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w
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m
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th
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lt
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ly
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s a
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o
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m
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tri
c
s.
K
ey
w
o
r
d
s
:
B
u
s
in
ess
p
r
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s
s
m
o
d
el
Fu
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y
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in
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Pro
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s
s
d
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co
v
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Pro
ce
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s
m
in
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T
im
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b
ased
alg
o
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ith
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T
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s
a
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o
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c
c
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ss
a
rticle
u
n
d
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th
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CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Yu
tik
a
Am
elia
E
f
f
en
d
i
R
o
b
o
tics
an
d
Ar
tific
ial
I
n
tellig
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ce
E
n
g
in
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in
g
,
Facu
lty
o
f
Ad
v
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ce
d
T
ec
h
n
o
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g
y
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d
M
u
ltid
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lin
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iv
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itas
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lan
g
g
a
C
C
am
p
u
s
Un
iv
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itas
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lan
g
g
a,
Mu
ly
o
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St.
Su
r
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b
ay
a
6
0
1
1
5
,
I
n
d
o
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esia
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m
ail:
co
r
r
esp
-
au
th
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m
ail.
co
m
1.
I
NT
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D
UCT
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N
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etu
r
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m
ater
ial
a
u
to
m
atica
lly
(
R
MA
)
is
a
p
r
o
ce
s
s
to
r
et
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r
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th
e
d
ev
ice
to
th
e
co
m
p
a
n
y
if
d
am
a
g
e
o
cc
u
r
s
[
1
]
.
T
h
is
r
etu
r
n
aim
s
to
r
ep
air
o
r
r
ep
lace
t
h
e
d
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ice,
wh
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e
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ests
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e
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ts
o
f
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ter
r
elate
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tiv
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th
at
s
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ld
b
e
d
o
n
e
in
p
a
r
ticu
lar
s
eq
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en
ce
o
r
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er
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co
m
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lete
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to
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m
ag
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ak
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a
r
ep
air
i
n
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o
r
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lace
m
en
t
d
ec
is
io
n
.
T
h
is
b
u
s
in
ess
p
r
o
ce
s
s
h
as
th
e
p
o
ten
tial to
ca
u
s
e
b
o
ttlen
e
ck
s
in
th
e
f
lo
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as we
ll a
s
th
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em
er
g
en
ce
o
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n
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ts
.
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o
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te
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,
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o
t
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atin
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r
e
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SOP)
wh
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s
u
ally
co
n
s
is
ts
o
f
m
a
n
y
b
u
s
in
ess
p
r
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ce
s
s
es.
A
s
th
e
b
u
s
in
ess
p
r
o
ce
s
s
co
u
ld
c
au
s
e
in
ef
f
icien
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a
co
m
p
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n
y
s
h
o
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ld
im
p
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e
th
eir
b
u
s
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ess
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s
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u
lar
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y
.
T
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b
est
way
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s
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g
p
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s
d
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wh
ich
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
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mp
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ve
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z
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lg
o
r
ith
m
fo
r
b
u
s
in
ess
p
r
o
ce
s
s
d
is
co
v
ery
(
Yu
tika
A
melia
E
ffen
d
i
)
1831
h
as
aim
to
d
is
co
v
er
p
r
o
ce
s
s
m
o
d
el.
No
wad
ay
s
,
p
r
o
ce
s
s
m
in
in
g
b
ec
o
m
e
m
o
r
e
p
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lar
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o
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g
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izatio
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eth
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n
izatio
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co
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s
ily
ca
p
tu
r
e
in
f
o
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m
atio
n
f
r
o
m
ea
ch
tr
an
s
ac
tio
n
h
ap
p
en
e
d
[
2
]
.
So
m
e
p
r
e
v
io
u
s
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esear
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h
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s
e
d
p
r
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g
r
am
ev
al
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atio
n
a
n
d
r
ev
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tech
n
iq
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(
PERT)
[
3
]
an
d
g
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al
p
r
o
g
r
a
m
m
in
g
[
4
]
to
o
p
tim
ize
tim
e
an
d
co
s
t,
wh
er
e
PERT
is
u
s
ed
to
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elec
t
o
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tim
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Pro
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am
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g
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its
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.
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th
is
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h
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zz
y
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in
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ap
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h
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b
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s
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t
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s
m
o
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el
with
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ctu
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p
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es
[
5
]
.
Pre
v
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ly
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o
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els
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e
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ail
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estrictiv
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ir
o
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en
t,
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e
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el
will
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m
o
r
e
less
-
s
tr
u
ctu
r
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b
e
h
av
io
r
a
n
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h
ar
d
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n
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er
s
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.
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ap
p
r
o
ac
h
is
to
p
r
o
v
id
e
h
i
g
h
-
lev
el
v
iew
o
f
th
e
p
r
o
ce
s
s
,
s
o
th
at
th
is
m
eth
o
d
o
f
p
r
o
ce
s
s
m
in
in
g
co
u
ld
em
p
h
asize
m
o
r
e
s
ig
n
if
i
ca
n
t
n
o
d
es.
I
t
co
u
ld
g
iv
e
a
h
i
g
h
lig
h
t
o
n
m
o
r
e
im
p
o
r
tan
t
p
a
th
s
.
As
o
n
e
o
f
th
e
y
o
u
n
g
est
alg
o
r
ith
m
s
in
p
r
o
c
ess
m
in
in
g
d
e
v
elo
p
e
d
in
2
0
0
7
,
f
u
zz
y
m
in
er
ad
a
p
ts
b
ette
r
in
less
-
s
tr
u
ctu
r
ed
en
v
ir
o
n
m
en
t,
wh
ich
tr
ad
itio
n
a
l m
in
in
g
alg
o
r
ith
m
s
f
ail
to
.
S
ev
er
al
alg
o
r
ith
m
s
h
av
e
b
ee
n
u
s
ed
in
b
u
s
in
ess
p
r
o
ce
s
s
d
is
co
v
er
y
,
s
u
ch
as
tim
e
an
d
co
n
tr
o
l
f
lo
w
p
atter
n
[
6
]
wh
ic
h
en
ab
lin
g
th
e
p
r
o
ce
s
s
m
o
d
el
to
d
is
co
v
er
co
n
d
itio
n
al
-
OR
r
elatio
n
s
h
ip
.
C
o
r
r
esp
o
n
d
in
g
r
esear
ch
also
h
as
b
ee
n
d
o
n
e
with
tim
e
-
b
ased
h
eu
r
is
tic
m
in
er
[
7
]
.
An
o
th
er
s
tu
d
y
co
n
d
u
ct
ed
in
Ko
r
ea
[
8
]
h
as
d
ev
elo
p
e
d
a
f
u
zz
y
m
in
in
g
alg
o
r
ith
m
to
d
eter
m
in
e
an
o
u
tp
at
ien
t
ca
r
e
p
r
o
ce
ss
.
T
h
is
r
esear
ch
was
u
tili
ze
d
f
o
r
im
p
r
o
v
em
e
n
ts
f
r
o
m
v
ar
io
u
s
s
id
es
.
T
h
er
ef
o
r
e,
th
is
p
a
p
er
p
r
o
p
o
s
es
a
n
ew
im
p
r
o
v
ed
f
u
zz
y
m
in
er
alg
o
r
ith
m
to
r
ep
r
esen
t
b
in
ar
y
co
r
r
elatio
n
b
etwe
en
ac
tiv
ities
.
T
h
is
n
ew
alg
o
r
ith
m
u
tili
ze
s
b
in
ar
y
s
ig
n
i
f
ican
ce
an
d
b
in
ar
y
co
r
r
elati
o
n
eq
u
ally
to
ac
q
u
ir
e
f
u
zz
y
m
o
d
el.
W
h
ile
th
e
o
r
ig
in
al
f
u
zz
y
m
in
e
r
alg
o
r
ith
m
u
s
es
v
ar
io
u
s
b
in
ar
y
co
r
r
elatio
n
m
etr
ics,
th
e
im
p
r
o
v
ed
f
u
zz
y
m
in
e
r
alg
o
r
ith
m
u
s
es
o
n
ly
o
n
e
m
etr
ic
an
d
co
u
l
d
ca
p
tu
r
e
th
e
f
u
zz
y
m
o
d
el,
ac
cu
r
ately
b
ased
o
n
th
e
ev
en
t
lo
g
s
.
No
t
o
n
ly
t
h
a
t
r
ea
s
o
n
,
im
p
r
o
v
ed
f
u
zz
y
m
i
n
er
alg
o
r
ith
m
was
d
ev
elo
p
e
d
b
ased
o
n
tim
e
in
ter
v
al
in
th
e
th
r
esh
o
ld
to
ca
p
tu
r
e
m
o
r
e
ac
cu
r
ate
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el.
2.
P
RE
L
I
M
I
NAR
Y
ST
U
DY
2
.
1
.
P
r
o
ce
s
s
m
ini
ng
a
nd
ev
ent
lo
g
Pro
ce
s
s
m
in
in
g
is
a
p
r
o
ce
s
s
w
h
ich
co
m
b
in
es p
r
o
ce
s
s
m
an
ag
em
en
t a
n
d
d
ata
s
cien
ce
.
T
h
is
p
r
o
ce
s
s
h
as
aim
s
h
o
w
to
d
is
co
v
er
,
m
o
n
ito
r
an
d
im
p
r
o
v
e
th
e
r
ea
l
p
r
o
ce
s
s
es
b
y
ex
tr
ac
tin
g
th
e
in
f
o
r
m
at
io
n
f
r
o
m
th
e
e
v
en
t
lo
g
[
9
]
.
T
h
er
e
ar
e
m
an
y
d
if
f
er
en
t a
lg
o
r
ith
m
s
th
at
h
av
e
b
ee
n
d
ev
elo
p
e
d
o
v
er
y
ea
r
s
.
T
h
ese
alg
o
r
ith
m
s
ar
e
b
ased
o
n
eith
er
lo
ca
l
ap
p
r
o
ac
h
(
alp
h
a
alg
o
r
ith
m
an
d
h
e
u
r
is
tic
m
in
er
)
o
r
g
lo
b
al
ap
p
r
o
ac
h
(
g
en
eti
c
m
in
er
an
d
f
u
zz
y
m
in
e
r)
[
10
]
.
E
ac
h
alg
o
r
ith
m
h
as
d
if
f
er
en
t
f
u
n
ctio
n
a
n
d
a
p
p
r
o
ac
h
.
Heu
r
is
tic
m
in
er
is
a
p
r
a
ctica
l
alg
o
r
ith
m
t
h
at
ca
n
h
an
d
le
n
o
is
e
b
y
u
s
in
g
f
r
e
q
u
en
cies
an
d
p
ar
a
m
etr
izatio
n
[
11
]
,
wh
ile
a
g
l
o
b
al
ap
p
r
o
ac
h
alg
o
r
ith
m
s
u
ch
as
g
en
etic
m
in
er
o
r
f
u
zz
y
m
in
er
ca
n
m
in
e
co
m
p
lex
lo
g
s
[1
2
]
.
T
h
e
m
o
s
t
r
ec
en
t
is
s
u
e
i
s
h
o
w
t
h
e
a
lg
o
r
ith
m
s
h
o
u
ld
b
e
ab
le
to
ca
p
tu
r
e
co
m
p
lex
m
o
d
els
o
r
n
o
is
y
lo
g
s
,
b
y
u
s
in
g
clu
s
ter
in
g
an
d
ab
s
tr
ac
tio
n
.
Pr
o
ce
s
s
m
in
in
g
s
tag
es
ad
o
p
ted
f
r
o
m
Gü
n
th
er
[
1
3
]
e
x
p
lain
ed
in
Fig
u
r
e
1.
A
r
ec
o
r
d
ed
ac
tiv
ity
o
f
a
ca
s
e
with
in
a
tim
estam
p
an
d
s
o
m
etim
es
it
h
as
an
o
r
ig
in
at
o
r
(
p
ar
ticu
lar
p
er
s
o
n
w
h
o
d
o
es
t
h
e
task
)
is
a
d
ef
in
itio
n
o
f
an
e
v
en
t
lo
g
[1
4
]
.
T
h
e
r
ec
o
r
d
b
asi
ca
lly
co
n
s
is
ts
o
f
d
ate,
tim
e,
u
s
er
/acto
r
,
ev
en
t
I
D
o
r
ca
s
e
I
D
,
ty
p
e,
d
ep
ar
tm
e
n
t,
an
d
s
o
u
r
ce
.
E
ac
h
ac
tiv
ity
h
as d
if
f
er
e
n
t a
ttrib
u
te,
d
ep
en
d
s
o
n
wh
at
th
e
co
m
p
a
n
y
n
ee
d
t
o
r
ec
o
r
d
[1
5
]
,
[
1
6
]
.
Fig
u
r
e
1
.
Pro
ce
s
s
m
in
in
g
s
tag
es
[
5
]
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
,
Vo
l.
1
9
,
No
.
6
,
Decem
b
e
r
2
0
2
1
:
183
0
-
18
39
1832
2
.
2
.
F
uzzy
m
iner
Fu
zz
y
m
in
er
alg
o
r
ith
m
was
d
ev
elo
p
e
d
b
y
Gü
n
th
er
[
5
]
.
I
t
is
in
clu
d
ed
in
o
n
e
o
f
th
e
y
o
u
n
g
est
alg
o
r
ith
m
s
in
p
r
o
ce
s
s
d
is
co
v
er
y
co
m
p
ar
ed
t
o
alp
h
a
m
i
n
er
an
d
h
eu
r
is
tics
m
in
er
al
g
o
r
ith
m
.
T
h
e
m
ain
ad
v
an
tag
e
o
f
th
is
alg
o
r
ith
m
is
it
co
u
ld
d
ir
ec
tly
tack
le
th
e
p
r
o
b
lem
o
f
a
lar
g
e
n
u
m
b
er
o
f
h
ig
h
ly
u
n
s
tr
u
ctu
r
ed
ac
tiv
ities
an
d
b
eh
av
io
r
s
.
T
h
is
m
eth
o
d
is
u
s
ed
wh
en
th
e
o
r
g
a
n
izatio
n
h
as
co
m
p
lex
an
d
u
n
s
tr
u
ctu
r
ed
e
v
en
t
lo
g
.
I
t
co
u
ld
also
s
im
p
lify
th
e
p
r
o
ce
s
s
m
o
d
el
in
an
in
ter
ac
tiv
e
way
b
ec
au
s
e
it
u
s
e
s
s
ig
n
if
ican
ce
o
r
co
r
r
elatio
n
m
etr
ics
[
1
3
]
.
A
n
o
th
er
in
te
r
esti
n
g
th
in
g
ab
o
u
t
th
is
alg
o
r
ith
m
is
it
ca
n
p
r
io
r
i
tize
th
e
ac
tiv
ities
if
th
er
e
ar
e
to
o
m
an
y
o
f
th
em
.
H
o
wev
er
,
th
e
s
h
o
r
tco
m
in
g
o
f
th
e
f
u
zz
y
m
o
d
el
is
it
ca
n
n
o
t
b
e
c
o
n
v
e
r
ted
t
o
an
y
o
th
er
ty
p
e
o
f
p
r
o
ce
s
s
m
o
d
elin
g
lan
g
u
ag
e
,
b
u
t
th
ey
ca
n
b
e
u
s
ed
to
an
i
m
ate
ev
en
t
lo
g
s
o
n
to
p
o
f
a
m
o
d
el
b
u
ilt
to
s
en
s
e
d
y
n
am
ic
p
r
o
ce
s
s
b
eh
av
i
o
r
.
A
l
th
o
u
g
h
f
u
zz
y
is
n
ew
to
b
e
u
s
ed
in
b
u
s
in
ess
p
r
o
ce
s
s
d
is
co
v
er
y
r
esear
ch
,
it
h
as
b
ee
n
wid
ely
u
s
ed
to
s
o
lv
e
p
r
o
b
lem
s
s
u
ch
as
s
y
n
th
esis
o
f
g
u
ar
an
tee
d
s
tab
ilit
y
r
eg
io
n
s
o
f
a
n
o
n
s
tatio
n
ar
y
n
o
n
lin
ea
r
s
y
s
tem
[
1
7
]
a
n
d
p
av
em
en
t
p
er
f
o
r
m
an
ce
ev
alu
atio
n
[
1
8
]
.
2
.
3
.
Co
nf
o
rma
nce
chec
k
ing
T
o
v
alid
ate
th
e
b
u
s
in
ess
p
r
o
c
ess
ac
q
u
ir
ed
f
r
o
m
th
e
p
r
o
ce
s
s
m
in
in
g
al
g
o
r
ith
m
is
ca
lled
co
n
f
o
r
m
a
n
ce
ch
ec
k
in
g
[1
9
]
,
[
20
]
.
C
o
n
f
o
r
m
an
ce
ch
ec
k
in
g
co
n
s
is
ts
o
f
f
o
u
r
cr
iter
io
n
s
,
n
am
ely
f
itn
ess
,
s
i
m
p
licity
,
p
r
ec
is
io
n
,
an
d
g
en
e
r
aliza
tio
n
[
20
]
.
Pr
o
ce
s
s
m
in
in
g
m
ak
es a
co
n
f
o
r
m
a
n
ce
ch
ec
k
in
g
i
n
o
r
d
er
to
p
r
o
o
f
t
h
at
o
b
s
er
v
ed
m
o
d
el
is
co
m
p
atib
le
with
m
o
d
ele
d
p
r
o
ce
s
s
th
en
ex
ten
d
s
to
in
itial m
o
d
el
[1
6
]
.
-
Fit
n
ess
Fit
n
ess
is
a
v
alu
e
th
at
s
h
o
ws
th
e
n
u
m
b
er
o
f
ca
s
es
d
is
co
v
e
r
ed
in
t
h
e
p
r
o
ce
s
s
m
o
d
el
[
2
0
]
-
[
22
]
.
I
ts
v
alu
e
r
a
n
g
es
f
r
o
m
0
to
1
,
wh
e
r
e
0
m
ea
n
s
th
at
th
er
e
is
n
o
ca
s
e
d
is
co
v
er
ed
at
all
o
n
th
e
b
u
s
in
ess
p
r
o
ce
s
s
,
wh
ile
1
m
ea
n
s
all
th
e
ca
s
es
co
u
l
d
b
e
d
is
co
v
er
ed
b
y
t
h
e
alg
o
r
ith
m
a
n
d
s
h
o
wn
o
n
t
h
e
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el.
Fit
n
ess
v
alu
e
(
FV)
co
u
l
d
b
e
m
ea
s
u
r
ed
b
y
(
1
)
.
FV =
c
a
s
e
s
c
a
ptur
e
d
c
a
s
e
s
on
a
c
tual
e
ve
nt
logs
(
1
)
-
Simp
licity
Simp
licity
is
a
v
alu
e
th
at
s
h
o
ws
o
f
wh
ich
a
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
h
as
o
r
d
o
es
n
o
t
h
av
e
r
ed
u
n
d
a
n
t
ac
tiv
ities
[
20
]
,
[
23
]
.
Simp
lici
ty
v
alu
e
r
an
g
es
f
r
o
m
0
to
1
,
wh
er
e
0
m
ea
n
s
th
e
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
h
as
m
u
ch
o
f
r
ed
u
n
d
an
t
ac
tiv
ities
,
wh
ile
1
m
ea
n
s
th
e
b
u
s
in
es
s
p
r
o
ce
s
s
m
o
d
el
d
o
es
n
o
t
h
av
e
an
y
r
e
d
u
n
d
an
t
a
ctiv
ities
.
Simp
licity
v
alu
e
(
SV)
co
u
ld
b
e
m
ea
s
u
r
ed
b
y
(
2
)
.
SV =
1
-
dupli
c
a
te
a
c
ti
vit
i
e
s
+
mi
s
s
ing
a
c
ti
vit
ies
node
s
on
model
(
2
)
-
Pre
cisi
o
n
Pre
cisi
o
n
is
a
v
alu
e
th
at
s
h
o
w
s
th
e
ac
cu
r
ac
y
o
f
t
r
ac
es
ca
p
tu
r
ed
b
y
th
e
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
[1
6
]
,
[
20
]
,
[2
4
]
.
Pre
cisi
o
n
v
al
u
e
r
an
g
es
f
r
o
m
0
t
o
1
,
wh
er
e
0
m
ea
n
s
th
er
e
is
n
o
ca
s
e
ca
p
tu
r
ed
f
r
o
m
th
e
e
v
en
t
lo
g
b
y
th
e
alg
o
r
ith
m
,
wh
ile
1
m
ea
n
s
all
ca
s
e
s
co
u
ld
b
e
ca
p
tu
r
e
d
in
th
e
p
r
o
ce
s
s
m
o
d
el.
Pre
ci
s
io
n
v
alu
e
(
PV)
is
ca
lcu
lated
by
(
3
)
.
PV =
1
−
s
um
of
bias
tr
a
c
e
s
tr
a
c
e
s
f
r
om
logs
(
3
)
-
Gen
er
aliza
tio
n
Gen
er
aliza
tio
n
is
a
v
alu
e
t
h
a
t
s
h
o
ws
f
lex
ib
ilit
y
o
f
a
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
[
20
]
.
Gen
er
aliza
tio
n
v
alu
e
r
an
g
es f
r
o
m
0
to
1
,
wh
er
e
0
m
ea
n
s
th
e
m
o
d
el
s
h
o
ws s
p
ec
if
ic
f
o
r
m
f
r
o
m
th
e
ev
en
t lo
g
s
,
wh
ile
1
m
ea
n
s
it
s
h
o
ws
a
m
o
r
e
f
lex
ib
le
f
o
r
m
as
a
co
m
p
ar
atio
n
f
r
o
m
e
v
en
t
lo
g
s
d
is
co
v
er
y
o
f
n
o
d
es.
Gen
er
ali
za
tio
n
v
alu
e
(
GV)
co
u
ld
b
e
m
ea
s
u
r
ed
b
y
(
4
)
.
=
1
−
∑
(
√
#
)
1
−
1
#
1
#
(
4
)
3.
RE
S
E
ARCH
M
E
T
H
O
D
I
n
th
is
r
esear
ch
,
th
e
p
r
o
p
o
s
ed
m
eth
o
d
c
o
n
s
is
ts
o
f
s
tep
s
o
n
h
o
w
im
p
r
o
v
e
d
tim
e
-
b
ased
f
u
zz
y
m
in
e
r
wo
r
k
ed
.
I
m
p
r
o
v
ed
f
u
zz
y
m
in
er
alg
o
r
ith
m
is
u
s
ed
to
m
o
d
el
b
u
s
in
ess
p
r
o
ce
s
s
f
r
o
m
th
e
ev
en
t
lo
g
s
,
an
d
th
e
n
co
m
p
ar
ed
to
f
u
zz
y
m
o
d
el
f
r
o
m
Pro
M
s
o
f
twar
e
.
B
o
th
m
o
d
e
ls
will
later
b
e
co
m
p
ar
ed
an
d
ev
alu
ated
in
a
ter
m
o
f
co
n
f
o
r
m
a
n
ce
ch
ec
k
in
g
,
t
o
d
eter
m
in
e
wh
ich
m
o
d
el
r
esu
lts
b
etter
.
Pro
p
o
s
ed
m
eth
o
d
ex
p
la
in
ed
in
Fig
u
r
e
2.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
I
mp
r
o
ve
d
fu
z
z
y
min
er a
lg
o
r
ith
m
fo
r
b
u
s
in
ess
p
r
o
ce
s
s
d
is
co
v
ery
(
Yu
tika
A
melia
E
ffen
d
i
)
1833
Fig
u
r
e
2
.
Pro
p
o
s
ed
m
et
h
o
d
3
.
1
.
Co
llect
ing
e
v
ent
lo
g
s
I
n
th
is
s
tu
d
y
,
ev
e
n
t
lo
g
s
wer
e
co
llected
f
r
o
m
R
MA
b
u
s
in
ess
p
r
o
ce
s
s
in
a
wir
eless
d
is
tr
ib
u
tio
n
co
m
p
an
y
,
Su
r
ab
a
y
a,
I
n
d
o
n
esi
a.
E
v
en
t
lo
g
s
wer
e
g
en
e
r
ated
f
r
o
m
2
2
d
ata
(
wh
ich
f
u
r
th
er
wi
ll
b
e
ac
k
n
o
wled
g
e
d
as
ca
s
e)
,
co
n
s
is
tin
g
o
f
ac
tiv
i
ty
,
s
tar
t
tim
estam
p
,
an
d
co
m
p
lete
tim
estam
p
.
Activ
ity
m
ea
n
s
th
e
ev
en
t
o
r
b
u
s
in
ess
p
r
o
ce
s
s
ex
ec
u
ted
i
n
t
h
e
co
m
p
an
y
,
m
ea
n
wh
ile
s
tar
t
an
d
c
o
m
p
lete
tim
estam
p
ar
e
r
elate
d
to
e
x
ec
u
tio
n
tim
e
o
f
ea
ch
ac
tiv
ity
.
3
.
2
.
P
r
o
ce
s
s
dis
co
v
er
y
us
ing
o
rig
ina
l f
uzzy
m
iner
Fu
zz
y
m
in
er
is
ap
p
lied
to
ex
tr
ac
t
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
f
r
o
m
th
e
ev
en
t
lo
g
s
.
Fu
zz
y
m
o
d
el
is
b
ased
o
n
ev
e
n
t
lo
g
s
ex
tr
ac
tio
n
u
s
i
n
g
th
e
o
r
ig
i
n
al
Pro
M
f
u
zz
y
m
in
er
alg
o
r
ith
m
.
T
h
is
m
o
d
el
is
b
ased
o
n
0
.
5
u
tili
za
tio
n
r
atio
,
wh
ich
m
ea
n
s
th
is
m
o
d
el
co
n
s
id
er
s
s
ig
n
if
ican
ce
an
d
c
o
r
r
elatio
n
eq
u
ally
.
Th
e
u
s
e
o
f
f
u
zz
y
m
in
er
f
ea
tu
r
es a
g
g
r
eg
atio
n
a
n
d
ab
s
tr
ac
tio
n
[
5
]
,
[
2
5
]
,
wh
er
e
i
t e
n
ab
les th
e
an
aly
s
t to
h
ig
h
lig
h
t p
ar
ticu
lar
s
u
b
s
et
o
f
ac
tiv
ities
.
Ag
g
r
e
g
atio
n
is
u
s
ed
f
o
r
cl
u
s
ter
in
g
c
o
h
er
en
t,
le
s
s
s
ig
n
if
ican
t
s
tr
u
ctu
r
es.
Ag
g
r
eg
atio
n
is
u
s
ed
t
o
s
im
p
lify
th
e
m
o
d
el.
Me
an
wh
i
le,
ab
s
tr
ac
tio
n
is
u
s
ed
to
r
em
o
v
e
is
o
lated
,
less
s
ig
n
if
ican
t
s
tr
u
ctu
r
es.
T
h
is
is
d
o
n
e
in
p
u
r
p
o
s
e
to
r
em
o
v
e
d
etac
h
ed
n
o
d
es
wh
ich
d
o
esn
’
t
co
n
tr
ib
u
te
s
ig
n
if
ican
tly
to
t
h
e
m
o
d
el,
s
o
th
at
th
e
m
o
d
el
will b
e
s
im
p
lifie
d
.
S
i
m
p
l
i
f
i
c
a
t
i
o
n
f
r
o
m
t
h
e
l
o
g
e
v
e
n
t
s
c
o
u
l
d
b
e
a
p
p
r
o
a
c
h
e
d
b
y
a
n
a
d
a
p
t
i
v
e
s
i
m
p
l
i
f
i
ca
t
i
o
n
f
r
a
m
e
w
o
r
k
[
1
4
]
.
T
h
i
s
a
p
p
r
o
a
c
h
is
b
a
s
e
d
o
n
c
o
n
f
i
g
u
r
a
b
l
e
f
r
a
m
e
w
o
r
k
t
o
m
e
as
u
r
e
s
i
g
n
i
f
i
ca
n
c
e
a
n
d
c
o
r
r
e
l
a
ti
o
n
.
T
h
e
m
e
a
s
u
r
e
m
e
n
t
i
s
d
o
n
e
t
h
r
o
u
g
h
t
h
r
e
e
p
r
i
m
a
r
y
t
y
p
e
s
o
f
m
e
t
r
i
c
s
:
u
n
a
r
y
s
i
g
n
i
f
i
ca
n
c
e
,
b
i
n
a
r
y
s
i
g
n
i
f
i
c
a
n
c
e
,
a
n
d
b
i
n
a
r
y
c
o
r
r
e
l
a
t
i
o
n
.
E
a
c
h
m
e
t
r
i
c
c
o
u
l
d
b
e
b
u
i
lt
d
i
r
ec
t
l
y
f
r
o
m
t
h
e
l
o
g
a
n
d
w
i
ll
l
at
e
r
b
e
u
s
e
d
t
o
d
e
v
e
l
o
p
a
n
d
v
i
s
u
a
li
ze
f
u
z
z
y
m
o
d
e
l
.
Un
ar
y
s
ig
n
if
ican
ce
is
m
ea
s
u
r
ed
b
y
t
h
r
ee
m
etr
ics:
f
r
e
q
u
en
c
y
s
ig
n
if
ican
ce
,
r
o
u
tin
g
s
ig
n
if
i
ca
n
ce
,
an
d
im
p
o
r
tan
ce
s
ig
n
i
f
ican
ce
.
L
ate
r
,
th
o
s
e
v
alu
es
will
b
e
ag
g
r
e
g
ated
in
to
a
g
g
r
e
g
ated
u
n
ar
y
s
ig
n
if
ican
ce
.
B
in
ar
y
s
ig
n
if
ican
ce
is
m
ea
s
u
r
e
d
b
y
t
wo
m
etr
ics,
f
r
eq
u
e
n
cy
s
ig
n
if
ican
ce
an
d
d
is
tan
ce
s
ig
n
if
ican
ce
.
B
in
ar
y
c
o
r
r
elatio
n
is
m
ea
s
u
r
ed
b
y
p
r
o
x
im
ity
co
r
r
elatio
n
,
o
r
ig
in
at
o
r
co
r
r
elatio
n
,
en
d
p
o
i
n
t
co
r
r
elatio
n
,
d
ata
ty
p
e
co
r
r
elatio
n
,
a
n
d
d
ata
v
alu
e
co
r
r
elatio
n
.
T
h
e
o
u
tp
u
t
o
f
th
is
s
tep
is
an
ex
tr
a
cted
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
f
r
o
m
th
e
in
p
u
t
o
f
e
v
en
t
lo
g
s
.
T
h
e
m
in
i
n
g
p
r
o
ce
s
s
is
p
er
f
o
r
m
e
d
with
th
e
h
el
p
o
f
Pro
M
s
o
f
twar
e,
u
s
in
g
f
u
zz
y
m
in
e
r
.
3
.
3
.
M
o
dified
t
im
e
-
ba
s
ed
f
u
zz
y
m
iner
Fu
zz
y
m
in
er
is
u
s
ed
to
ex
tr
ac
t
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
f
r
o
m
th
e
ev
en
t
l
o
g
s
.
T
h
e
o
u
tp
u
t
f
r
o
m
f
u
zz
y
p
r
o
ce
s
s
m
in
in
g
is
a
f
u
zz
y
m
o
d
el
to
ac
co
m
m
o
d
ate
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
in
a
less
-
s
tr
u
ctu
r
ed
en
v
i
r
o
n
m
e
n
t.
T
h
e
p
r
o
p
o
s
ed
m
o
d
i
f
ied
tim
e
-
b
ased
f
u
zz
y
m
in
e
r
co
n
s
id
er
s
d
o
u
b
le
tim
estam
p
o
n
o
cc
u
r
r
in
g
ac
tiv
ities
to
d
eter
m
in
e
th
eir
b
in
ar
y
c
o
r
r
el
atio
n
.
T
h
is
co
r
r
elatio
n
co
u
l
d
b
e
u
s
ed
as
th
e
d
ec
is
io
n
o
f
p
ar
allel
ac
tiv
ities
(
ca
p
tu
r
ed
as
AND
-
s
p
lit
o
r
XO
R
-
s
p
lit
)
.
W
h
er
e
th
e
o
r
ig
in
al
f
u
zz
y
m
in
er
u
s
es
p
r
o
x
im
ity
co
r
r
elatio
n
,
o
r
ig
i
n
ato
r
co
r
r
elatio
n
,
e
n
d
p
o
in
t
co
r
r
elati
o
n
,
d
ata
ty
p
e
co
r
r
elatio
n
,
an
d
d
ata
v
alu
e
co
r
r
elatio
n
to
ev
alu
ate
co
r
r
elate
d
ev
en
t
class
es
th
at
o
cc
u
r
o
n
e
af
ter
an
o
th
er
,
th
is
r
u
le
co
u
ld
ac
co
m
m
o
d
ate
ev
en
t
class
es
th
at
o
c
cu
r
s
im
u
ltan
eo
u
s
ly
b
ased
o
n
th
ei
r
in
ter
v
al
f
r
o
m
m
o
s
t
r
ec
en
t
p
r
ec
e
d
in
g
ac
tiv
it
y
en
d
in
g
tim
estam
p
an
d
cu
r
r
en
t
ac
tiv
ity
s
tar
tin
g
tim
estam
p
.
I
n
ter
v
al
s
ig
n
if
ica
n
ce
ass
ig
n
s
th
e
v
alu
e
o
f
s
ig
n
if
ican
ce
=1
to
th
e
r
elatio
n
with
s
m
allest
m
ea
n
in
ter
v
al.
T
h
e
o
th
er
r
elatio
n
in
ter
v
al
s
ig
n
if
ican
t
co
u
ld
b
e
m
e
asu
r
ed
in
r
elativ
e
to
th
e
s
m
allest
in
ter
v
al,
wh
ich
ex
p
lain
ed
b
y
(
5
)
.
.
.
=
1
−
(
5
)
Fu
n
d
am
e
n
tal
m
e
tr
i
cs
t
o
d
ec
i
d
e
o
n
a
b
s
t
r
ac
ti
o
n
o
r
a
g
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r
eg
ati
o
n
ar
e
s
i
g
n
if
ica
n
ce
a
n
d
c
o
r
r
e
lati
o
n
m
etr
ics
.
T
h
e
o
p
ti
o
n
s
a
r
e
p
r
ese
r
v
in
g
e
v
e
r
y
h
i
g
h
l
y
s
i
g
n
i
f
i
ca
n
t
b
eh
av
io
r
an
d
o
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itt
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g
less
s
i
g
n
if
i
ca
n
t
an
d
less
co
r
r
el
at
ed
b
e
h
a
v
i
o
r
.
3
.
4
.
Co
nf
o
rma
nce
chec
k
ing
ev
a
lu
a
t
io
n
T
h
e
f
i
n
a
l
s
t
e
p
o
f
t
h
is
r
e
s
ea
r
c
h
i
s
t
o
e
v
al
u
a
t
e
b
u
s
i
n
e
s
s
p
r
o
c
ess
m
o
d
e
l
c
a
p
t
u
r
e
d
f
r
o
m
b
o
t
h
a
lg
o
r
i
t
h
m
s
.
T
h
i
s
e
v
al
u
a
t
i
o
n
i
s
d
o
n
e
t
h
r
o
u
g
h
t
h
e
m
e
as
u
r
e
m
e
n
t
o
f
c
o
n
f
o
r
m
a
n
c
e
c
h
e
c
k
i
n
g
.
C
o
n
f
o
r
m
a
n
c
e
ch
e
c
k
i
n
g
e
v
a
l
u
a
t
i
o
n
c
o
n
s
i
s
t
s
o
f
f
it
n
e
s
s
v
a
l
u
e
,
p
r
e
c
is
i
o
n
v
a
l
u
e
,
s
i
m
p
li
c
i
t
y
v
al
u
e
,
a
n
d
g
e
n
e
r
a
l
i
z
a
ti
o
n
v
a
l
u
e
b
y
u
s
i
n
g
(
1
)
-
(
4
)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
,
Vo
l.
1
9
,
No
.
6
,
Decem
b
e
r
2
0
2
1
:
183
0
-
18
39
1834
4.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
T
h
e
r
esu
lts
o
f
r
esear
ch
u
s
in
g
im
p
r
o
v
e
d
f
u
zz
y
m
in
er
we
r
e
ex
p
lain
ed
in
th
is
s
ec
tio
n
.
E
v
e
n
t
lo
g
s
u
s
ed
in
th
is
r
esear
ch
ar
e
s
h
o
wn
i
n
T
ab
le
1
.
E
v
en
t
lo
g
s
co
n
s
is
t
o
f
n
u
m
b
er
o
f
ca
s
es,
n
am
e
o
f
ac
tiv
ity
,
s
tar
t
tim
estam
p
,
an
d
co
m
p
lete
tim
e
s
tam
p
.
B
ased
o
n
d
ata
p
r
esen
ted
in
T
ab
le
1
,
we
k
n
o
w
t
h
at
s
tan
d
ar
d
o
p
er
atin
g
p
r
o
ce
d
u
r
e
(
SOP)
b
eg
in
s
with
ac
tiv
ity
R
MA
r
eq
u
est
f
r
o
m
cu
s
to
m
er
an
d
en
d
s
with
C
r
ea
tin
g
d
eliv
er
y
o
r
d
er
.
B
ased
o
n
ev
en
t lo
g
s
f
r
o
m
T
ab
le
1
,
we
d
ev
el
o
p
ed
t
h
e
b
u
s
in
es
s
p
r
o
ce
s
s
o
f
R
MA
as sh
o
wn
in
Fig
u
r
e
3.
T
h
e
im
p
lem
en
tatio
n
o
f
th
is
r
esear
ch
was
s
tar
ted
b
y
u
s
in
g
Pro
M
s
o
f
twar
e.
Firstl
y
,
th
e
s
am
e
ev
en
t
lo
g
s
f
r
o
m
T
a
b
le
1
wer
e
u
s
ed
an
d
s
ec
o
n
d
ly
,
th
ey
wer
e
p
r
o
ce
s
s
ed
d
ir
ec
tly
b
y
Pro
M
6
.
9
with
f
u
zz
y
m
in
e
r
alg
o
r
ith
m
.
T
h
e
r
esu
lts
o
f
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
p
r
esen
te
d
in
Fig
u
r
e
4
.
T
h
e
s
am
e
way
was
ap
p
lied
f
o
r
im
p
r
o
v
e
d
f
u
zz
y
alg
o
r
ith
m
.
E
v
en
t
lo
g
s
in
T
ab
le
1
wer
e
r
u
n
an
d
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
was
g
en
er
ated
b
y
u
s
in
g
o
u
r
s
y
s
tem
wh
ich
s
h
o
wn
in
Fig
u
r
e
5
(
s
ee
Ap
p
en
d
ix
)
.
B
ased
o
n
Fig
u
r
e
4
an
d
Fig
u
r
e
5
we
ca
n
co
n
clu
d
e
th
at
o
u
r
p
r
o
p
o
s
ed
alg
o
r
ith
m
d
o
es n
o
t c
o
n
tain
lo
o
p
an
d
e
x
ec
u
ted
s
eq
u
en
tially
.
T
ab
le
1
.
Par
t o
f
ev
en
t l
o
g
s
f
r
o
m
R
MA
b
u
s
in
ess
p
r
o
ce
s
s
in
a
wir
eless
d
is
tr
ib
u
tio
n
co
m
p
an
y
C
a
se
A
c
t
i
v
i
t
y
S
t
a
r
t
Ti
mes
t
a
m
p
C
o
m
p
l
e
t
e
Ti
mes
t
a
m
p
C
a
se
A
c
t
i
v
i
t
y
S
t
a
r
t
Ti
mes
t
a
m
p
C
o
m
p
l
e
t
e
Ti
mes
t
a
m
p
1
R
e
q
u
e
st
R
M
A
f
r
o
m
C
u
s
t
o
mer
1
/
3
1
/
1
8
8
:
0
0
A
M
1
/
3
1
/
1
8
8
:
0
4
A
M
2
R
e
q
u
e
st
R
M
A
f
r
o
m
C
u
s
t
o
mer
1
/
3
1
/
1
8
9
:
0
0
A
M
1
/
3
1
/
1
8
9
:
0
6
AM
1
D
e
v
i
c
e
st
a
t
u
s
c
h
e
c
k
i
n
g
1
/
3
1
/
1
8
8
:
0
4
A
M
1
/
3
1
/
1
8
8
:
0
6
A
M
2
D
e
v
i
c
e
st
a
t
u
s
c
h
e
c
k
i
n
g
1
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1
/
1
8
9
:
0
6
A
M
1
/
3
1
/
1
8
9
:
0
8
AM
1
W
a
r
r
a
n
t
y
st
a
t
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s
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n
f
o
1
/
3
1
/
1
8
8
:
0
6
A
M
1
/
3
1
/
1
8
8
:
1
0
A
M
2
W
a
r
r
a
n
t
y
st
a
t
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s
i
n
f
o
1
/
3
1
/
1
8
9
:
0
8
A
M
1
/
3
1
/
1
8
9
:
1
2
AM
1
C
r
e
a
t
i
n
g
ser
v
i
c
e
r
e
c
e
i
p
t
1
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3
1
/
1
8
8
:
1
0
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M
1
/
3
1
/
1
8
8
:
1
8
A
M
2
C
r
e
a
t
i
n
g
ser
v
i
c
e
r
e
c
e
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p
t
1
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3
1
/
1
8
9
:
1
2
A
M
1
/
3
1
/
1
8
9
:
1
7
AM
1
C
r
e
a
t
i
n
g
R
M
A
r
e
g
i
s
t
r
a
t
i
o
n
f
o
r
m
1
/
3
1
/
1
8
8
:
1
8
A
M
1
/
3
1
/
1
8
8
:
2
3
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M
2
C
r
e
a
t
i
n
g
R
M
A
r
e
g
i
s
t
r
a
t
i
o
n
f
o
r
m
1
/
3
1
/
1
8
9
:
1
7
A
M
1
/
3
1
/
1
8
9
:
2
0
AM
1
S
u
b
m
i
t
d
e
v
i
c
e
t
o
t
e
c
h
n
i
c
i
a
n
1
/
3
1
/
1
8
8
:
2
3
A
M
1
/
3
1
/
1
8
8
:
3
0
A
M
2
S
u
b
m
i
t
d
e
v
i
c
e
t
o
t
e
c
h
n
i
c
i
a
n
1
/
3
1
/
1
8
9
:
2
0
A
M
1
/
3
1
/
1
8
9
:
2
8
AM
1
S
e
r
v
i
c
e
1
/
3
1
/
1
8
8
:
3
0
A
M
1
/
3
1
/
1
8
1
0
:
3
0
A
M
2
S
e
r
v
i
c
e
1
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3
1
/
1
8
9
:
2
8
A
M
1
/
3
1
/
1
8
1
:
2
8
PM
1
C
h
e
c
k
i
n
g
ser
v
i
c
e
r
e
su
l
t
1
/
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1
/
1
8
1
0
:
3
0
A
M
1
/
3
1
/
1
8
1
0
:
3
5
A
M
2
C
h
e
c
k
i
n
g
ser
v
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c
e
r
e
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l
t
1
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3
1
/
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8
1
:
2
8
P
M
1
/
3
1
/
1
8
1
:
4
0
PM
1
C
a
l
c
u
l
a
t
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n
g
c
h
a
r
g
e
1
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3
1
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1
8
1
0
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0
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M
1
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1
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8
1
1
:
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M
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a
l
c
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h
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M
1
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1
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1
8
1
:
4
5
PM
1
C
r
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t
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n
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ser
v
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c
e
q
u
o
t
a
t
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n
1
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3
1
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1
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1
1
:
0
0
A
M
1
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3
1
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1
8
1
1
:
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3
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M
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r
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t
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d
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l
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v
e
r
y
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r
1
/
3
1
/
1
8
1
:
4
5
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M
1
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3
1
/
1
8
1
:
5
0
PM
1
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r
e
a
t
i
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g
b
i
l
l
1
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3
1
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1
8
1
1
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3
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M
1
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3
1
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8
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1
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M
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r
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t
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v
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r
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1
1
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M
1
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1
1
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2
0
A
M
Fig
u
r
e
3
.
B
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
o
f
R
MA
T
ab
le
2
an
d
T
a
b
le
3
e
x
p
lain
th
e
p
r
o
p
o
s
ed
m
o
d
if
ie
d
tim
e
-
b
ased
f
u
zz
y
m
in
e
r
co
n
s
id
er
i
n
g
d
o
u
b
le
tim
estam
p
o
n
o
cc
u
r
r
in
g
ac
tiv
i
ties
to
d
eter
m
i
n
e
th
eir
b
i
n
ar
y
co
r
r
elatio
n
.
T
ab
le
2
p
r
esen
ts
ex
am
p
le
o
f
d
o
u
b
le
tim
estam
p
ev
en
t
lo
g
,
m
ea
n
w
h
ile
T
ab
le
3
is
ab
o
u
t
tim
e
in
t
er
v
al
s
ig
n
if
ican
ce
.
B
ased
o
n
T
ab
le
2
,
we
g
et
t
h
e
in
f
o
r
m
atio
n
th
at
ac
tiv
ity
A,
B
,
C
,
D
ar
e
ex
ec
u
ted
f
o
r
ab
o
u
t
2
,
4
,
4
,
4
m
in
u
tes
r
esp
ec
tiv
ely
.
On
th
e
o
th
er
h
an
d
,
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
I
mp
r
o
ve
d
fu
z
z
y
min
er a
lg
o
r
ith
m
fo
r
b
u
s
in
ess
p
r
o
ce
s
s
d
is
co
v
ery
(
Yu
tika
A
melia
E
ffen
d
i
)
1835
f
r
o
m
T
ab
le
3
,
th
e
d
ata
e
x
p
lain
ed
th
at
ac
tiv
ity
B
is
p
r
o
ce
s
s
ed
d
ir
ec
tly
with
o
u
t
tim
e
in
te
r
v
al
af
ter
a
ctiv
ity
A
is
d
o
n
e,
d
if
f
er
e
n
t
with
ac
tiv
ity
B
to
C
an
d
ac
tiv
ity
C
to
D
wh
ich
h
av
e
tim
e
i
n
ter
v
al.
T
h
is
also
ap
p
lies
to
s
ig
n
if
ican
ce
o
f
ac
tiv
ity
A,
B
,
C
,
D.
Fig
u
r
e
4
.
Or
ig
i
n
al
f
u
zz
y
m
o
d
e
l
T
ab
le
2
.
E
x
am
p
le
o
f
d
o
u
b
le
ti
m
estam
p
lo
g
A
c
t
i
v
i
t
y
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t
a
r
t
Ti
m
e
st
a
m
p
C
o
m
p
l
e
t
e
T
i
mes
t
a
m
p
A
8
:
0
0
8
:
0
2
B
8
:
0
2
8
:
0
6
C
8
:
0
8
8
:
1
2
D
8
:
1
6
8
:
2
0
T
ab
le
3
.
T
im
e
i
n
ter
v
al
s
ig
n
if
ic
an
ce
P
r
e
c
e
d
i
n
g
R
e
l
a
t
i
o
n
A
B
B
C
C
D
I
n
t
e
r
v
a
l
0
2
4
S
i
g
n
i
f
i
c
a
n
c
e
1
.
0
0
0
.
5
0
0
.
2
5
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
,
Vo
l.
1
9
,
No
.
6
,
Decem
b
e
r
2
0
2
1
:
183
0
-
18
39
1836
T
h
e
ca
lcu
latio
n
r
esu
lts
f
o
r
ea
ch
m
etr
ic
c
o
u
ld
b
e
s
ee
n
o
n
T
ab
le
4
.
W
e
u
s
e
(
5
)
to
d
o
i
n
ter
v
al
s
ig
n
if
ican
ce
.
T
ab
le
5
(
s
ee
Ap
p
en
d
i
x
)
ex
p
lain
s
th
e
d
ec
is
io
n
f
o
r
ea
ch
r
elatio
n
o
f
ac
tiv
it
y
b
ased
o
n
b
in
ar
y
s
ig
n
if
ican
ce
an
d
c
o
r
r
elatio
n
wh
eth
er
th
ey
ar
e
p
r
eser
v
ed
o
r
o
m
itted
in
a
n
ew
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
o
f
a
co
m
p
an
y
.
Af
ter
th
e
im
p
lem
en
tatio
n
was
d
o
n
e,
th
e
f
i
n
al
s
tep
in
o
u
r
r
esear
ch
is
co
n
f
o
r
m
ac
e
c
h
ec
k
in
g
ev
alu
atio
n
.
T
h
is
s
tep
is
im
p
o
r
tan
t
to
k
n
o
w
th
at
o
u
r
p
r
o
p
o
s
ed
m
eth
o
d
p
r
o
v
id
es
b
etter
r
esu
lt
th
an
th
at
o
f
o
r
ig
i
n
al
f
u
zz
y
m
in
er
.
W
e
u
s
e
(
1
)
,
(
2
)
,
(
3
)
,
(
4
)
t
o
ca
lc
u
late
f
itn
ess
v
alu
e,
s
im
p
licit
y
,
p
r
e
cisi
o
n
,
an
d
g
en
er
aliza
tio
n
v
alu
e
f
r
o
m
b
o
t
h
alg
o
r
ith
m
s
.
T
h
e
r
esu
lts
o
f
th
e
co
n
f
o
r
m
a
n
ce
ch
ec
k
in
g
ar
e
d
escr
ib
ed
in
T
ab
le
6
.
T
h
e
m
o
d
if
ied
tim
e
-
b
ased
f
u
zz
y
m
in
er
alg
o
r
ith
m
s
h
o
ws
th
at
th
e
co
n
f
o
r
m
an
ce
ch
ec
k
in
g
v
alu
e
ar
e
b
etter
th
an
t
h
e
o
r
ig
in
al
f
u
zz
y
m
in
e
r
p
r
o
ce
s
s
ed
u
s
in
g
Pro
M
s
o
f
twar
e.
T
h
is
is
ca
u
s
ed
b
y
th
e
m
o
d
if
icatio
n
o
n
b
in
a
r
y
co
r
r
elatio
n
b
etwe
en
ac
tiv
ities
,
wh
ich
tak
es
tim
e
i
n
ter
v
al
f
r
o
m
co
m
p
lete
tim
estam
p
an
d
s
t
ar
t
tim
estam
p
in
to
ac
co
u
n
t.
S
p
ec
if
ically
,
b
ased
o
n
T
ab
le
6
,
we
ca
n
co
n
clu
d
e
th
at
o
u
r
im
p
r
o
v
ed
f
u
zz
y
m
i
n
er
alg
o
r
ith
m
h
as
h
ig
h
er
p
r
ec
is
io
n
v
alu
e
an
d
g
en
er
aliza
tio
n
v
alu
e
th
a
n
th
at
o
f
o
r
ig
in
al
f
u
zz
y
m
in
er
m
ea
n
wh
ile
f
itn
ess
v
alu
e
an
d
s
im
p
licity
v
alu
e
ar
e
s
till
th
e
s
am
e.
T
ab
le
4
.
B
in
ar
y
f
r
eq
u
en
cy
s
ig
n
if
ican
ce
#
R
e
l
a
t
i
o
n
F
r
e
q
u
e
n
c
y
B
i
n
a
r
y
S
i
g
n
i
f
i
c
a
n
c
e
#
R
e
l
a
t
i
o
n
F
r
e
q
u
e
n
c
y
B
i
n
a
r
y
S
i
g
n
i
f
i
c
a
n
c
e
1
A
B
22
1
.
0
0
15
N
O
3
0
.
1
4
2
B
C
22
1
.
0
0
16
O
P
1
0
.
0
5
3
C
D
22
1
.
0
0
17
O
L
2
0
.
0
9
4
D
E
22
1
.
0
0
18
M
Q
12
0
.
5
5
5
E
F
22
1
.
0
0
19
Q
R
6
0
.
2
7
6
F
G
22
1
.
0
0
20
R
S
3
0
.
1
4
7
G
H
22
1
.
0
0
21
S
T
6
0
.
2
7
8
H
I
6
0
.
2
7
22
R
U
2
0
.
0
9
9
I
J
2
0
.
0
9
23
U
S
4
0
.
1
8
10
J
K
2
0
.
0
9
24
Q
V
6
0
.
2
7
11
K
L
3
0
.
1
4
25
V
U
3
0
.
1
4
12
I
L
4
0
.
1
8
26
V
W
3
0
.
1
4
13
H
M
15
0
.
6
8
27
U
W
3
0
.
1
4
14
M
N
3
0
.
1
4
28
W
T
6
0
.
2
7
T
ab
le
6
.
C
o
n
f
o
r
m
a
n
ce
ch
ec
k
i
n
g
ev
alu
atio
n
A
l
g
o
r
i
t
h
ms
C
o
n
f
o
r
m
a
n
c
e
C
h
e
c
k
i
n
g
Ev
a
l
u
a
t
i
o
n
F
i
t
n
e
ss
P
r
e
c
i
s
i
o
n
S
i
mp
l
i
c
i
t
y
G
e
n
e
r
a
l
i
z
a
t
i
o
n
O
r
i
g
i
n
a
l
F
u
z
z
y
M
i
n
e
r
1
.
0
0
0
.
8
2
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.
0
0
0
.
9
2
M
o
d
i
f
i
e
d
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i
me
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b
a
s
e
d
F
u
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z
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M
i
n
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r
1
.
0
0
1
.
0
0
1
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0
0
0
.
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4
5.
CO
NCLU
SI
O
N
T
h
is
r
esear
ch
p
r
o
p
o
s
es
a
m
o
d
if
icatio
n
o
f
f
u
zz
y
m
in
er
alg
o
r
ith
m
c
o
n
s
id
er
in
g
tim
e
i
n
ter
v
al
to
r
ep
r
esen
t
b
in
a
r
y
c
o
r
r
elatio
n
b
etwe
en
ac
tiv
ities
.
T
h
is
im
p
r
o
v
ed
alg
o
r
ith
m
u
tili
ze
s
b
in
ar
y
s
ig
n
if
ican
ce
a
n
d
b
in
ar
y
co
r
r
elatio
n
eq
u
ally
to
a
cq
u
ir
e
f
u
zz
y
m
o
d
el
to
m
o
d
el
b
u
s
in
ess
p
r
o
ce
s
s
.
W
h
ile
th
e
o
r
ig
in
al
f
u
zz
y
m
i
n
e
r
alg
o
r
ith
m
u
s
es
v
ar
io
u
s
b
i
n
ar
y
co
r
r
elatio
n
m
etr
ics,
th
e
im
p
r
o
v
ed
f
u
zz
y
m
in
er
alg
o
r
ith
m
u
s
es
o
n
ly
o
n
e
m
etr
ic
an
d
co
u
ld
ca
p
tu
r
e
th
e
f
u
zz
y
m
o
d
el,
ac
cu
r
ately
b
ased
o
n
th
e
e
v
en
t lo
g
s
.
T
o
p
r
o
v
e
o
u
r
p
r
o
p
o
s
ed
alg
o
r
ith
m
wo
r
k
ed
,
a
co
m
p
ar
is
o
n
b
etwe
en
o
r
ig
in
al
f
u
zz
y
m
i
n
er
wh
ich
m
o
d
eled
with
Pro
M
s
o
f
twar
e
an
d
tim
e
-
b
ased
f
u
zz
y
m
in
er
a
lg
o
r
ith
m
wer
e
d
o
n
e
.
T
h
e
r
esu
lts
s
h
o
wed
th
at
th
e
im
p
r
o
v
e
d
alg
o
r
ith
m
h
as
h
ig
h
e
r
v
alu
e
o
n
co
n
f
o
r
m
an
ce
c
h
ec
k
in
g
a
n
d
ab
le
to
ca
p
tu
r
e
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
b
ased
o
n
tim
e
i
n
ter
v
al,
b
y
u
s
in
g
o
n
l
y
tim
e
-
in
ter
v
al
s
ig
n
if
i
ca
n
ce
as
a
b
in
ar
y
co
r
r
elatio
n
m
etr
ics.
T
h
is
also
s
tated
th
at
th
e
p
r
o
p
o
s
ed
alg
o
r
i
th
m
co
u
ld
d
ep
ict
th
e
tr
ac
es
in
th
e
b
u
s
in
ess
p
r
o
ce
s
s
p
r
ec
is
ely
.
T
h
e
lim
itatio
n
o
f
th
is
s
tu
d
y
is
t
h
at
th
e
p
r
o
p
o
s
ed
m
eth
o
d
is
o
n
ly
a
b
le
to
g
en
er
a
te
b
u
s
in
ess
p
r
o
ce
s
s
m
o
d
el
wel
l
with
o
u
t
k
n
o
win
g
th
o
s
e
ar
e
XOR,
O
R
,
A
ND
p
a
r
allel
in
ter
m
s
o
f
p
ar
allel
r
elat
io
n
.
I
n
o
r
d
er
to
o
v
er
c
o
m
e
th
is
lim
itatio
n
,
we
ar
e
p
lan
n
in
g
to
cr
ea
te
s
o
m
e
t
h
r
esh
o
ld
s
lik
e
m
o
d
if
ie
d
alp
h
a
m
in
er
an
d
m
o
d
if
ied
h
eu
r
is
tics
m
in
er
alg
o
r
ith
m
d
id
.
ACK
NO
WL
E
DG
E
M
E
NT
S
T
h
is
r
esear
ch
is
s
u
p
p
o
r
ted
b
y
C
o
m
p
u
ter
L
ab
o
r
ato
r
y
,
F
ac
u
lty
o
f
Ad
v
an
ce
d
T
ec
h
n
o
lo
g
y
an
d
Mu
ltid
is
cip
lin
e,
Un
iv
er
s
itas
Air
lan
g
g
a
an
d
De
p
ar
tm
en
t
o
f
I
n
f
o
r
m
atics,
I
n
s
titu
t
T
ek
n
o
lo
g
i
Sep
u
l
u
h
No
p
em
b
er
.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
I
mp
r
o
ve
d
fu
z
z
y
min
er a
lg
o
r
ith
m
fo
r
b
u
s
in
ess
p
r
o
ce
s
s
d
is
co
v
ery
(
Yu
tika
A
melia
E
ffen
d
i
)
1837
AP
P
E
NDI
X
Fig
u
r
e
5
.
Mo
d
if
ied
f
u
zz
y
m
o
d
el
A
B
C
D
E
F
G
H
I
M
J
N
Q
K
O
V
R
L
P
U
W
T
S
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
,
Vo
l.
1
9
,
No
.
6
,
Decem
b
e
r
2
0
2
1
:
183
0
-
18
39
1838
T
ab
le
5
.
R
esu
lts
f
o
r
b
in
a
r
y
s
ig
n
if
ican
ce
an
d
co
r
r
elatio
n
#
A
c
t
i
v
i
t
y
S
i
g
n
i
f
i
c
a
n
c
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Evaluation Warning : The document was created with Spire.PDF for Python.
T
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e
s
s
M
o
d
e
ls
u
si
n
g
M
o
d
if
ied
Ti
m
e
-
b
a
se
d
He
u
rist
ics
M
in
e
r
Alg
o
rit
h
m
,
"
IE
EE
Co
n
fer
e
n
c
e
o
n
S
u
st
a
in
a
b
le
Util
iza
t
io
n
a
n
d
De
v
e
lo
p
me
n
t
in
E
n
g
i
n
e
e
rin
g
a
n
d
T
e
c
h
n
o
l
o
g
ies
,
2
0
1
9
,
p
p
.
8
1
-
8
6
,
d
o
i
:
1
0
.
1
1
0
9
/CS
UD
ET
4
7
0
5
7
.
2
0
1
9
.
9
2
1
4
7
6
7
.
[8
]
E.
Kim
e
t
a
l.
,
"
Disc
o
v
e
r
y
o
f
o
u
tp
a
ti
e
n
t
c
a
re
p
ro
c
e
ss
o
f
a
terti
a
ry
u
n
iv
e
rsit
y
h
o
sp
i
tal
u
si
n
g
p
r
o
c
e
ss
m
in
in
g
,
"
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a
lt
h
c
a
re
in
fo
rm
a
t
ics
re
se
a
rc
h
,
v
o
l.
1
9
,
n
o
.
1
,
p
p
.
4
2
–
4
9
,
2
0
1
3
,
d
o
i:
1
0
.
4
2
5
8
/
h
ir.
2
0
1
3
.
1
9
.
1
.
4
2
.
[9
]
A.
Ce
c
c
o
n
i,
G
.
D.
G
ia
c
o
m
o
,
C.
D.
Cicc
io
,
F
.
M
.
M
a
g
g
i
,
a
n
d
J.
M
e
n
d
li
n
g
,
"
A
Tem
p
o
ra
l
L
o
g
ic
-
Ba
s
e
d
M
e
a
su
re
m
e
n
t
F
ra
m
e
wo
rk
fo
r
P
ro
c
e
ss
M
i
n
in
g
,
"
2
n
d
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Pro
c
e
ss
M
i
n
i
n
g
(IC
PM
),
2
0
2
0
,
p
p
.
1
1
3
-
1
2
0
,
d
o
i:
1
0
.
1
1
0
9
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M
4
9
6
8
1
.
2
0
2
0
.
0
0
0
2
6
.
[
1
0
]
E
.
P
.
G
u
p
t
a
,
"
P
r
o
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e
s
s
M
i
n
i
n
g
A
C
o
m
p
a
r
a
t
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v
e
S
t
u
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y
,
"
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n
t
e
r
n
a
t
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o
n
a
l
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o
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f
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1
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p
p
.
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,
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2
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4
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d
o
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1
7
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8
/
I
J
A
R
C
C
E
.
2
0
1
4
.
3
1
1
5
4
.
[1
1
]
A.
P
.
K
u
rn
iati
,
G
.
Ku
su
m
a
,
a
n
d
G
.
Wi
su
d
iaw
a
n
,
"
Im
p
lem
e
n
ti
n
g
h
e
u
risti
c
m
in
e
r
fo
r
d
iffere
n
t
ty
p
e
s
o
f
e
v
e
n
t
l
o
g
s,
"
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
A
p
p
li
e
d
En
g
i
n
e
e
rin
g
Res
e
a
rc
h
,
v
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l.
1
1
,
n
o
.
8
,
p
p
5
5
2
3
-
5
5
2
9
,
2
0
1
6
.
[1
2
]
S
.
G
o
e
d
e
rti
e
r,
J.
d
e
Wee
rd
t,
D
.
M
a
rten
s,
J.
Va
n
th
ien
e
n
,
a
n
d
B.
Ba
e
se
n
s,
"
P
ro
c
e
ss
d
isc
o
v
e
ry
in
e
v
e
n
t
lo
g
s:
An
a
p
p
li
c
a
ti
o
n
i
n
th
e
tele
c
o
m
in
d
u
stry
,
"
A
p
p
li
e
d
S
o
ft
C
o
mp
u
ti
n
g
J
o
u
rn
a
l,
v
o
l.
1
1
,
n
o
.
2
,
p
p
.
1
6
9
7
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7
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0
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2
0
1
1
,
d
o
i:
1
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0
1
6
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.
a
so
c
.
2
0
1
0
.
0
4
.
0
2
5
.
[1
3
]
C.
W.
G
ü
n
th
e
r,
"
P
ro
c
e
ss
m
in
in
g
i
n
flex
ib
le
e
n
v
ir
o
n
m
e
n
ts,
"
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m
p
u
ter
S
c
ien
c
e
,
Tec
h
n
isc
h
e
Un
iv
e
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e
it
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n
d
h
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v
e
n
,
2
0
0
9
,
d
o
i:
1
0
.
6
1
0
0
/IR
6
4
4
3
3
5
.
[1
4
]
S
.
Al
-
F
e
d
a
g
h
i
a
n
d
F
.
M
a
h
d
i
,
"
E
v
e
n
ts
Clas
sifica
ti
o
n
i
n
L
o
g
Au
d
it
,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
Ne
two
r
k
S
e
c
u
rity
&
Its
Ap
p
li
c
a
ti
o
n
s (IJNS
A
),
v
o
l.
2
,
n
o
.
2
,
p
p
.
5
8
-
7
3
,
Ap
r
il
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0
1
0
,
d
o
i:
1
0
.
5
1
2
1
/i
j
n
sa
.
2
0
1
0
.
2
2
0
5
.
[1
5
]
W.
M
.
P
.
v
a
n
d
e
r
Aa
lst
e
t
a
l.
,
"
B
u
sin
e
ss
p
r
o
c
e
ss
m
in
i
n
g
:
a
n
i
n
d
u
strial
a
p
p
l
i
c
a
ti
o
n
,
"
In
f
o
rm
a
ti
o
n
S
y
ste
ms
,
v
o
l.
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2
,
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o
.
5
,
p
p
.
7
1
3
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,
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0
0
7
,
d
o
i:
1
0
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1
0
1
6
/j
.
is.2
0
0
6
.
0
5
.
0
0
3
.
[1
6
]
J.
Xia
,
"
Au
t
o
m
a
ti
c
d
e
term
in
a
ti
o
n
o
f
g
ra
p
h
sim
p
li
f
ica
ti
o
n
p
a
ra
m
e
ter
v
a
lu
e
s
fo
r
f
u
z
z
y
m
in
e
r,
"
M
a
th
e
ma
t
ics
a
n
d
Co
mp
u
ter
S
c
ien
c
e
,
2
0
1
0
.
[1
7
]
V.
Be
rd
n
ik
o
v
a
n
d
V.
L
o
k
h
in
,
"
S
y
n
t
h
e
sis
o
f
G
u
a
ra
n
tee
d
S
tab
il
i
t
y
Re
g
io
n
s
o
f
a
No
n
sta
ti
o
n
a
r
y
N
o
n
li
n
e
a
r
S
y
ste
m
with
a
F
u
z
z
y
Co
n
tro
l
ler,"
C
ivil
E
n
g
i
n
e
e
rin
g
J
o
u
r
n
a
l
,
v
o
l.
5
,
n
o
.
1
,
p
p
.
1
0
7
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1
6
,
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n
u
a
ry
2
0
1
9
,
d
o
i:
1
0
.
2
8
9
9
1
/ce
j
-
2
0
1
9
-
0
3
0
9
1
2
2
9
.
[1
8
]
S
.
Wad
a
l
k
a
r,
R.
K.
Lad
,
a
n
d
R.
K.
Ja
in
,
"
P
e
rfo
rm
a
n
c
e
As
se
ss
m
e
n
t
o
f
F
le
x
ib
le
P
a
v
e
m
e
n
ts:
F
u
z
z
y
Ev
id
e
n
c
e
Th
e
o
r
y
Ap
p
ro
a
c
h
,
"
Civil
E
n
g
i
n
e
e
rin
g
J
o
u
rn
a
l,
v
o
l
.
6
,
n
o
.
8
,
p
p
.
1
4
9
2
-
1
5
0
2
,
Au
g
u
st
2
0
2
0
,
d
o
i:
1
0
.
2
8
9
9
1
/ce
j
-
2
0
2
0
-
0
3
0
9
1
5
6
2
.
[1
9
]
J.
P
o
tav
i
n
,
N.
Jo
n
g
sw
a
t
,
a
n
d
W.
P
re
m
c
h
a
iswa
d
i,
"
Ap
p
l
y
i
n
g
F
u
z
z
y
-
G
e
n
e
ti
c
m
in
in
g
in
c
o
n
fo
rm
a
n
c
e
a
n
d
d
e
p
e
n
d
e
n
c
y
re
latio
n
s,"
T
e
n
t
h
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
ICT
a
n
d
K
n
o
wled
g
e
En
g
i
n
e
e
rin
g
,
2
0
1
2
,
p
p
.
2
2
8
-
2
3
5
,
d
o
i:
1
0
.
1
1
0
9
/ICT
KE.
2
0
1
2
.
6
4
0
8
5
6
0
.
[
2
0
]
Y
.
A
.
E
f
f
e
n
d
i
a
n
d
F
.
R
e
t
r
i
a
l
i
s
c
a
,
"
T
r
a
n
s
f
o
r
m
i
n
g
T
i
m
e
s
t
a
m
p
o
f
a
C
S
V
D
a
t
a
b
a
s
e
t
o
a
n
E
v
e
n
t
L
o
g
,
"
8
t
h
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
C
o
m
p
u
t
e
r
a
n
d
C
o
m
m
u
n
i
c
a
t
i
o
n
E
n
g
i
n
e
e
r
i
n
g
(
I
C
C
C
E
)
,
2
0
2
1
,
p
p
.
3
6
7
-
3
7
2
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
C
C
E
5
0
0
2
9
.
2
0
2
1
.
9
4
6
7
2
2
6
.
[2
1
]
J.
d
e
Wee
rd
t,
M
.
d
e
Ba
c
k
e
r,
J.
V
a
n
th
ien
e
n
,
a
n
d
B.
Ba
e
se
n
s,
"
A
r
o
b
u
st
F
-
m
e
a
su
re
fo
r
e
v
a
lu
a
ti
n
g
d
is
c
o
v
e
re
d
p
ro
c
e
ss
m
o
d
e
ls,"
IEE
E
S
y
mp
o
si
u
m
o
n
Co
mp
u
t
a
ti
o
n
a
l
In
telli
g
e
n
c
e
a
n
d
Da
ta
M
i
n
in
g
(CIDM
),
2
0
1
1
,
p
p
.
1
4
8
-
1
5
5
,
d
o
i:
1
0
.
1
1
0
9
/CIDM
.
2
0
1
1
.
5
9
4
9
4
2
8
.
[2
2
]
W.
M
.
P
.
v
a
n
d
e
r
Aa
lst,
"
P
r
o
c
e
ss
m
in
in
g
:
d
isc
o
v
e
r
y
,
c
o
n
fo
rm
a
n
c
e
a
n
d
e
n
h
a
n
c
e
m
e
n
t
o
f
b
u
sin
e
ss
p
ro
c
e
ss
e
s,"
S
p
rin
g
e
r
,
2
0
1
1
,
d
o
i:
1
0
.
1
0
0
7
/
9
7
8
-
3
-
6
4
2
-
1
9
3
4
5
-
3
.
[2
3
]
A.
Bu
ra
tt
i
n
,
F
.
M
.
M
a
g
g
i
,
a
n
d
A.
S
p
e
r
d
u
t
i,
"
Co
n
fo
rm
a
n
c
e
c
h
e
c
k
in
g
b
a
se
d
o
n
m
u
lt
i
-
p
e
rsp
e
c
ti
v
e
d
e
c
l
a
ra
ti
v
e
p
r
o
c
e
ss
m
o
d
e
ls,"
Ex
p
e
rt S
y
st.
A
p
p
l.
,
v
o
l
.
6
5
,
p
p
.
1
9
4
-
2
1
1
,
2
0
1
6
,
d
o
i:
1
0
.
1
0
1
6
/j
.
e
sw
a
.
2
0
1
6
.
0
8
.
0
4
0
.
[
2
4
]
V
.
N
a
d
e
r
i
f
a
r
,
S
.
S
a
h
r
a
n
,
a
n
d
Z
.
S
h
u
k
u
r
,
"
A
R
e
v
i
e
w
o
n
C
o
n
f
o
r
m
a
n
c
e
C
h
e
c
k
i
n
g
T
e
c
h
n
i
q
u
e
f
o
r
t
h
e
E
v
a
l
u
a
t
i
o
n
o
f
P
r
o
c
e
s
s
M
i
n
i
n
g
A
l
g
o
r
i
t
h
m
s
,
"
T
E
M
J
o
u
r
n
a
l
,
v
o
l
.
8
,
n
o
.
4
,
p
p
.
1
2
3
2
-
1
2
4
1
,
N
o
v
e
m
b
e
r
2
0
1
9
,
d
o
i
:
1
0
.
1
8
4
2
1
/
T
E
M
8
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