
iter
ia,
Qo
S
s
er
v
ices.
3.
2
.
Det
er
m
ini
ng
a
pp
ro
pria
t
e
la
ng
ua
g
e
t
er
m
s
f
o
r
Q
o
S a
t
t
ribute
s
I
n
o
r
d
er
t
o
ev
alu
ate
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
Qo
S
ca
p
ab
ilit
ie
s
.
T
h
er
ef
o
r
e,
th
e
lin
g
u
is
tic
ter
m
s
in
th
is
ap
p
r
o
ac
h
ar
e
u
s
ed
to
ass
ess
th
e
p
er
f
o
r
m
an
ce
r
atin
g
a
n
d
im
p
o
r
tan
ce
weig
h
ts
o
f
th
e
Qo
S
ca
p
ab
ilit
ies,
b
ased
o
n
th
e
o
r
ig
in
al
d
ata
o
f
th
e
s
tu
d
y
in
[
1
8
]
,
as
s
h
o
wn
in
T
ab
le
3
.
T
h
ey
ar
e
as
f
o
llo
ws:
ex
ce
llen
t
(
E
)
,
v
er
y
g
o
o
d
(
VG)
,
g
o
o
d
(
G)
,
f
ai
r
(
F),
p
o
o
r
(
P),
v
er
y
p
o
o
r
(
VP)
,
an
d
w
o
r
s
t
(
W
)
}
th
ese
ter
m
s
ar
e
s
el
ec
ted
to
ass
ess
th
e
p
er
f
o
r
m
an
ce
r
atin
g
o
f
Qo
S c
ap
ab
ilit
ies.
I
n
r
elatio
n
to
th
e
im
p
o
r
tan
ce
o
f
Qo
S we
ig
h
ts
attr
i
b
u
tes,
an
d
v
er
y
h
ig
h
(
VH)
,
h
ig
h
(
H)
,
f
air
ly
h
ig
h
(
F
H)
,
m
ed
i
u
m
(
M)
,
f
air
ly
lo
w
(
FL)
,
lo
w
(
L
)
,
v
er
y
lo
w
(
VL
)
i
n
ter
m
s
o
f
ass
ess
in
g
th
e
p
er
f
o
r
m
an
ce
o
f
Qo
S c
a
p
ab
ilit
ies.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
2
,
Feb
r
u
a
r
y
20
22
:
8
2
5
-
8
3
9
830
T
ab
le
2
.
Def
in
e
th
e
ap
p
r
o
p
r
iate
lin
g
u
is
tic
ter
m
in
o
lo
g
y
f
o
r
Q
o
S a
ttrib
u
tes
[
2
2
]
-
[
3
1
]
Q
o
S
La
y
e
r
I
n
d
e
x
(
Q
S
i
)
Q
o
S
C
r
i
t
e
r
i
a
I
n
d
e
x
(
Q
S
i
j
)
Q
o
S
ser
v
i
c
e
s
I
n
d
e
x
(
Q
S
i
j
k
)
A
p
p
l
i
c
a
t
i
o
n
serv
i
c
e
s
l
a
y
e
r
(
QS
1
)
S
mart
H
o
mes
d
e
si
g
n
I
n
t
e
r
f
a
c
e
(
QS
11
)
D
e
si
g
n
o
f
d
a
t
a
c
o
l
l
e
c
t
i
o
n
p
r
o
c
e
d
u
r
e
s
(
QS
1
1
1
)
A
u
t
h
o
r
i
z
a
t
i
o
n
a
n
d
A
u
t
h
e
n
t
i
c
a
t
i
o
n
d
e
s
i
g
n
(
QS
1
1
2
)
D
e
si
g
n
o
f
t
e
c
h
n
o
l
o
g
i
c
a
l
i
n
f
r
a
st
r
u
c
t
u
r
e
(
QS
1
1
3
)
R
e
m
o
t
e
d
e
v
i
c
e
s
ser
v
i
c
e
s
(
QS
12
)
Ex
t
e
r
n
a
l
I
o
T
h
o
u
se
-
d
e
v
i
c
e
s
(
QS
1
2
1
)
S
t
a
t
i
o
n
a
r
y
I
o
T
h
o
u
s
e
-
d
e
v
i
c
e
s
(
QS
1
2
2
)
S
u
p
p
o
r
t
i
v
e
I
o
T
h
o
u
se
-
d
e
v
i
c
e
s
(
QS
1
2
3
)
A
p
p
l
i
c
a
t
i
o
n
s
t
e
c
h
n
o
l
o
g
i
e
s
(
QS
13
)
I
n
f
o
r
mat
i
o
n
a
n
d
c
o
mm
u
n
i
c
a
t
i
o
n
t
e
c
h
n
o
l
o
g
y
(
QS
1
3
1
)
Te
l
e
me
t
r
y
:
t
e
c
h
n
o
l
o
g
i
e
s
t
o
e
x
c
h
a
n
g
e
i
n
f
o
r
ma
t
i
o
n
(
QS
1
3
2
)
S
y
st
e
ms s
t
r
a
t
e
g
i
e
s
a
n
d
n
e
w
t
e
c
h
n
o
l
o
g
i
e
s s
u
r
v
e
i
l
l
a
n
c
e
(
QS
1
3
3
)
M
o
b
i
l
e
o
p
e
r
a
t
o
r
a
ss
i
st
a
n
t
s
(
QS
1
3
4
)
R
e
m
o
t
e
ser
vi
c
e
s
l
a
y
e
r
(
QS
2
)
I
n
f
o
r
mat
i
o
n
P
r
o
c
e
ss
i
n
g
D
e
si
g
n
:
d
e
f
i
n
e
s
t
h
e
r
o
b
u
s
t
a
n
d
a
c
c
u
r
a
t
e
i
n
f
o
r
ma
t
i
o
n
c
a
p
t
u
r
i
n
g
(
QS
21
)
I
n
f
o
r
mat
i
o
n
a
c
c
u
r
a
c
y
(
QS
211
)
Tr
u
st
w
o
r
t
h
i
n
e
ss
(
QS
2
1
2
)
p
r
o
v
e
n
a
n
c
e
o
f
I
o
T
(
QS
2
1
3
)
R
e
m
o
t
e
c
o
n
t
r
o
l
o
f
h
o
u
s
e
sy
st
e
m
(
QS
22
)
H
o
u
s
e
I
t
e
ms
(
QS
2
2
1
)
R
e
m
o
t
e
I
o
T
a
l
a
r
m
(
QS
222
)
V
i
r
t
u
a
l
mo
n
i
t
o
r
i
n
g
o
f
i
m
p
o
r
t
a
n
t
d
e
v
i
c
e
s
(
QS
2
2
3
)
R
e
m
o
t
e
Em
e
r
g
e
n
c
y
(
QS
224
)
R
e
m
o
t
e
d
i
s
p
l
a
y
a
n
d
o
p
e
r
a
t
i
o
n
(
QS
2
2
5
)
I
mp
r
o
v
e
sy
s
t
e
m
p
e
r
f
o
r
m
a
n
c
e
(
QS
23
)
I
d
e
n
t
i
f
i
c
a
t
i
o
n
s
y
st
e
ms
(
QS
2
3
1
)
I
n
t
e
r
c
o
n
n
e
c
t
e
d
r
o
o
ms i
n
f
o
r
m
a
t
i
o
n
sy
s
t
e
m
(
QS
2
3
2
)
H
o
u
s
e
S
y
st
e
m
d
i
v
e
r
si
t
y
(
QS
2
3
3
)
A
c
c
e
ss
i
b
i
l
i
t
y
s
y
st
e
ms
(
QS
2
3
4
)
O
p
e
r
a
t
i
o
n
s
a
n
d
w
o
r
k
f
l
o
w
m
a
n
a
g
e
me
n
t
(
QS
235
)
C
o
m
p
u
t
i
n
g
Te
c
h
n
o
l
o
g
i
e
s
(
QS
24
)
W
e
b
serv
e
r
(
QS
2
4
1
)
C
l
o
u
d
c
o
mp
u
t
i
n
g
,
e
d
g
e
c
o
mp
u
t
i
n
g
,
f
o
g
c
o
m
p
u
t
i
n
g
(
QS
2
4
2
)
N
o
d
e
s:
i
d
e
n
t
i
f
y
c
e
n
t
r
a
l
,
c
l
u
s
t
e
r
n
o
d
e
s
a
n
d
a
b
a
se
st
a
t
i
o
n
(
QS
2
4
3
)
K
n
o
w
l
e
d
g
e
ser
v
i
c
e
s
l
a
y
e
r
(
QS
3
)
H
u
ma
n
o
p
e
r
a
t
o
r
(
QS
31
)
H
u
ma
n
t
r
u
s
t
a
u
t
o
n
o
mo
u
s s
y
s
t
e
ms
(
QS
311
)
M
o
n
i
t
o
r
i
n
g
f
o
r
a
h
o
u
se
w
i
t
h
P
r
e
se
n
c
e
o
f
p
e
o
p
l
e
(
QS
3
1
2
)
I
mp
r
o
v
e
d
h
o
u
s
e
ma
n
a
g
e
me
n
t
(
QS
313
)
D
i
sea
s
e
m
a
n
a
g
e
me
n
t
(
QS
32
)
I
mp
r
o
v
e
d
d
i
a
g
n
o
st
i
c
a
n
d
t
r
e
a
t
m
e
n
t
(
QS
3
2
1
)
D
e
c
r
e
a
s
e
d
c
o
st
(
QS
322
)
En
h
a
n
c
e
d
h
u
ma
n
m
a
n
a
g
e
m
e
n
t
(
QS
3
2
3
)
D
e
c
i
s
i
o
n
-
ma
k
i
n
g
s
y
st
e
ms
(
QS
33
)
Tr
a
c
e
a
b
i
l
i
t
y
o
f
a
l
l
i
n
f
o
r
m
a
t
i
o
n
(
QS
3
3
1
)
Th
e
ma
c
h
i
n
e
u
n
d
e
r
st
a
n
d
i
n
g
,
s
e
ma
n
t
i
c
t
e
c
h
n
o
l
o
g
y
(
QS
332
)
L
e
a
r
n
i
n
g
me
t
h
o
d
(
QS
333
)
S
e
n
s
i
n
g
s
e
r
v
i
c
e
s
la
y
e
r
(
QS
4
)
S
e
n
s
o
r
I
o
T
(
QS
41
)
Te
c
h
n
o
l
o
g
y
t
h
i
n
g
s
a
p
p
r
o
p
r
i
a
t
e
se
n
s
o
r
t
o
c
o
l
l
e
c
t
d
a
t
a
(
QS
4
1
1
)
P
o
w
e
r
c
o
n
su
mp
t
i
o
n
r
a
t
e
(
QS
4
1
2
)
S
e
n
s
i
n
g
t
e
c
h
n
o
l
o
g
i
e
s
(
QS
413
)
D
a
t
a
a
c
q
u
i
s
i
t
i
o
n
(
QS
42
)
D
a
t
a
st
r
u
c
t
u
r
e
(
QS
421
)
On
-
t
i
m
e
a
c
c
e
ss
(
QS
4
2
2
)
D
a
t
a
so
u
r
c
e
s
(
QS
4
2
3
)
D
a
t
a
i
n
t
e
g
r
a
t
i
o
n
p
l
a
t
f
o
r
ms
(
QS
424
)
D
a
t
a
a
c
c
u
r
a
c
y
(
QS
4
2
5
)
S
t
o
r
a
g
e
c
a
p
a
c
i
t
y
.
(
QS
4
2
6
)
C
r
i
t
i
c
a
l
d
a
t
a
(
QS
4
2
7
)
R
e
l
i
a
b
i
l
i
t
y
a
n
d
C
o
n
t
i
n
u
i
t
y
(
QS
43
)
I
mp
r
o
v
e
e
n
d
u
r
a
n
c
e
(
QS
4
3
1
)
R
e
s
o
u
r
c
e
e
f
f
i
c
i
e
n
c
y
(
QS
4
3
2
)
C
o
m
p
l
e
x
i
t
y
(
QS
4
3
3
)
S
c
a
l
a
b
i
l
i
t
y
(
QS
4
3
4
)
N
e
t
w
o
r
k
i
n
g
ser
v
i
c
e
s
l
a
y
e
r
(
QS
5
)
C
o
mm
u
n
i
c
a
t
i
o
n
T
y
p
e
s
[
2
4
]
(
QS
51
)
H
u
ma
n
t
o
h
u
ma
n
(
H
2
H
)
(
QS
511
)
,
H
u
ma
n
t
o
mac
h
i
n
e
(
H
2
M
)
(
QS
5
1
2
)
M
a
c
h
i
n
e
t
o
ma
c
h
i
n
e
(
M
2
M
)
(
QS
5
1
3
)
S
t
a
n
d
a
r
d
i
z
a
t
i
o
n
a
n
d
e
f
f
i
c
i
e
n
c
y
(
QS
5
1
4
)
C
o
n
n
e
c
t
i
o
n
T
e
c
h
n
o
l
o
g
i
e
s
(
QS
52
)
M
e
ss
a
g
e
s
c
h
e
d
u
l
i
n
g
(
QS
5
2
1
)
N
e
t
w
o
r
k
P
r
o
t
o
c
o
l
(
QS
5
2
2
)
R
e
a
l
-
t
i
me
c
e
l
l
u
l
a
r
c
o
n
n
e
c
t
i
v
i
t
y
(
QS
523
)
R
o
u
t
i
n
g
(
QS
53
)
La
r
g
e
sc
a
l
e
(
QS
531
)
Tr
a
f
f
i
c
m
a
n
a
g
e
m
e
n
t
a
n
d
i
m
p
r
o
v
e
t
h
e
t
h
r
o
u
g
h
p
u
t
(
QS
5
3
2
)
R
a
n
g
e
a
n
d
c
o
v
e
r
a
g
e
(
QS
5
3
3
)
R
o
u
t
i
n
g
p
a
t
h
s a
c
r
o
ss
t
h
e
I
o
T
n
o
d
e
s
(
QS
5
3
4
)
M
o
b
i
l
i
t
y
a
n
d
l
o
c
a
t
i
o
n
(
QS
5
3
5
)
3.
3
.
M
ea
s
ure
R
a
nd
W
us
in
g
lin
g
uis
t
ic
t
er
m
s
T
h
e
p
e
r
f
o
r
m
an
ce
r
atin
g
s
a
n
d
th
e
im
p
o
r
tan
ce
weig
h
ts
f
o
r
s
er
v
ice
q
u
ality
attr
ib
u
tes
ar
e
m
ea
s
u
r
ed
u
s
in
g
lin
g
u
is
tic
ter
m
s
.
T
h
e
c
o
n
ce
p
t
o
f
lin
g
u
is
tic
v
ar
iab
les
to
ev
al
u
ate
p
er
f
o
r
m
a
n
ce
r
ati
n
g
s
an
d
im
p
o
r
tan
ce
weig
h
ts
ar
e
d
e
f
in
ed
in
T
ab
l
e
3
.
T
h
ese
v
alu
es
ar
e
to
b
e
u
s
ed
d
ir
ec
tly
t
o
ev
al
u
ate
th
e
r
atin
g
,
wh
ich
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
E
va
lu
a
tio
n
q
u
a
lity o
f ser
vice
fo
r
in
tern
et
o
f th
in
g
s
b
a
s
ed
o
n
fu
z
z
y
lo
g
ic
…
(
La
ir
ed
j A
b
o
u
b
a
ke
r
S
a
d
d
ik
)
831
ch
ar
ac
ter
izes
th
e
p
er
f
o
r
m
a
n
c
e
o
f
d
if
f
er
en
t
s
er
v
ice
q
u
alit
y
ca
p
a
b
ilit
ies,
th
o
r
o
u
g
h
ev
al
u
atio
n
s
o
f
o
v
er
all
p
er
f
o
r
m
an
ce
,
a
n
d
weig
h
t sig
n
if
ican
ce
ch
ar
ac
ter
is
tics
o
f
Qo
S,
as sh
o
wn
in
T
ab
le
4
.
T
ab
le
3
.
L
in
g
u
is
tic
v
ar
iab
les
with
f
u
zz
y
n
u
m
b
e
r
s
[
1
8
]
R
W
Li
n
g
u
i
s
t
i
c
v
a
r
i
a
b
l
e
F
u
z
z
y
n
u
m
b
e
r
s
Li
n
g
u
i
s
t
i
c
v
a
r
i
a
b
l
e
F
u
z
z
y
n
u
m
b
e
r
s
W
o
r
st
(
W
r
)
V
e
r
y
p
o
o
r
(
V
P
)
P
o
o
r
(
P
)
F
a
i
r
(
F
)
G
o
o
d
(
G
)
V
e
r
y
g
o
o
d
(
V
G
)
Ex
c
e
l
l
e
n
t
(
E)
(
0
0
.
5
1
.
5
)
(
1
2
3
)
(
2
3
.
5
5
)
(
3
5
7
)
(
5
6
.
5
8
)
(
7
8
9
)
(
8
.
5
9
.
5
10
)
V
e
r
y
l
o
w
(
V
L)
Lo
w
(
L)
F
a
i
r
l
y
l
o
w
(
F
L)
M
e
d
i
u
m (
M
)
F
a
i
r
l
y
h
i
g
h
(
F
H
)
H
i
g
h
(
H
)
V
e
r
y
h
i
g
h
(
V
H
)
(
0
0
.
05
0
.
15
)
(
0
.
1
0
.
2
0
.
3
)
(
0
.
2
0
.
35
0
.
5
)
(
0
.
3
0
.
5
0
.
7
)
(
0
.
5
0
.
65
0
.
8
)
(
0
.
7
0
.
8
0
.
9
)
(
0
.
85
0
.
95
1
.
0
)
T
ab
le
4
.
Per
f
o
r
m
an
ce
o
f
Qo
S
attr
ib
u
tes
(
QS
i
)
(
QS
ij
)
(
QS
i
jk
)
(
QS
i
)
(
QS
ij
)
(
QS
i
jk
)
(
)
(
QS
11
)
(
QS
1
1
1
)
(
QS
1
1
2
)
(
QS
1
1
3
)
H
H
VH
H
FH
VG
G
G
(
)
(
QS
41
)
(
QS
411
)
(
QS
412
)
(
QS
413
)
H
VH
VH
VH
H
VG
VG
G
(
QS
12
)
(
QS
1
2
1
)
(
QS
1
2
2
)
(
QS
1
2
3
)
H
M
M
M
F
G
G
(
QS
42
)
(
QS
421
)
(
QS
422
)
(
QS
423
)
(
QS
424
)
(
QS
425
)
(
QS
426
)
(
QS
427
)
VH
M
FH
FH
M
H
VH
VH
G
G
G
G
G
G
G
(
QS
13
)
(
QS
1
3
1
)
(
QS
1
3
2
)
(
QS
1
3
3
)
(
QS
1
3
4
)
H
H
VH
FH
H
G
VG
G
VG
(
QS
43
)
(
QS
431
)
(
QS
432
)
(
QS
433
)
(
QS
434
)
VH
H
FH
FH
FH
G
F
F
G
(
)
(
QS
21
)
(
QS
211
)
(
QS
212
)
(
QS
213
)
VH
H
H
H
H
G
G
G
(
)
(
QS
51
)
(
QS
511
)
(
QS
512
)
(
QS
513
)
(
QS
514
)
H
H
M
M
M
FH
G
G
G
G
(
QS
22
)
(
QS
221
)
(
QS
222
)
(
QS
223
)
(
QS
224
)
(
QS
225
)
VH
H
FH
VH
VH
VH
F
G
VG
VG
VG
(
QS
52
)
(
QS
521
)
(
QS
522
)
(
QS
523
H
VH
H
H
VG
VG
VG
(
QS
23
)
(
QS
231
)
(
QS
232
)
(
QS
233
)
(
QS
234
)
(
QS
235
)
H
FH
M
FH
M
M
VG
G
G
G
G
(
QS
53
)
(
QS
531
)
(
QS
532
)
(
QS
533
)
(
QS
534
)
(
QS
535
)
VH
M
H
M
H
H
G
VG
VG
VG
G
(
QS
24
)
(
QS
241
)
(
QS
242
)
(
QS
243
)
H
M
M
FH
G
G
VG
(
)
(
QS
31
)
(
QS
311
)
(
QS
312
)
(
QS
313
)
H
VH
VH
VH
H
VG
VG
G
(
QS
32
)
(
QS
321
)
(
QS
322
)
(
QS
323
)
H
M
M
M
G
G
G
(
QS
33
)
(
QS
331
)
(
QS
332
)
(
QS
333
)
H
H
FH
H
G
F
F
3.
4
.
Ro
un
din
g
lin
g
uis
t
ic
t
er
m
s
f
ro
m a
m
big
uo
us
nu
m
ber
s
T
h
e
lin
g
u
is
tic
v
alu
e
ca
n
b
e
m
an
ip
u
lated
with
a
f
u
zz
y
n
u
m
b
er
[
2
9
]
,
b
y
ap
p
l
y
in
g
th
e
r
elatio
n
s
h
ip
b
etwe
en
lin
g
u
is
tic
ter
m
s
an
d
f
u
zz
y
n
u
m
b
er
s
.
As
s
h
o
wn
in
T
ab
le
4
,
lin
g
u
is
tic
ter
m
s
ar
e
tr
an
s
f
er
r
e
d
in
am
b
ig
u
o
u
s
n
u
m
b
er
s
.
T
h
e
r
esu
lts
ar
e
s
h
o
wn
in
T
ab
le
5
.
3.
5
.
Det
er
m
ine t
he
F
Q
SI
us
i
ng
f
uzzy
weig
hts
FQSI
is
an
ag
g
r
eg
atio
n
o
f
f
u
z
zy
s
co
r
es
with
f
u
zz
y
weig
h
ts
,
wh
ich
r
ep
r
esen
ts
th
e
o
v
er
all
Qo
S.
T
h
e
f
u
zz
y
Qo
S L
ev
el
two
s
u
s
tain
ab
ilit
y
cr
iter
ia
in
d
ex
ca
n
b
e
ca
l
cu
lated
u
s
in
g
th
e
(
5
)
.
11
=
11
=
(
5
.
8293
7
.
0938
8
.
3704
)
(
1
2
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
2
,
Feb
r
u
a
r
y
20
22
:
8
2
5
-
8
3
9
832
As
a
s
am
p
le,
th
e
f
u
zz
y
in
d
ex
f
o
r
th
e
cr
iter
ia
(
QS
11
)
ca
n
b
e
c
alcu
lated
in
(
12
)
.
B
y
ap
p
l
y
in
g
th
e
s
am
e
eq
u
atio
n
,
o
th
er
f
u
zz
y
in
d
ex
es
o
f
QS
ij
an
d
QSI
ar
e
o
b
tain
ed
as
lis
ted
in
T
ab
le
6
.
Fin
ally
,
with
ap
p
l
y
in
g
th
e
(
6
)
,
th
e
FQSI
was c
alcu
lated
as f
o
ll
o
w:
F
QSI
=
(
5
.
4
5
8
7
6
.
8
2
9
1
8
.
2
1
0
1
)
T
ab
le
5
.
R
o
u
n
d
in
g
ter
m
s
with
am
b
ig
u
o
u
s
n
u
m
b
er
s
(
Q
S
i
)
(
Q
S
i
j
)
(
Q
S
i
j
k
)
(
)
(
QS
11
)
(
QS
1
1
1
)
(
QS
1
1
2
)
(
QS
1
1
3
)
(
0
.
7
0
.
8
0
.
9
)
(
0
.
7
0
.
8
0
.
9
)
(
0
.
85
0
.
95
1
.
0
)
(
0
.
7
0
.
8
0
.
9
)
(
0
.
5
0
.
65
0
.
8
)
(
7
8
9
)
(
5
6
.
5
8
)
(
5
6
.
5
8
)
(
QS
12
)
(
QS
1
2
1
)
(
QS
1
2
2
)
(
QS
1
2
3
)
(
0
.
7
0
.
8
0
.
9
)
(
0
.
3
0
.
5
0
.
7
)
(
0
.
3
0
.
5
0
.
7
)
(
0
.
3
0
.
5
0
.
7
)
(
3
5
7
)
(
5
6
.
5
8
)
(
5
6
.
5
8
)
(
QS
13
)
(
QS
1
3
1
)
(
QS
1
3
2
)
(
QS
1
3
3
)
(
QS
1
3
4
)
(
0
.
7
0
.
8
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3
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3
5
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QS
41
)
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QS
4
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4
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QS
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)
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QS
4
2
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4
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QS
4
2
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QS
4
2
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
E
va
lu
a
tio
n
q
u
a
lity o
f ser
vice
fo
r
in
tern
et
o
f th
in
g
s
b
a
s
ed
o
n
fu
z
z
y
lo
g
ic
…
(
La
ir
ed
j A
b
o
u
b
a
ke
r
S
a
d
d
ik
)
833
T
ab
le
6
.
Fu
zz
y
in
d
ex
es
QS
R
i
QS
ij
R
ij
QS
1
(
5
.
4
3
0
0
6
.
8
0
4
7
8
.
1
8
8
3
)
QS
11
(
5
.
8293
7
.
0938
8
.
3704
)
QS
12
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4
.
3
3
3
3
6
.
0
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7
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6
6
6
7
)
QS
13
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6
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1
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3
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6
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(
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2
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9
3
7
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4
2
6
5
8
.
6
0
9
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3.
6
.
Det
er
m
ine t
he
euclidea
n
dis
t
a
nce
t
o
m
a
t
ch
F
Q
SI
wit
h t
he
a
pp
ro
x
im
a
t
e
Q
o
S lev
e
l
T
o
id
e
n
tify
t
h
e
lev
el
o
f
s
u
s
tain
ab
ilit
y
.
T
h
e
o
b
tain
ed
FQSI
c
an
b
e
m
atch
e
d
with
lin
g
u
is
tic
ter
m
s
b
y
u
s
in
g
th
e
(
7
)
.
T
h
e
n
at
u
r
al
lin
g
u
is
tic
s
et
L
[
7
]
,
wh
er
e
L
=
{
E
x
tr
em
ely
SQo
S
[
E
QS
(
7
,
8
.
5
,
1
0
)
]
;
Ver
y
SQo
S
[
VQS
(
5
.
5
,
7
,
8
.
5
)
]
;
Me
d
iu
m
SQo
S
[
MQ
S
(
3
.
5
,
5
,
6
.
5
)
]
;
Fai
r
ly
SQo
S
[
FQS
(
1
.
5
,
3
,
4
.
5
)
]
;
Slo
wly
SQo
S
[
SQS
(
0
,
1
.
5
,
3
)
]
}}
.
E
u
clid
ea
n
d
is
tan
ce
D
is
o
b
tain
ed
f
r
o
m
th
e
FQ
SI
f
o
r
ea
ch
m
em
b
er
o
f
th
e
L
-
s
et
an
d
is
ca
lcu
lated
as
:
D
(
FQSI,
E
QS)
=
2
.
8
9
3
D(
FQSI,
VQS)
=
0
.
3
3
9
1
D(
FQSI,
MQ
S)
=
3
.
1
7
9
1
D(
FQSI,
FQS)
=
6
.
6
4
0
7
D(
FQSI,
SQS)
=
9
.
2
3
8
1
3.
7
.
M
a
t
ching
F
Q
SI
T
o
th
e
ap
p
r
o
p
r
iate
lev
el
Af
ter
th
e
d
is
tan
ce
s
ar
e
o
b
tain
ed
,
th
e
m
in
im
u
m
d
is
tan
ce
(
D
)
is
ch
o
s
en
as
th
e
cu
r
r
en
t statu
s
as
:
m
in
{
D(FQS
I,
EQS
)
,
D(FQS
I,
VQ
S
)
,
D(FQS
I,
M
QS)
,
D(FQS
I
,
F
QS)
,
D(FQS
I,
S
QS)
}
=
D(FQS
I,
VQ
S
)
t
h
u
s
,
b
y
m
atch
i
n
g
th
e
m
in
im
u
m
D
with
a
lin
g
u
is
tic
lab
el,
th
e
s
u
s
tain
ab
le
q
u
ality
o
f
s
er
v
ic
e
in
d
ex
lev
el
ca
n
b
e
id
en
tifie
d
as «
v
er
y
s
u
s
tain
ab
le
Qo
S»
,
as sh
o
wn
in
Fig
u
r
e
2
.
Fig
u
r
e
2
.
L
i
n
g
u
is
tic
lev
els to
m
atch
FQSI
3.
8
.
Ana
ly
s
is
t
he
m
a
in o
bs
t
a
cles
R
eg
ar
d
in
g
th
e
ef
f
icien
c
y
o
f
th
e
Qo
S
m
ea
s
u
r
em
en
t
m
eth
o
d
,
t
h
e
o
b
tain
ed
f
u
zz
y
SQo
S
in
d
ex
h
as
b
ee
n
v
alid
ated
u
s
in
g
co
n
v
en
tio
n
al
cr
is
p
.
T
h
e
r
esu
lt
o
b
tain
ed
b
y
ap
p
ly
i
n
g
t
h
e
f
u
zz
y
an
d
tr
ad
itio
n
al
ap
p
r
o
ac
h
es
g
iv
es
th
e
s
am
e
r
esu
lts
as
s
h
o
wn
in
T
ab
le
7
,
b
y
u
s
in
g
th
e
c
o
n
v
en
tio
n
al
cr
is
p
y
tech
n
iq
u
e,
th
e
s
er
v
ice
q
u
ality
in
d
ex
was f
o
u
n
d
at
6
.
8
4
an
d
t
h
e
r
esu
ltin
g
QSI
was v
alid
ated
as sh
o
wn
in
T
ab
le
8
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
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4
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5
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I
n
d
o
n
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J
E
lec
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n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
2
,
Feb
r
u
a
r
y
20
22
:
8
2
5
-
8
3
9
834
T
ab
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R
eg
ar
d
in
g
t
h
e
ef
f
icien
cy
o
f
th
e
SQo
S
in
d
e
x
m
ea
s
u
r
em
en
t
m
eth
o
d
.
T
a
b
le
8
m
o
n
ito
r
s
th
e
r
esu
lt
o
b
tain
ed
b
y
ap
p
ly
in
g
th
e
f
u
z
zy
an
d
c
o
n
v
e
n
tio
n
al
a
p
p
r
o
ac
h
es,
lead
in
g
to
s
im
ilar
co
n
clu
s
io
n
s
.
T
h
e
FQSI
is
g
en
er
ated
b
y
th
e
f
u
zz
y
lo
g
ic
a
p
p
r
o
ac
h
an
d
ex
p
r
ess
ed
in
ter
m
s
o
f
v
alu
e
r
an
g
es.
T
h
is
r
atin
g
ca
n
g
iv
e
an
o
v
er
all
s
o
lu
tio
n
o
f
th
e
r
ele
v
an
t
p
o
s
s
ib
ilit
y
an
d
en
s
u
r
e
th
at
th
e
d
ec
is
io
n
tak
en
in
th
e
s
elec
tio
n
p
r
o
ce
s
s
is
co
r
r
ec
t.
I
n
ad
d
itio
n
,
it g
i
v
es d
ec
is
io
n
-
m
a
k
er
s
g
r
ea
t f
lex
i
b
ilit
y
in
m
ak
in
g
d
ec
is
io
n
s
m
ak
in
g
.
Evaluation Warning : The document was created with Spire.PDF for Python.