I
nte
rna
t
io
na
l J
o
urna
l o
f
Appl
ied P
o
wer
E
ng
i
neer
ing
(
I
J
AP
E
)
Vo
l.
10
,
No
.
3
,
Sep
tem
b
er
2
0
2
1
,
p
p
.
2
3
0
~
2
4
3
I
SS
N:
2252
-
8
7
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,
DOI
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1
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1
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e.
v
1
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i
3
.
p
p
2
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-
243
230
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
a
p
e.
ia
esco
r
e.
co
m
Ra
nking
of hydro
po
wer proje
cts ba
sed o
n susta
ina
bil
ity crite
ria
in India
using
mu
lticriteria
decisio
n ma
king
method
s
Anuja
Sh
a
k
t
a
wa
t
1
,
Sh
elly
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a
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a
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c
h
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Re
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g
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Eff
icie
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Na
ti
o
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l
In
st
it
u
te
o
f
Ku
ru
k
sh
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tra,
Ku
r
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h
e
tra,
Ha
ry
a
n
a
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In
d
ia
2
De
p
a
rtme
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o
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El
e
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ti
o
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Ku
ru
k
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tra,
Ku
ru
k
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Ha
ry
a
n
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In
d
ia
Art
icle
I
nfo
AB
S
T
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T
A
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ticle
his
to
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y:
R
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ed
Feb
12
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2
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ev
is
ed
Mar
6
,
2
0
21
Acc
ep
ted
J
u
n
1
6
,
2
0
21
As
se
ss
m
e
n
t
o
f
h
y
d
ro
p
o
we
r
p
ro
je
c
ts
with
re
sp
e
c
t
t
o
s
u
sta
in
a
b
i
li
ty
c
rit
e
ria
is
a
m
u
lt
id
ime
n
si
o
n
a
l
a
n
d
a
c
o
m
p
lex
issu
e
th
a
t
d
e
c
isio
n
m
a
k
e
rs
u
s
u
a
ll
y
fa
c
e
d
u
ri
n
g
p
lan
n
i
n
g
p
ro
c
e
ss
.
I
n
h
y
d
r
o
p
o
we
r
p
r
o
jec
ts,
i
t
is
imp
o
rtan
t
t
o
c
o
n
sid
e
r
tec
h
n
ica
l,
e
n
v
iro
n
m
e
n
tal
a
n
d
s
o
c
ial
p
a
ra
m
e
ters
in
ste
a
d
o
f
p
u
re
ly
e
c
o
n
o
m
ic
o
n
e
s
f
o
r
su
sta
i
n
a
b
il
i
ty
a
ss
e
ss
m
e
n
t
a
n
d
d
e
c
isio
n
m
a
k
i
n
g
.
M
u
lt
i
-
c
rit
e
ria
d
e
c
isio
n
m
a
k
in
g
(M
CDM)
m
e
th
o
d
s
o
ffe
r
a
p
ra
c
ti
c
a
l
a
p
p
ro
a
c
h
t
o
a
p
ro
b
lem
h
a
v
in
g
c
o
n
fli
c
ti
n
g
c
rit
e
ria.
T
h
e
flex
ib
il
it
y
t
o
c
o
n
sid
e
r
se
v
e
ra
l
c
r
it
e
ria
a
n
d
o
b
jec
ti
v
e
s
sim
u
l
tan
e
o
u
sly
m
a
d
e
M
CDM
m
e
th
o
d
s
we
ll
a
c
c
e
p
ted
i
n
th
e
f
ield
o
f
e
n
e
rg
y
p
lan
n
in
g
.
Th
is
p
a
p
e
r
a
ims
fo
r
a
p
p
li
c
a
b
il
it
y
o
f
M
CD
M
m
e
th
o
d
s
wh
ich
will
fa
c
il
it
a
te
th
e
d
e
c
isio
n
m
a
k
e
rs
to
se
lec
t
th
e
m
o
st
su
sta
in
a
b
le
h
y
d
ro
p
o
we
r
p
ro
jec
ts
b
y
m
a
k
i
n
g
re
a
l
a
n
d
lo
g
ica
l
c
h
o
ice
s
b
a
se
d
o
n
v
a
rio
u
s
su
sta
in
a
b
il
it
y
c
rit
e
ria.
F
o
r
c
o
m
p
re
h
e
n
siv
e
l
y
ra
n
k
h
y
d
ro
p
o
we
r
p
ro
jec
ts
o
f
In
d
ian
re
g
i
o
n
b
a
se
d
o
n
su
sta
i
n
a
b
il
it
y
c
rit
e
ria
f
o
u
r
M
CDM
m
e
th
o
d
s
a
re
a
p
p
li
e
d
i.
e
.
,
a
n
a
ly
ti
c
h
iera
rc
h
y
p
ro
c
e
ss
(AH
P
),
tec
h
n
i
q
u
e
fo
r
o
rd
e
r
o
f
p
re
f
e
re
n
c
e
b
y
sim
il
a
rit
y
to
id
e
a
l
so
lu
ti
o
n
(
T
OPS
IS
)
,
p
re
fe
re
n
c
e
ra
n
k
in
g
o
rg
a
n
iza
ti
o
n
m
e
th
o
d
f
o
r
e
n
ric
h
m
e
n
t
e
v
a
lu
a
ti
o
n
s
(P
ROME
THE
E
II)
a
n
d
e
li
m
in
a
ti
o
n
a
n
d
c
h
o
ice
tra
n
sla
ti
n
g
re
a
li
t
y
(E
LE
CTRE
III).
To
e
n
su
re
b
e
tt
e
r
d
e
c
isio
n
m
a
k
in
g
th
e
e
i
g
h
t
c
rit
e
ri
a
se
lec
ted
a
re
c
o
m
p
a
ti
b
le
t
o
th
e
su
sta
in
a
b
le
d
e
v
e
lo
p
m
e
n
t
o
f
h
y
d
r
o
p
o
we
r
p
ro
jec
ts.
K
ey
w
o
r
d
s
:
Hy
d
r
o
p
o
wer
p
r
o
jects
Mu
lti
-
cr
iter
ia
d
ec
is
io
n
m
ak
in
g
Su
s
tain
ab
ilit
y
ass
es
s
m
en
t
Su
s
tain
ab
ilit
y
cr
iter
ia
Su
s
tain
ab
le
d
ev
elo
p
m
e
n
t
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
An
u
ja
Sh
ak
tawa
t
Sch
o
o
l o
f
R
en
ewa
b
le
E
n
er
g
y
an
d
E
f
f
icien
c
y
Natio
n
al
I
n
s
titu
te
o
f
T
ec
h
n
o
lo
g
y
Ku
r
u
k
s
h
etr
a
NI
T
,
Mir
za
p
u
r
Par
t,
Har
y
an
a
1
3
6
1
1
8
,
I
n
d
ia
E
m
ail: sh
ak
tawa
tean
u
0
9
0
@
g
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
Hy
d
r
o
p
o
wer
is
r
ec
o
g
n
i
ze
d
as
a
m
atu
r
e
tech
n
o
lo
g
y
f
o
r
elec
tr
icity
g
e
n
er
atio
n
an
d
i
s
g
lo
b
ally
co
n
tr
ib
u
tin
g
m
ax
im
u
m
to
war
d
s
th
e
g
en
er
atio
n
o
f
all
th
e
r
en
ewa
b
le
r
eso
u
r
ce
s
.
Hy
d
r
o
p
o
wer
h
as
s
to
r
ag
e
r
eser
v
o
ir
,
wh
ich
h
elp
s
to
m
e
ets
th
e
p
ea
k
lo
ad
d
em
an
d
a
n
d
th
u
s
s
tab
ilize
th
e
o
v
er
all
ele
ctr
ical
g
r
id
[
1
]
.
Hy
d
r
o
p
o
wer
a
p
ar
t
f
r
o
m
g
e
n
er
atin
g
lo
w
-
c
o
s
t
elec
tr
icity
p
r
o
v
id
es
wate
r
s
u
p
p
ly
,
f
lo
o
d
co
n
tr
o
l,
d
r
o
u
g
h
t
m
an
ag
em
en
t,
r
ec
r
e
atio
n
,
ir
r
i
g
atio
n
,
an
d
jo
b
cr
ea
tio
n
[
2
]
,
[
3
]
.
R
eg
ar
d
less
o
f
th
ese
s
ev
er
al
ad
v
an
tag
es,
t
h
e
d
ev
elo
p
m
e
n
t
o
f
h
y
d
r
o
p
o
wer
u
s
ed
to
b
e
h
ig
h
ly
co
n
tr
o
v
er
s
ial
o
n
ac
co
u
n
t
o
f
it’s
s
o
cial
an
d
en
v
ir
o
n
m
en
tal
im
p
ac
ts
in
ter
m
s
o
f
lo
s
s
o
f
b
io
d
iv
er
s
ity
,
d
estro
y
in
g
o
f
th
e
ec
o
s
y
s
tem
,
g
r
ee
n
h
o
u
s
e
g
as
(
GHG)
em
is
s
io
n
s
,
s
u
b
m
er
g
en
ce
o
f
lar
g
e
lan
d
ar
ea
,
d
is
p
lace
m
en
t
an
d
r
esettlem
en
t
o
f
p
o
p
u
latio
n
[
4
]
.
T
h
er
e
f
o
r
e,
in
th
e
f
ield
o
f
h
y
d
r
o
p
o
wer
d
ev
elo
p
m
en
t su
s
tain
ab
ilit
y
h
as b
ec
o
m
e
an
im
p
o
r
tan
t c
o
n
ce
r
n
.
Pre
v
io
u
s
ly
tech
n
ical
a
n
d
ec
o
n
o
m
ic
p
a
r
a
m
eter
s
wer
e
th
e
m
ain
cr
iter
ia
to
a
n
aly
ze
th
e
h
y
d
r
o
p
o
wer
p
r
o
jects
wh
ich
m
ain
ly
f
o
c
u
s
ed
o
n
elec
tr
icity
g
en
e
r
atio
n
[
5
]
.
L
ate
r
en
v
ir
o
n
m
en
tal
an
d
s
o
ci
al
asp
ec
ts
wer
e
also
co
n
s
id
er
ed
as
s
ig
n
if
ican
t
cr
iter
ia
f
o
r
s
u
s
tain
ab
ilit
y
ass
es
s
m
e
n
t
o
f
h
y
d
r
o
p
o
wer
p
r
o
jects
[
6
]
.
Hen
ce
it
b
ec
o
m
es
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
Ap
p
l Po
wer
E
n
g
I
SS
N:
225
2
-
8
7
9
2
R
a
n
kin
g
o
f h
yd
r
o
p
o
w
er p
r
o
jects b
a
s
ed
o
n
s
u
s
ta
in
a
b
ilit
y
crit
e
r
ia
in
I
n
d
ia
u
s
in
g
… (
A
n
u
ja
S
h
a
kta
w
a
t
)
231
n
ec
ess
ar
y
to
c
o
n
s
id
er
all
i.e
.
,
tech
n
ical,
ec
o
n
o
m
ic,
s
o
cial
an
d
en
v
ir
o
n
m
e
n
tal
cr
iter
ia
f
o
r
ass
ess
in
g
th
e
s
u
s
tain
ab
ilit
y
o
f
h
y
d
r
o
p
o
wer
p
r
o
ject.
Ho
wev
e
r
,
th
ese
c
r
iter
ia
ar
e
co
n
t
r
ad
ictin
g
as
it
is
n
o
t
p
o
s
s
ib
le
to
d
esig
n
an
ec
o
n
o
m
ical,
h
ig
h
in
s
talled
ca
p
ac
ity
h
y
d
r
o
p
o
wer
p
r
o
ject
with
n
eg
lig
ib
le
en
v
ir
o
n
m
en
tal
an
d
s
o
cial
im
p
ac
ts
,
f
u
r
th
er
s
o
m
e
im
p
ac
ts
ar
e
b
o
u
n
d
t
o
h
ap
p
en
.
T
h
er
e
f
o
r
e,
to
tack
le
th
e
h
y
d
r
o
p
o
wer
s
y
s
tem
with
a
p
er
ce
p
tio
n
o
f
s
u
s
tain
ab
ilit
y
as
a
co
m
p
lex
p
r
o
b
lem
,
m
u
lti
-
cr
iter
ia
d
ec
is
io
n
m
ak
in
g
(
MCDM)
m
eth
o
d
s
s
er
v
e
as
a
q
u
ite
r
ea
lis
tic
ap
p
r
o
ac
h
wh
ich
in
clu
d
es,
am
o
n
g
o
th
er
s
,
s
o
m
e
c
o
n
f
l
ictin
g
cr
iter
ia
[
7
]
.
T
h
er
e
ar
e
s
ev
e
r
al
MCDM
m
eth
o
d
s
wh
ich
a
r
e
wid
ely
a
p
p
lie
d
to
th
e
a
p
p
licatio
n
o
f
e
n
er
g
y
p
lan
n
in
g
,
s
u
s
tain
ab
ilit
y
ass
e
s
s
m
en
t
an
d
r
an
k
in
g
o
f
r
en
ewa
b
le
en
e
r
g
y
p
r
o
jects
s
u
ch
as
h
y
d
r
o
p
o
wer
,
win
d
,
s
o
lar
,
g
eo
th
er
m
al,
etc.
Fo
r
ex
am
p
le
,
a
n
aly
tic
h
ier
ar
ch
y
p
r
o
ce
s
s
(
AHP)
is
ap
p
lied
in
[
8
]
to
s
tu
d
y
th
e
p
o
te
n
tial
to
d
ev
elo
p
h
y
d
r
o
p
o
wer
p
r
o
jects.
To
ass
is
tin
g
en
er
g
y
p
lan
n
i
n
g
[
9
]
also
u
s
ed
AHP
to
e
v
alu
ate
an
d
r
an
k
th
e
h
y
d
r
o
p
o
wer
p
r
o
jects
s
p
ec
if
ica
lly
to
th
e
h
y
d
r
o
p
o
wer
p
lan
ts
co
n
s
tr
u
ctio
n
s
in
th
e
m
o
u
n
tain
o
u
s
ar
ea
o
f
I
taly
an
d
[
1
0
]
u
s
ed
AHP
to
d
eter
m
in
e
th
e
m
o
s
t
s
u
itab
le
s
ite
f
o
r
a
win
d
o
b
s
er
v
atio
n
s
tatio
n
.
P
r
ef
er
en
ce
r
an
k
i
n
g
o
r
g
an
izatio
n
m
eth
o
d
f
o
r
en
r
ic
h
m
en
t
ev
alu
atio
n
s
(
PR
OM
E
T
HE
E
)
m
eth
o
d
with
f
u
zz
y
in
p
u
t d
ata
h
as b
ee
n
u
s
ed
to
ass
ess
ed
an
d
r
a
n
k
ed
alter
n
ativ
e
en
er
g
y
e
x
p
lo
itatio
n
s
ch
e
m
es
o
f
a
lo
w
-
tem
p
er
atu
r
e
g
e
o
th
er
m
al
f
ield
u
s
in
g
[
1
1
]
.
Mo
r
eo
v
er
[
1
2
]
d
e
v
elo
p
e
d
th
e
f
r
am
ewo
r
k
u
s
in
g
th
e
P
R
OM
E
T
HE
E
m
eth
o
d
to
ar
r
iv
e
f
o
r
g
r
o
u
p
c
o
n
s
en
t
o
n
r
en
ewa
b
le
en
er
g
y
p
r
o
jects
,
wh
ich
was
th
en
ap
p
lied
to
a
g
eo
th
er
m
al
r
eser
v
o
ir
p
r
o
jec
t
o
n
th
e
is
lan
d
o
f
C
h
io
s
an
d
[
1
3
]
ap
p
lied
PR
OM
E
T
HE
E
f
o
r
ass
ess
in
g
th
e
s
u
s
tain
ab
ilit
y
o
f
r
en
ewa
b
le
en
er
g
y
tech
n
o
lo
g
ies
in
Sco
tlan
d
.
E
lim
in
atio
n
a
n
d
ch
o
ice
tr
an
s
latin
g
r
ea
lity
(
E
L
E
C
T
R
E
)
m
eth
o
d
h
a
d
b
ee
n
ap
p
lied
b
y
[
1
4
]
an
d
[
1
5
]
in
th
e
ap
p
licatio
n
o
f
r
en
ewa
b
le
en
er
g
y
p
lan
n
in
g
.
T
ec
h
n
iq
u
e
f
o
r
o
r
d
er
o
f
p
r
ef
e
r
en
ce
b
y
s
im
ilar
ity
to
id
ea
l
s
o
lu
tio
n
(
T
OPSIS)
u
n
d
er
f
u
z
zy
en
v
ir
o
n
m
en
t
h
as
b
ee
n
u
s
ed
f
o
r
ev
alu
atin
g
s
u
s
tain
ab
ilit
y
an
d
r
an
k
i
n
g
o
f
r
en
ewa
b
le
en
er
g
y
tech
n
o
lo
g
ie
s
[
1
6
]
-
[
1
8
]
.
T
h
e
MCDM
m
eth
o
d
s
h
elp
in
b
etter
d
ec
is
io
n
m
a
k
in
g
b
y
ef
f
icie
n
tl
y
co
n
s
id
er
in
g
n
u
m
e
r
o
u
s
cr
iter
i
a
with
co
n
f
lictin
g
n
atu
r
e
.
Dep
en
d
in
g
o
n
th
e
o
b
jectiv
e
o
f
p
la
n
n
in
g
an
d
ap
p
licatio
n
ar
ea
,
ea
ch
M
C
DM
m
eth
o
d
h
as
its
o
wn
s
tr
en
g
th
an
d
wea
k
n
ess
[
1
9
]
.
Hen
ce
n
o
s
in
g
le
m
eth
o
d
ca
n
b
e
ca
teg
o
r
ized
as b
est o
r
wo
r
s
t.
T
h
e
p
r
esen
t
s
tu
d
y
d
e
m
o
n
s
tr
at
es
th
e
ap
p
licatio
n
o
f
m
o
s
t
o
f
t
en
u
s
ed
MCDM
m
eth
o
d
s
n
am
ely
AHP,
T
OPSIS,
PR
OM
E
T
HE
E
I
I
,
a
n
d
E
L
E
C
T
R
E
I
I
I
o
n
a
p
r
ac
t
ical
ex
am
p
le
f
o
r
r
a
n
k
in
g
o
f
m
ajo
r
h
y
d
r
o
p
o
wer
p
r
o
jects
o
f
I
n
d
ia
b
ased
o
n
eig
h
t
s
u
s
tain
ab
ilit
y
cr
iter
ia.
T
h
e
AHP
m
eth
o
d
is
u
s
ed
to
ev
alu
a
te
th
e
weig
h
ts
o
f
t
h
e
cr
iter
ia
u
s
ed
f
o
r
ass
ess
in
g
th
e
s
u
s
tain
ab
ilit
y
o
f
h
y
d
r
o
p
o
w
er
p
r
o
jects.
T
h
e
v
a
r
io
u
s
cr
it
er
ia
co
n
s
id
er
ed
f
o
r
r
an
k
in
g
o
f
h
y
d
r
o
p
o
wer
p
r
o
je
cts
in
th
is
s
tu
d
y
ar
e
b
ased
o
n
tech
n
o
-
ec
o
n
o
m
ic,
ec
o
n
o
m
ic,
en
v
ir
o
n
m
en
tal
an
d
s
o
cial.
2.
M
E
T
H
O
D
O
L
O
G
Y
2
.
1
.
Weig
hts c
a
lcula
t
io
n by
AH
P
m
et
ho
d
T
h
e
AHP
in
tr
o
d
u
ce
d
b
y
Saaty
is
th
e
m
o
s
t
wid
ely
ac
ce
p
ted
d
ec
is
io
n
s
u
p
p
o
r
t
to
o
l
f
o
r
c
o
m
p
licated
d
ec
is
io
n
p
r
o
b
lem
s
[
2
0
]
.
AHP
u
s
es a
m
u
lti
-
lev
el
h
ier
ar
ch
ical
f
o
r
m
atio
n
o
f
o
b
jectiv
es,
cr
iter
ia,
s
u
b
-
cr
iter
ia,
an
d
alter
n
a
tiv
es.
T
h
e
f
o
llo
win
g
s
tep
s
ar
e
in
v
o
l
v
ed
in
th
e
AHP
m
eth
o
d
[
2
1
]
.
(
i)
C
o
n
s
t
r
u
ct
a
p
air
wis
e
co
m
p
ar
is
o
n
s
m
atr
ix
o
f
th
e
c
r
iter
ia
in
v
o
lv
ed
in
th
e
d
ec
is
io
n
u
s
in
g
a
n
u
m
er
ical
s
ca
le
f
o
r
c
o
m
p
a
r
is
o
n
u
s
ed
in
[
2
0
]
.
L
et
C
j
(
j
=
1
,
2
,
.
.
.
,
n
)
r
ep
r
es
en
ts
th
e
j
th
c
r
iter
ia.
B
p
r
esen
t
s
th
e
(
n
x
n
)
p
air
wis
e
co
m
p
ar
is
o
n
m
atr
ix
,
wh
er
e
b
ij
(
i,
j
=
1
,
2
,
.
.
.
,
n
)
r
e
p
r
esen
ts
th
e
r
elativ
e
im
p
o
r
tan
ce
o
f
cr
iter
ia
i
with
r
esp
ec
t to
cr
iter
ia
j
.
A
cr
i
ter
io
n
co
m
p
ar
ed
with
its
elf
is
alwa
y
s
ass
ig
n
ed
th
e
v
alu
e
1
.
=
[
1
12
.
.
.
1
21
1
.
.
.
2
.
.
.
.
.
.
.
.
.
.
.
.
1
2
.
.
.
1
]
=
1
⁄
,
≠
0
(
1
)
(
ii)
T
h
e
r
elativ
e
n
o
r
m
alize
d
weig
h
t (
W
i
)
i
s
ca
lcu
lated
b
y
ca
lcu
lat
in
g
th
e
v
alu
e
o
f
th
e
g
eo
m
et
r
ic
m
ea
n
(
)
o
f
its
r
o
w.
=
{
1
×
2
×
3
×
.
.
.
×
}
1
⁄
(
2
)
=
∑
=
=
1
(
3
)
(
iii)
Dete
r
m
in
e
th
e
m
atr
ix
Y
s
u
c
h
t
h
at
Y
=
×
,
wh
er
e
W
=
[
W
1
, W
2
, W
3
,
…,
Wn
]
T
(
4
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
7
9
2
I
n
t J
Ap
p
l Po
wer
E
n
g
,
Vo
l.
10
,
No
.
3
,
Sep
tem
b
er
2
0
2
1
:
2
3
0
–
243
232
=
∗
=
[
1
12
.
.
.
1
21
1
.
.
.
2
.
.
.
.
.
.
.
.
.
.
.
.
1
2
.
.
.
1
]
[
1
2
.
.
.
]
=
[
1
2
…
]
(
5
)
(
iv
)
T
h
e
co
n
s
is
ten
cy
v
alu
es (
CV
)
c
alcu
lated
f
o
r
t
h
e
g
r
o
u
p
o
f
alter
n
ativ
es is
g
iv
en
b
y
(
6
)
.
=
(
6
)
(
v
)
T
h
e
v
alu
e
o
f
th
e
m
ax
im
u
m
ei
g
en
v
alu
e
λ
m
ax
is
th
en
ca
lcu
lated
wh
ich
is
th
e
av
er
ag
e
o
f
th
e
co
n
s
is
ten
cy
v
alu
es.
(
v
i)
T
h
e
v
alu
e
o
f
t
h
e
co
n
s
is
ten
cy
in
d
ex
(
CI
)
=
(
λ
m
ax
-
n
)
/(
n
-
1
)
i
s
ca
lcu
lated
wh
er
ein
‘
n
’
d
e
n
o
tes
th
e
to
tal
n
u
m
b
er
o
f
cr
iter
ia.
T
h
e
co
n
s
is
ten
cy
o
f
th
e
p
air
wis
e
co
m
p
ar
i
s
o
n
d
en
o
tes
t
h
e
q
u
ality
o
f
th
e
r
esu
lts
o
f
th
e
AHP.
(
v
ii)
T
h
e
v
alu
e
o
f
th
e
r
an
d
o
m
in
d
e
x
(
RI
)
is
s
elec
ted
u
s
in
g
T
ab
le
1
f
o
r
t
h
e
n
u
m
b
er
o
f
cr
iter
ia.
(
v
iii)
T
h
e
v
alu
e
o
f
co
n
s
is
ten
cy
r
atio
(
CR)
=
C
I
/R
I
is
th
en
ca
lcu
lated
.
T
h
e
v
alu
e
0
.
1
is
th
e
ac
ce
p
t
ed
u
p
p
er
lim
it
f
o
r
CR
.
I
f
th
e
v
alu
e
o
f
C
R
ex
c
ee
d
s
th
e
v
alu
e
0
.
1
,
th
en
co
m
p
l
ete
ev
alu
atio
n
p
r
o
ce
d
u
r
e
h
as
to
b
e
r
ep
ea
te
d
to
im
p
r
o
v
e
c
o
n
s
is
ten
cy
as
th
e
v
alu
e
o
f
C
R
d
en
o
tes
th
e
c
o
n
s
is
ten
cy
o
f
d
ec
is
io
n
m
a
k
er
s
as
we
ll
as
o
f
o
v
er
all
h
ier
ar
c
h
y
.
T
ab
le
1
.
R
an
d
o
m
in
d
e
x
(
RI
)
v
alu
es [
2
1
]
C
r
i
t
e
r
i
a
RI
C
r
i
t
e
r
ia
RI
3
0
.
5
2
7
1
.
3
5
4
0
.
8
9
8
1
.
4
5
1
.
1
1
9
1
.
4
5
6
1
.
2
5
10
1
.
4
9
2
.
2
.
M
et
ho
ds
f
o
r
ra
n
k
ing
o
f
a
lt
er
na
t
iv
es
2
.
2
.
1
.
T
he
T
O
P
SI
S m
et
ho
d
T
h
e
T
OPSIS
m
eth
o
d
,
d
ev
el
o
p
ed
b
y
Hwa
n
g
an
d
Yo
o
n
[
2
2
]
,
is
b
ased
o
n
th
e
p
r
i
n
cip
le
th
at
th
e
b
est
alter
n
ativ
e
is
clo
s
est
to
th
e
p
o
s
itiv
e
id
ea
l
s
o
lu
tio
n
an
d
f
ar
th
e
s
t
f
r
o
m
th
e
n
e
g
ativ
e
id
ea
l
s
o
lu
tio
n
[
2
3
]
,
[
2
4
]
.
T
h
e
f
o
r
m
al
T
OPSIS m
eth
o
d
c
o
m
p
r
is
es o
f
th
e
f
o
llo
win
g
s
tep
s
:
(
i)
A
d
ec
is
io
n
m
atr
ix
h
as
to
b
e
e
s
tab
lis
h
ed
f
o
r
th
e
r
an
k
in
g
wh
er
ein
co
lu
m
n
s
r
ep
r
esen
t
cr
iter
ia
(
C
1
,
C
2
,
C
3
,
…, C
n
)
,
(j
=
1
,
2
,
…,
n
)
wh
ile
r
o
ws r
ep
r
esen
t a
lter
n
ativ
es (
A
1
,
A
2
, A
3
,
.
.
.
A
m
)
,
(i
=
1
,
2
,
…,
m
)
.
C
1
C
2
…
C
n
(W
1
)
(W
2
)
…
(W
n
)
A
1
X
11
X
12
…
X
1n
A
2
X
21
X
22
…
X
2n
(
7
)
A
m
X
m1
X
m2
X
mn
An
elem
en
t
X
ij
o
f
th
e
m
atr
ix
in
d
icate
s
th
e
p
er
f
o
r
m
an
ce
r
ati
n
g
o
f
th
e
i
th
alter
n
ativ
e
A
i
,
wi
th
r
esp
ec
t
t
o
th
e
j
th
cr
iter
ia
C
j
,
as sh
o
wn
in
(
7
)
.
(
ii)
T
h
e
n
o
r
m
alize
d
d
ec
is
io
n
m
atr
ix
r
ij
o
f
Xij
is
ca
lcu
lated
as d
ef
in
ed
in
(
8
)
=
√
∑
2
=
=
1
=
1
,
2
,
…
,
;
=
1
,
2
,
…
,
(
8
)
(
iii)
W
eig
h
ted
n
o
r
m
alize
d
d
ec
is
io
n
m
atr
ix
is
ca
lcu
lated
b
y
m
u
ltip
ly
in
g
th
e
n
o
r
m
alize
d
d
ec
is
io
n
m
atr
ix
b
y
its
co
r
r
esp
o
n
d
in
g
weig
h
ts
.
=
∗
(
9
)
(
iv
)
T
h
e
v
alu
es
o
f
p
o
s
itiv
e
id
ea
l
(
b
est)
(
V
+
)
an
d
n
eg
ativ
e
id
e
al
(
wo
r
s
t)
s
o
lu
tio
n
s
(
V
-
)
is
t
h
en
ca
lcu
lated
u
s
in
g
(
1
0
)
an
d
(
1
1
)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
Ap
p
l Po
wer
E
n
g
I
SS
N:
225
2
-
8
7
9
2
R
a
n
kin
g
o
f h
yd
r
o
p
o
w
er p
r
o
jects b
a
s
ed
o
n
s
u
s
ta
in
a
b
ilit
y
crit
e
r
ia
in
I
n
d
ia
u
s
in
g
… (
A
n
u
ja
S
h
a
kta
w
a
t
)
233
V
+=
{
(
∑
/
∈
)
,
(
∑
/
∈
′
)
/
=
1
,
2
,
…
,
}
=
{
1
,
+
2
,
+
3
,
+
…
,
+
}
(
10)
−
=
{
(
∑
/
∈
)
,
(
∑
/
∈
′
)
/
=
1
,
2
,
…
,
}
=
{
1
,
−
2
,
−
3
,
−
…
,
−
}
(
1
1
)
wh
er
e
J
=
(
j
=
1
,
2
,
.
.
.
,
n
)
/
j
is
s
e
t o
f
b
en
e
f
icial
cr
iter
ia
an
d
J’
=
(
j
=
1
,
2
,
…
,
n
)
/
is
s
et
o
f
n
o
n
b
e
n
ef
icial
cr
iter
ia.
(
v
)
T
h
e
s
ep
ar
atio
n
b
etwe
en
alter
n
ativ
es
ca
n
b
e
ca
lcu
lated
b
y
th
e
n
-
d
im
en
s
io
n
al
E
u
clid
ea
n
d
is
tan
ce
.
T
h
e
s
ep
ar
atio
n
o
f
ea
c
h
alter
n
ativ
e
f
r
o
m
th
e
p
o
s
itiv
e
id
ea
l so
lu
tio
n
is
g
iv
en
as
(
1
2
)
.
+
=
√
∑
−
=
1
+
2
i
=
1
,
2
,
…,
m
(
12
)
Similar
ly
,
th
e
s
ep
ar
atio
n
f
r
o
m
th
e
n
eg
ativ
e
id
ea
l so
l
u
tio
n
is
a
s
(
1
3
)
.
−
=
√
∑
−
=
1
−
2
i
=
1
,
2
,
…,
m
(
13
)
(
v
i)
T
h
e
r
elativ
e
clo
s
en
ess
o
f
th
e
a
lter
n
ativ
e
Aij
f
r
o
m
th
e
id
ea
l so
lu
tio
n
,
is
ca
lcu
lated
as
(
1
4
)
.
=
−
+
+
−
(
14
)
(
1
4
)
(
v
ii)
Fin
ally
,
th
e
alter
n
ativ
es a
r
e
r
a
n
k
ed
in
th
e
d
escen
d
i
n
g
o
r
d
er
a
cc
o
r
d
in
g
to
th
e
v
alu
e
o
f
.
2
.
2
.
2
.
T
he
P
RO
M
E
T
H
E
E
m
et
ho
d
T
h
e
PR
OM
E
T
HE
E
i
s
an
ef
f
ec
tiv
e
MCDM
to
o
l
an
d
p
o
p
u
lar
o
u
tr
an
k
in
g
m
eth
o
d
[
2
5
]
.
I
n
PR
OM
E
T
HE
E
m
eth
o
d
a
f
in
it
e
‘
m
’
n
u
m
b
er
o
f
alter
n
ativ
es
A
=
[
A1
,
A2
,
…,
Am
]
a
r
e
ev
al
u
ated
f
o
r
a
f
in
ite
‘
n
’
n
u
m
b
er
o
f
ev
alu
atio
n
cr
iter
ia
C
=
[
C
1
,
C
2
,
…,
C
n
]
.
PR
OM
E
T
HE
E
h
as
p
r
o
v
ed
to
b
e
an
ex
ce
llen
t
to
o
l
f
o
r
r
an
k
in
g
c
o
n
s
id
er
in
g
m
u
ltip
le
an
d
co
m
p
lex
cr
iter
ia
wh
en
d
e
alin
g
with
th
e
f
in
ite
n
u
m
b
er
o
f
alter
n
ativ
es
[
2
6
]
,
[
2
7
]
.
T
h
e
v
e
r
s
io
n
s
av
ailab
le
o
f
PR
OM
E
T
HE
E
ar
e
PR
OM
E
T
HE
E
I
,
PR
OM
E
T
HE
E
I
I
,
PR
OM
E
T
HE
E
I
I
I
,
PR
OM
E
T
HE
E
I
V
an
d
PR
O
ME
T
HE
E
VI
.
B
ased
o
n
th
e
u
s
er
-
f
r
ien
d
ly
a
p
p
r
o
ac
h
an
d
m
a
th
em
atica
l
p
r
o
p
er
t
y
,
ea
ch
PR
OM
E
T
HE
E
m
et
h
o
d
c
an
b
e
r
e
g
ar
d
e
d
as a
co
n
v
en
ien
t to
o
l f
o
r
d
ec
is
io
n
m
ak
i
n
g
[
2
8
]
.
I
n
p
r
esen
t
s
tu
d
y
PR
OM
E
T
HE
E
I
I
is
ap
p
lied
as
it
is
th
e
m
o
s
t
co
m
m
o
n
ly
u
s
ed
v
er
s
io
n
wh
ich
allo
ws
d
ec
is
io
n
m
ak
er
to
f
in
d
a
f
u
ll
r
an
k
ed
v
ec
to
r
o
f
alter
n
ativ
es
a
n
d
it
is
well
f
it
ted
to
th
e
ca
s
e
s
tu
d
y
u
n
d
e
r
tak
en
.
I
n
th
is
m
eth
o
d
,
a
lter
n
ativ
es
ar
e
ev
alu
ated
b
y
p
air
wis
e
co
m
p
a
r
is
o
n
o
n
a
p
ar
ticu
lar
cr
iter
io
n
an
d
b
ased
o
n
th
e
d
ev
iatio
n
th
e
p
r
ef
e
r
en
ce
is
as
s
ig
n
ed
f
o
r
th
e
b
est
alter
n
ativ
e
b
y
a
d
ec
is
io
n
m
ak
er
.
T
h
e
p
r
e
f
er
en
ce
ass
ig
n
ed
is
th
e
v
alu
e
b
etwe
en
‘
0
-
1
'
th
at
is
ac
co
r
d
i
n
g
to
th
e
s
elec
ted
p
r
ef
er
en
ce
f
u
n
ctio
n
.
T
h
e
s
ix
p
r
ef
e
r
en
ce
f
u
n
ctio
n
s
h
ad
b
ee
n
p
r
o
p
o
s
ed
b
y
[
2
5
]
,
wh
ic
h
ar
e
n
am
ely
,
u
s
u
al
cr
iter
io
n
(
T
y
p
e
I
)
,
q
u
asi
cr
iter
io
n
(
T
y
p
e
I
I
)
,
cr
iter
io
n
with
lin
ea
r
p
r
ef
er
e
n
ce
(
T
y
p
e
I
I
I
)
,
l
ev
el
cr
iter
io
n
(
T
y
p
e
I
V)
,
cr
ite
r
io
n
with
lin
ea
r
p
r
ef
er
e
n
ce
an
d
in
d
if
f
e
r
en
ce
ar
ea
(
T
y
p
e
V)
,
an
d
Gau
s
s
ian
cr
iter
io
n
(
T
y
p
e
VI
)
[
2
9
]
.
T
h
e
in
tr
o
d
u
ctio
n
o
f
a
n
in
d
i
f
f
er
en
ce
th
r
esh
o
ld
in
d
ec
is
io
n
m
ak
in
g
will d
ec
id
e
t
h
e
s
elec
tio
n
o
f
T
y
p
e
I
o
r
I
V;
an
d
T
y
p
e
I
I
I
o
r
V
p
r
ef
er
e
n
ce
f
u
n
ctio
n
.
T
h
e
p
r
ef
e
r
en
ce
o
f
alter
n
ativ
e
A1
o
v
er
alter
n
ativ
e
A2
f
o
r
a
p
ar
ticu
lar
cr
iter
io
n
ca
n
b
e
d
eter
m
in
ed
b
y
m
ea
n
s
o
f
a
p
r
ef
e
r
en
ce
f
u
n
c
tio
n
(
1
,
2
)
s
u
ch
th
at
0
≤
(
1
,
2
)
≥
1
,
wh
ich
e
x
p
r
ess
es
th
e
p
r
ef
e
r
en
ce
as
a
f
u
n
ctio
n
o
f
t
h
e
d
ev
iatio
n
(
1
,
2
)
b
etwe
en
A1
an
d
A2
o
n
th
at
p
ar
tic
u
lar
cr
iter
io
n
:
(
1
,
2
)
=
[
(
1
,
2
)
]
=
[
(
1
)
−
(
2
)
]
(
1
5
)
wh
er
e
r
ep
r
esen
ts
th
e
f
u
n
ctio
n
o
f
th
e
d
ev
iatio
n
.
Fig
u
r
e
1
p
r
esen
ts
th
e
lin
ea
r
p
r
ef
e
r
en
ce
f
u
n
ctio
n
,
wh
ich
r
eq
u
ir
es
to
d
ef
in
e
th
e
p
a
r
am
et
er
s
i.e
.,
in
d
if
f
er
en
ce
t
h
r
esh
o
l
d
an
d
i.e
.
,
o
u
tr
ig
h
t
p
r
e
f
er
en
c
e
th
r
esh
o
ld
f
o
r
ea
ch
cr
iter
io
n
co
n
s
id
er
ed
.
T
h
e
p
ar
am
eter
is
d
ef
in
ed
as
th
e
la
r
g
est
d
ev
iatio
n
,
w
h
ich
is
co
n
s
i
d
er
ed
n
eg
lig
ib
le
b
y
th
e
d
ec
is
io
n
m
a
k
er
.
T
h
e
p
ar
am
eter
is
d
ef
in
ed
as
th
e
s
m
allest
d
ev
iatio
n
,
wh
ich
is
co
n
s
id
er
ed
s
u
f
f
icien
t
to
g
en
er
ate
a
f
u
ll
p
r
ef
er
en
ce
[
2
5
]
.
T
h
e
in
d
e
x
o
f
p
r
e
f
er
en
ce
∏
(
1
,
2
)
o
f
alter
n
ativ
e
1
b
ein
g
p
r
ef
er
r
e
d
o
v
er
alter
n
ativ
e
2
is
g
iv
en
b
y
(
1
6
)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
7
9
2
I
n
t J
Ap
p
l Po
wer
E
n
g
,
Vo
l.
10
,
No
.
3
,
Sep
tem
b
er
2
0
2
1
:
2
3
0
–
243
234
∏
(
1
,
2
)
=
∑
(
1
,
2
)
=
1
∑
=
1
(
1
6
)
∏
(
1
,
2
)
is
a
n
u
m
b
er
b
etwe
en
0
an
d
1
th
at
r
ep
r
esen
ts
th
e
d
eg
r
ee
to
wh
ich
1
is
p
r
ef
er
r
ed
o
v
e
r
2
,
w
h
ile
∏
(
2
,
1
)
r
ep
r
esen
ts
th
e
p
r
ef
er
e
n
ce
o
f
2
o
v
er
1
.
is
th
e
weig
h
t
as
s
ig
n
ed
to
cr
iter
ia
j.
T
o
r
an
k
o
n
e
alter
n
ativ
e
ag
ain
s
t
all
th
e
o
th
er
alter
n
ativ
es,
th
e
p
o
s
itiv
e
a
n
d
n
eg
ativ
e
o
u
tr
a
n
k
in
g
f
l
o
ws
g
iv
en
b
y
(
1
7
)
an
d
(
1
8
)
a
r
e
ca
lcu
lated
a
n
d
f
in
ally
,
n
et
o
u
tr
a
n
k
in
g
f
lo
w
is
ca
lcu
l
a
ted
b
y
(
2
3
)
.
∅
+
(
1
)
=
1
(
−
1
)
∑
∏
(
1
,
)
∈
(
1
7
)
∅
−
(
1
)
=
1
(
−
1
)
∑
∏
(
,
1
)
∈
(
1
8
)
∅
(
1
)
=
∅
+
(
1
)
–
∅
−
(
1
)
(
1
9
)
T
h
e
p
o
s
itiv
e
o
u
tr
a
n
k
in
g
f
lo
w
∅
+
(
1
)
in
(
1
7
)
in
d
icate
s
h
o
w
th
e
alt
er
n
ativ
e
1
is
o
u
tr
a
n
k
in
g
all
th
e
o
th
er
s
,
wh
ile
th
e
n
eg
ativ
e
o
u
tr
an
k
in
g
f
lo
w
∅
−
(
1
)
in
(
1
8
)
in
d
icate
s
h
o
w
th
e
alter
n
ativ
e
1
is
o
u
tr
an
k
ed
b
y
all
th
e
o
th
er
s
.
Hig
h
er
t
h
e
∅
+
(
1
)
an
d
lo
wer
th
e
∅
−
(
1
)
in
d
ica
tes,
1
is
b
etter
in
co
m
p
a
r
is
o
n
to
th
e
o
th
e
r
alter
n
ativ
es.
T
h
e
v
alu
e
o
f
th
e
n
et
o
u
tr
an
k
i
n
g
f
lo
w
(
∅
)
ca
lcu
l
ated
f
o
r
ea
ch
alter
n
ativ
e
u
s
in
g
(
1
9
)
is
u
s
ed
to
r
an
k
th
e
alter
n
ativ
es.
T
h
e
h
ig
h
est r
an
k
will b
e
ass
ig
n
ed
to
th
e
alter
n
ativ
e
with
th
e
g
r
ea
test
v
alu
e
o
f
∅
.
Fig
u
r
e
1
.
L
i
n
ea
r
p
r
ef
er
en
ce
f
u
n
ctio
n
2
.
2
.
3
.
T
he
E
L
E
CT
RE
m
et
h
o
d.
T
h
e
E
L
E
C
T
R
E
m
eth
o
d
was
f
ir
s
t
p
r
o
p
o
s
ed
b
y
R
o
y
[
3
0
]
in
1
9
9
1
.
T
h
e
m
eth
o
d
is
b
a
s
ed
u
p
o
n
o
u
tr
an
k
i
n
g
c
o
n
ce
p
t
wh
er
eb
y
an
alter
n
ativ
e
a
1
o
u
tr
an
k
s
an
o
th
er
alter
n
ativ
e
a
2
with
en
o
u
g
h
f
a
ct
ex
is
ts
to
d
ec
lar
e
th
at
a
1
is
as
g
o
o
d
as
a
2
an
d
g
o
o
d
r
ea
s
o
n
s
to
r
ejec
t
s
u
ch
f
ac
ts
d
o
n
o
t
ex
is
t.
T
h
e
a
v
ailab
le
v
er
s
io
n
s
o
f
E
L
E
C
T
R
E
ar
e:
E
L
E
C
T
R
E
I
,
I
I
,
I
I
I
,
I
V,
I
S
an
d
T
R
I
[
3
1
]
.
T
h
e
p
r
esen
t
s
tu
d
y
E
L
E
C
T
R
E
I
I
I
is
s
elec
ted
f
o
r
r
an
k
in
g
th
e
alter
n
ativ
es
as
th
i
s
m
eth
o
d
p
r
o
v
id
es
a
n
a
d
v
an
t
ag
e
o
f
th
e
d
ir
ec
t
p
ar
ticip
atio
n
o
f
d
ec
is
io
n
m
ak
er
an
d
a
p
o
s
s
ib
ilit
y
to
an
aly
ze
b
o
th
q
u
alitativ
e
an
d
q
u
a
n
titativ
e
cr
iter
ia
[
3
2
]
-
[
3
4
]
.
L
et
alter
n
ativ
es
A
=
(a
1
,
a
2
,
…
,
a
m
)
ar
e
ass
ess
f
o
r
a
f
i
n
ite
n
n
u
m
b
er
o
f
cr
iter
ia
(
g
1
,
g
2
,
…,
g
n
)
;
(
)
r
ep
r
esen
ts
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
alter
n
ativ
e
a
∈
A
f
o
r
th
e
cr
iter
ia
(
j
=
1
,
2
,
…,
n
)
.
T
h
e
r
an
k
in
g
p
r
o
ce
d
u
r
e
o
f
th
e
E
L
E
C
T
R
E
I
I
I
m
o
d
el
r
eq
u
ir
es
to
d
ef
in
e
th
e
th
r
esh
o
ld
f
u
n
ctio
n
.
L
et
th
e
in
d
if
f
er
e
n
ce
an
d
th
r
esh
o
ld
f
o
r
th
e
j
th
cr
iter
i
a
ar
e
r
ep
r
esen
ted
an
d
r
esp
ec
tiv
ely
[
3
5
]
.
If
(
1
)
≥
(
2
)
,
th
en
,
(
1
)
>
(
2
)
+
⟺
1
2
(
20
)
(
2
)
+
<
(
1
)
<
⟺
1
2
(
21
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
Ap
p
l Po
wer
E
n
g
I
SS
N:
225
2
-
8
7
9
2
R
a
n
kin
g
o
f h
yd
r
o
p
o
w
er p
r
o
jects b
a
s
ed
o
n
s
u
s
ta
in
a
b
ilit
y
crit
e
r
ia
in
I
n
d
ia
u
s
in
g
… (
A
n
u
ja
S
h
a
kta
w
a
t
)
235
(
2
)
<
(
1
)
<
(
2
)
+
⟺
1
2
(
22
)
wh
er
e
P
d
en
o
tes
a
s
tr
o
n
g
p
r
ef
er
en
ce
,
Q
d
e
n
o
tes
a
wea
k
p
r
ef
er
en
ce
,
I
d
en
o
te
an
in
d
if
f
er
e
n
ce
an
d
(
1
)
is
th
e
cr
iter
ia
v
alu
e
o
f
th
e
alter
n
ativ
e
1
.
T
h
e
E
L
E
C
T
R
E
I
I
I
r
a
n
k
in
g
ca
lcu
latio
n
s
in
v
o
lv
e
f
o
llo
win
g
s
tep
s
:
(
i)
T
h
e
co
n
c
o
r
d
a
n
ce
in
d
e
x
(
1
,
2
)
is
co
m
p
u
ted
f
o
r
ea
ch
p
air
o
f
alter
n
ati
v
es:
(
1
,
2
)
=
∑
(
1
,
2
)
=
1
∑
=
1
(
23
)
wh
er
e
(
1
,
2
,
)
is
th
e
o
u
tr
an
k
in
g
d
eg
r
e
e
o
f
th
e
alter
n
ativ
e
1
an
d
2
,
u
n
d
er
cr
iter
ia
j
(
1
,
2
)
=
{
0
(
2
)
−
(
1
)
≥
1
(
2
)
−
(
1
)
≤
+
(
1
)
−
(
2
)
−
⁄
(
24
)
T
h
u
s
0
≤
(
1
,
2
)
≤
1
.
T
h
e
r
elatio
n
b
etwe
en
,
is
as
(
2
5
)
.
<
<
(
25
)
T
h
e
v
eto
th
r
esh
o
ld
(
v
)
allo
ws th
e
p
o
s
s
ib
ilit
y
o
f
1
2
i.e
o
u
tr
a
n
k
in
g
to
b
e
r
ef
u
s
ed
to
tally
i
f
,
f
o
r
a
n
y
o
n
e
cr
iter
ia
j
,
(
2
)
≻
(
1
)
+
.
(
ii)
T
h
e
d
is
co
r
d
a
n
ce
in
d
e
x
(
1
,
2
)
f
o
r
ea
ch
cr
iter
io
n
is
th
en
d
ef
in
e
d
as
(
2
6
)
.
(
1
,
2
)
=
{
0
(
2
)
−
(
1
)
≤
1
(
2
)
−
(
1
)
≥
(
2
)
−
(
1
)
−
−
⁄
(
2
6
)
T
h
u
s
0
≤
(
1
,
2
)
≤
1
(
iii)
Fin
ally
,
th
e
d
eg
r
ee
o
f
o
u
tr
an
k
i
n
g
is
d
ef
in
e
d
b
y
(
2
7
)
.
(
1
,
2
)
=
{
(
1
,
2
)
(
1
,
2
)
≤
(
1
,
2
)
∀
(
1
,
2
)
×
∏
1
−
(
1
,
2
)
1
−
(
1
,
2
)
(
1
,
2
)
ℎ
(
2
7
)
W
h
er
e
(
1
,
2
)
is
th
e
s
et
o
f
th
e
cr
iter
i
a
f
o
r
wh
ich
(
1
,
2
)
>
(
1
,
2
)
.
(
iv
)
Fo
r
co
m
p
lete
r
a
n
k
in
g
in
E
L
E
C
T
R
E
I
I
I
m
eth
o
d
,
t
h
e
p
r
esen
t
s
tu
d
y
u
s
ed
th
e
p
r
o
ce
d
u
r
e
a
d
o
p
ted
in
[
3
6
]
.
T
h
is
p
r
o
ce
d
u
r
e
r
e
q
u
ir
es
to
ca
l
cu
late
th
e
co
n
c
o
r
d
a
n
ce
cr
e
d
ib
ilit
y
d
eg
r
ee
,
th
e
d
is
co
r
d
a
n
ce
cr
ed
ib
ilit
y
d
eg
r
ee
,
a
n
d
th
e
n
et
cr
ed
i
b
ilit
y
d
eg
r
ee
:
(
a)
T
h
e
co
n
c
o
r
d
a
n
ce
cr
ed
ib
ilit
y
d
eg
r
ee
is
d
ef
in
ed
as
(
2
8
)
.
∅
+
(
)
=
∑
(
,
)
,
∀
∈
(
2
8
)
T
h
e
co
n
co
r
d
an
ce
c
r
ed
ib
ilit
y
d
eg
r
ee
m
ea
s
u
r
es
th
e
o
u
tr
an
k
in
g
ch
ar
ac
te
r
o
f
i.e
.
h
o
w
d
o
m
in
ates
all
o
th
er
alter
n
ativ
es o
f
A
.
(
b
)
T
h
e
d
is
co
r
d
a
n
ce
cr
ed
i
b
ilit
y
d
e
g
r
ee
is
d
ef
in
ed
as
(
2
9
)
.
∅
−
(
1
)
=
∑
(
,
)
∈
∀
(
2
9
)
(
c)
T
h
e
n
et
cr
e
d
ib
ilit
y
d
eg
r
ee
is
th
en
ca
lcu
lated
as
(
3
0
)
.
∅
(
1
)
=
∅
+
(
1
)
–
∅
−
(
1
)
(
30
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
7
9
2
I
n
t J
Ap
p
l Po
wer
E
n
g
,
Vo
l.
10
,
No
.
3
,
Sep
tem
b
er
2
0
2
1
:
2
3
0
–
243
236
T
h
e
h
ig
h
v
alu
e
o
f
t
h
e
n
et
c
r
ed
ib
ilit
y
d
eg
r
ee
r
ep
r
esen
ts
h
ig
h
er
p
r
ef
er
e
n
ce
o
f
th
e
alter
n
ativ
e
A
i
o
v
e
r
o
th
e
r
alter
n
ativ
es.
Hen
ce
th
e
r
a
n
k
in
g
o
f
al
ter
n
ativ
es is
d
o
n
e
b
ased
o
n
th
e
v
alu
e
o
f
th
e
n
et
c
r
ed
ib
i
lity
d
eg
r
ee
.
3.
SUST
AINA
B
I
L
I
T
Y
A
SS
E
S
SM
E
NT
A
ND
RANK
I
NG
O
F
AL
T
E
RNA
T
I
V
E
S
3
.
1
.
Select
io
n o
f
a
lt
er
na
t
i
v
es
T
h
e
f
ir
s
t
s
tep
in
MCDM
i
s
th
e
s
elec
tio
n
o
f
th
e
alter
n
ativ
es.
T
h
e
1
4
m
ajo
r
h
y
d
r
o
p
o
wer
p
r
o
jects
f
r
o
m
v
ar
io
u
s
r
eg
io
n
s
o
f
I
n
d
ia
ar
e
ca
r
ef
u
lly
s
elec
ted
as
alter
n
a
tiv
es
with
a
f
o
cu
s
o
n
p
r
o
jects
h
av
in
g
in
s
talled
ca
p
ac
ity
m
o
r
e
t
h
an
2
0
0
MW,
d
is
p
lace
m
en
t
o
r
r
esettlem
en
t
o
f
m
o
r
e
th
a
n
4
0
0
0
p
eo
p
le
a
n
d
h
av
in
g
a
lar
g
e
r
eser
v
o
ir
to
m
ak
e
th
e
p
r
o
b
lem
m
o
r
e
o
b
jectiv
e.
T
ab
l
e
2
p
r
esen
ts
th
e
lis
t o
f
s
elec
ted
h
y
d
r
o
p
o
wer
p
r
o
jects.
T
ab
le
2
.
L
is
t o
f
s
elec
ted
h
y
d
r
o
p
o
wer
p
r
o
jects
A
l
t
e
r
n
a
t
i
v
e
s
H
y
d
r
o
p
o
w
e
r
p
r
o
j
e
c
t
S
t
a
t
e
I
n
st
a
l
l
e
d
c
a
p
a
c
i
t
y
(
M
W
)
A
1
B
a
l
i
me
l
a
O
d
i
s
h
a
5
1
0
A
2
B
h
a
k
r
a
H
i
mac
h
a
l
P
r
a
d
e
s
h
1
3
2
5
A
3
H
i
r
a
k
u
d
O
d
i
s
h
a
3
4
7
A
4
I
n
d
i
r
a
S
a
g
a
r
M
a
d
h
y
a
P
r
a
d
e
s
h
1
0
0
0
A
5
P
o
n
g
H
i
mac
h
a
l
P
r
a
d
e
s
h
3
9
6
A
6
R
e
n
g
a
l
i
O
d
i
s
h
a
2
5
0
A
7
R
i
h
a
n
d
U
t
t
a
r
P
r
a
d
e
sh
3
0
0
A
8
S
a
r
d
a
r
S
a
r
o
v
a
r
G
u
j
r
a
t
1
4
5
0
A
9
S
h
a
r
a
v
a
t
h
i
K
a
r
n
a
t
a
k
a
1
0
3
5
A
10
S
r
i
sai
l
a
m
Te
l
a
n
g
a
n
a
7
7
0
A
11
Te
h
r
i
U
t
t
a
r
a
k
h
a
n
d
1
0
0
0
A
12
U
k
a
i
G
u
j
r
a
t
3
0
0
A
13
Up
p
e
r
I
n
d
r
a
v
a
t
i
O
d
i
s
h
a
6
0
0
A
14
U
p
p
e
r
K
o
l
a
b
O
d
i
s
h
a
3
2
0
3
.
2
.
Select
io
n o
f
ev
a
lua
t
io
n
cr
it
er
ia
T
h
e
s
ec
o
n
d
s
tep
is
v
er
y
cr
itica
l
u
n
d
er
MCDM
ap
p
r
o
ac
h
i.e
.
i
d
en
tific
atio
n
a
n
d
s
elec
tio
n
o
f
cr
iter
ia
to
co
m
p
ar
e
th
e
alter
n
ativ
es
with
r
esp
ec
t
to
a
p
ar
ticu
lar
p
er
s
p
e
ctiv
e.
Fo
r
s
u
s
tain
ab
ilit
y
ev
alu
atio
n
o
f
r
en
ewa
b
le
en
er
g
y
g
en
e
r
atio
n
tec
h
n
o
lo
g
i
es,
r
an
g
es
o
f
cr
iter
ia
s
h
o
u
ld
b
e
co
n
s
id
er
ed
[
3
7
]
.
T
h
e
ac
ce
s
s
ib
le
in
f
o
r
m
atio
n
i
n
ter
m
s
o
f
q
u
an
titativ
e
a
n
d
q
u
al
itativ
e
d
ata
o
f
alter
n
ativ
es
wil
l
d
ec
id
e
th
e
s
elec
tio
n
o
f
n
u
m
b
er
o
f
cr
iter
ia.
T
h
e
cr
iter
ia
s
elec
ted
in
th
e
p
r
esen
t
s
tu
d
y
f
o
r
r
an
k
in
g
o
f
h
y
d
r
o
p
o
wer
p
r
o
jects
b
ased
o
n
s
u
s
tain
ab
ilit
y
ar
e,
in
s
talled
ca
p
ac
ity
,
av
er
ag
e
elec
tr
icity
g
en
er
atio
n
,
ca
p
ac
ity
f
ac
to
r
,
co
s
t
o
f
g
en
er
atio
n
,
lan
d
u
s
e,
d
is
p
lace
m
en
t
o
f
p
eo
p
le,
s
af
ety
an
d
s
o
ci
al
b
e
n
ef
its
.
T
ab
le
3
p
r
esen
ts
th
e
s
u
m
m
ar
y
o
f
s
elec
ted
cr
iter
ia,
p
r
ef
er
en
ce
cr
iter
ia
to
b
e
m
ax
im
u
m
o
r
m
in
im
u
m
a
n
d
s
tu
d
ies
u
n
d
er
tak
e
n
wh
ich
s
u
p
p
o
r
ts
th
e
s
elec
tio
n
o
f
th
ese
cr
iter
ia.
T
h
e
s
tu
d
y
tak
es
in
to
ac
co
u
n
t
all
f
o
u
r
ty
p
es
o
f
cr
iter
ia
wh
ich
ar
e
well
k
n
o
w
n
p
illar
s
o
f
s
u
s
tain
ab
ilit
y
i.e
.
,
tech
n
o
-
ec
o
n
o
m
ic
,
ec
o
n
o
m
ic,
e
n
v
ir
o
n
m
en
tal
a
n
d
s
o
cial
as f
o
llo
ws:
3
.
2
.
1
.
T
ec
hn
o
-
ec
o
no
m
ic
T
h
e
cr
iter
ia
s
elec
ted
i
n
th
is
ty
p
e
ar
e
in
s
talled
ca
p
ac
ity
,
a
n
n
u
al
e
n
er
g
y
p
r
o
d
u
ctio
n
,
an
d
ca
p
ac
ity
f
ac
to
r
.
M
o
s
tly
in
th
e
av
ailab
le
lite
r
atu
r
e,
th
ese
c
r
iter
ia
ar
e
m
er
g
e
d
with
th
e
ec
o
n
o
m
ic
cr
iter
ia
[
3
7
]
,
[
3
8
]
,
wh
er
ea
s
s
o
m
e
h
a
v
e
co
n
s
id
er
e
d
th
em
in
tech
n
ical
o
r
g
en
e
r
a
tio
n
asp
ec
ts
[8
]
,
[
13]
.
T
h
e
r
ef
o
r
e,
in
th
e
p
r
esen
t
s
tu
d
y
,
th
ese
s
elec
ted
cr
iter
ia
h
av
e
b
ee
n
c
o
n
s
id
er
ed
as tec
h
n
o
-
e
co
n
o
m
ic
c
r
iter
ia.
−
I
n
s
talled
ca
p
ac
ity
:
I
n
th
e
p
r
es
en
t
s
tu
d
y
i
n
s
talled
ca
p
ac
ity
is
a
d
ir
ec
t
in
d
icatio
n
o
f
th
e
p
o
te
n
tial
to
g
en
e
r
ate
th
e
p
o
wer
.
−
E
lectr
icity
g
en
er
atio
n
p
er
y
e
ar
:
An
n
u
al
e
n
er
g
y
p
r
o
d
u
ctio
n
d
ir
ec
tly
im
p
r
o
v
es
th
e
ec
o
n
o
m
y
o
f
p
o
wer
p
r
o
jects.
−
C
ap
ac
it
y
f
ac
to
r
:
T
h
e
ca
p
ac
ity
f
ac
to
r
is
d
e
f
in
ed
as
th
e
r
atio
o
f
t
h
e
to
tal
ac
t
u
al
en
e
r
g
y
g
en
er
ated
o
v
er
a
d
ef
in
ite
p
e
r
io
d
,
to
th
e
e
n
er
g
y
th
at
wo
u
ld
h
a
v
e
b
ee
n
g
en
er
ated
if
th
e
p
o
wer
p
lan
t
h
ad
o
p
e
r
ated
co
n
tin
u
o
u
s
ly
at
th
e
m
ax
im
u
m
r
atin
g
.
C
ap
ac
ity
f
ac
to
r
s
h
o
ws
th
e
p
o
wer
p
r
o
ject
ca
p
ac
ity
to
p
r
o
d
u
ce
en
er
g
y
with
o
u
t a
n
y
k
in
d
o
f
d
e
f
ec
t o
r
b
r
ea
k
d
o
wn
.
3
.
2
.
2
.
E
co
no
m
ic
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
Ap
p
l Po
wer
E
n
g
I
SS
N:
225
2
-
8
7
9
2
R
a
n
kin
g
o
f h
yd
r
o
p
o
w
er p
r
o
jects b
a
s
ed
o
n
s
u
s
ta
in
a
b
ilit
y
crit
e
r
ia
in
I
n
d
ia
u
s
in
g
… (
A
n
u
ja
S
h
a
kta
w
a
t
)
237
T
h
is
cr
iter
io
n
r
ep
r
esen
ts
th
e
co
s
t
an
d
p
r
o
f
it
o
f
th
e
h
y
d
r
o
p
o
wer
p
r
o
jects
with
r
esp
ec
t
to
lo
n
g
ter
m
s
u
cc
ess
.
C
o
s
t
o
f
g
en
er
atio
n
:
I
t
is
a
m
ajo
r
cr
iter
io
n
r
eg
a
r
d
s
to
th
e
ec
o
n
o
m
ic
s
u
s
tain
ab
ilit
y
o
f
t
h
e
p
r
o
ject.
A
n
ec
o
n
o
m
ically
s
o
u
n
d
p
r
o
ject
b
e
ca
u
s
e
o
f
its
lo
w
g
en
er
atio
n
co
s
t o
f
f
er
s
g
o
o
d
in
v
estme
n
t
o
p
p
o
r
tu
n
ities
[
6
]
.
3
.
2
.
3
.
E
nv
iro
nm
ent
a
l
T
h
is
cr
iter
io
n
r
ep
r
esen
ts
th
e
p
r
o
ject’
s
en
v
ir
o
n
m
e
n
tal
af
f
in
ity
with
th
e
s
u
r
r
o
u
n
d
in
g
r
eg
io
n
an
d
ec
o
lo
g
y
.
L
an
d
u
s
e:
T
h
e
lan
d
u
s
e
in
th
e
f
o
r
m
o
f
th
e
r
ese
r
v
o
ir
m
a
y
d
estro
y
th
e
ec
o
s
y
s
tem
.
I
t
r
esu
lts
in
g
r
ee
n
h
o
u
s
e
g
as e
m
is
s
io
n
s
,
s
o
il e
r
o
s
io
n
,
s
ilt d
ep
o
s
itio
n
,
o
b
s
tr
u
ctio
n
to
f
is
h
m
ig
r
atio
n
.
T
h
e
l
an
d
co
v
e
r
ag
e
in
th
e
f
o
r
m
f
lo
o
d
in
g
ar
ea
o
f
d
am
ca
u
s
e
l
o
s
s
o
f
f
ar
m
in
g
p
lo
ts
,
lo
s
s
o
f
s
p
ir
itu
al
p
lace
s
an
d
in
cr
ea
s
e
in
f
ec
tio
u
s
d
is
ea
s
e
[
39
].
3
.
2
.
4
.
So
cia
l
T
h
e
s
o
cial
cr
iter
ia
in
d
icate
th
e
life
o
f
lo
ca
l
co
m
m
u
n
ities
af
f
ec
ted
o
r
b
en
ef
ited
b
y
th
e
co
n
s
tr
u
ctio
n
o
f
h
y
d
r
o
p
o
wer
p
r
o
jects.
Pu
b
lic
p
er
ce
p
tio
n
p
la
y
s
an
im
p
o
r
tan
t
r
o
le
in
th
e
d
ep
lo
y
m
e
n
t
o
f
h
y
d
r
o
p
o
wer
p
r
o
jects
[
40
].
−
Dis
p
lace
m
en
t
an
d
r
esettlem
e
n
t:
T
h
e
m
ain
s
o
cial
im
p
ac
t
o
f
th
e
co
n
s
tr
u
ctio
n
o
f
lar
g
e
h
y
d
r
o
p
o
wer
d
am
r
eser
v
o
ir
s
ar
e
th
e
d
is
p
lace
m
en
t
an
d
r
esettlem
en
t
o
f
af
f
ec
te
d
co
m
m
u
n
ities
.
T
h
is
f
o
r
ce
d
d
is
p
lace
m
en
t
an
d
th
e
r
esettli
n
g
p
r
o
ce
s
s
d
o
n
o
t
g
u
ar
an
tee
th
e
s
am
e
life
th
at
ex
i
s
ted
b
ef
o
r
e.
Hen
ce
f
r
o
m
a
s
u
s
t
ain
ab
ilit
y
p
o
in
t
o
f
v
iew
r
esettlem
en
t o
r
d
is
p
lace
m
en
t sh
o
u
ld
b
e
m
in
im
u
m
.
−
Saf
ety
:
As
f
ar
as
th
e
s
af
ety
o
f
h
y
d
r
o
p
o
we
r
p
r
o
jects
is
co
n
ce
r
n
e
d
,
th
e
f
ailu
r
e
o
f
d
a
m
s
ca
u
s
ed
b
y
ea
r
th
q
u
ak
es
s
till
r
em
ain
s
a
s
er
io
u
s
th
r
ea
t
as
t
h
ey
a
r
e
ca
p
ab
le
to
co
m
p
letely
b
r
ea
k
th
e
d
am
with
th
e
en
e
r
g
y
r
elea
s
ed
f
r
o
m
th
e
ev
e
n
t
[
41
]
.
B
ased
o
n
th
e
h
is
to
r
ical
s
eis
m
ic
ac
tiv
ity
,
th
e
r
eg
io
n
s
o
f
I
n
d
ia
h
av
e
b
ee
n
class
if
ied
in
to
f
o
u
r
s
eismic
z
o
n
es
b
y
th
e
B
u
r
ea
u
o
f
I
n
d
ian
Stan
d
ar
d
s
.
T
h
ese
ar
e
zo
n
e
I
I
(
lo
w
-
in
ten
s
ity
zo
n
e)
,
z
o
n
e
I
I
I
(
m
o
d
er
ate
in
ten
s
ity
zo
n
e)
,
z
o
n
e
I
V
(
s
ev
e
r
e
in
ten
s
ity
zo
n
e
)
an
d
zo
n
e
V
(
v
er
y
s
ev
e
r
e
in
ten
s
ity
zo
n
e)
.
B
ased
o
n
th
e
zo
n
e
o
n
w
h
ich
s
elec
ted
d
am
s
f
all,
s
af
ety
is
m
ar
k
ed
in
th
e
s
c
ale
o
f
(
1
-
4
)
.
T
h
e
d
am
s
wh
ich
f
all
o
n
zo
n
e
I
I
h
av
e
b
ee
n
s
ca
led
4
i.e
s
af
er
c
o
m
p
ar
ed
to
o
th
er
zo
n
es.
Similar
ly
s
ca
lin
g
f
o
r
zo
n
e
I
I
I
is
3
,
zo
n
e
I
V
is
2
an
d
zo
n
e
V
is
1
r
esp
ec
tiv
ely
.
−
So
cial
b
en
ef
its
: T
h
e
b
en
ef
its
s
u
ch
as ir
r
ig
atio
n
,
f
lo
o
d
co
n
tr
o
l
,
r
ec
r
ea
tio
n
a
lo
n
g
with
g
en
er
at
io
n
ar
e
also
th
e
m
ajo
r
cr
iter
ia
f
r
o
m
a
s
u
s
tain
ab
ilit
y
p
o
in
t o
f
v
iew
[
3
7
]
,
[
39
]
.
T
h
e
s
elec
ted
h
y
d
r
o
p
o
wer
p
r
o
jects we
r
e
s
ca
led
o
n
(
1
-
4
)
b
ased
o
n
th
e
b
en
ef
its
th
ey
ar
e
p
r
o
v
id
in
g
.
Fo
r
e
x
am
p
le,
th
e
h
y
d
r
o
p
o
wer
p
r
o
jects
wh
i
ch
s
er
v
e
th
e
p
r
o
p
o
s
e
o
f
o
n
ly
p
o
wer
g
en
er
a
tio
n
wer
e
s
ca
led
as
1
an
d
h
y
d
r
o
p
o
wer
p
r
o
jects
wh
ich
s
er
v
e
th
e
p
u
r
p
o
s
e
o
f
g
en
er
atio
n
,
ir
r
ig
atio
n
,
f
lo
o
d
co
n
tr
o
l,
an
d
r
ec
r
ea
tio
n
was scale
d
as 4
r
esp
ec
tiv
ely
.
T
ab
le
3
.
Su
m
m
a
r
y
o
f
s
elec
ted
cr
iter
ia
C
r
i
t
e
r
i
o
n
Ty
p
e
U
n
i
t
P
r
e
f
e
r
e
n
c
e
C
r
i
t
e
r
i
o
n
R
e
f
e
r
e
n
c
e
s
t
u
d
y
I
n
st
a
l
l
e
d
c
a
p
a
c
i
t
y
(
C
1
)
Te
c
h
n
o
-
e
c
o
n
o
mi
c
MW
M
a
x
i
m
u
m
[8
]
,
[
3
8
]
El
e
c
t
r
i
c
i
t
y
g
e
n
e
r
a
t
i
o
n
p
e
r
y
e
a
r
(
C
2
)
Te
c
h
n
o
-
e
c
o
n
o
mi
c
M
U
/
y
e
a
r
M
a
x
i
m
u
m
[8
]
,
[
13
]
C
a
p
a
c
i
t
y
f
a
c
t
o
r
(
C
3
)
Te
c
h
n
o
-
e
c
o
n
o
mi
c
p
e
r
c
e
n
t
a
g
e
M
a
x
i
m
u
m
[
42
]
C
o
s
t
o
f
g
e
n
e
r
a
t
i
o
n
(
C
4
)
Ec
o
n
o
mi
c
Pa
i
sa
/
k
W
h
M
i
n
i
m
u
m
[8
]
,
[
3
7
]
La
n
d
u
se
(
C
5
)
En
v
i
r
o
n
m
e
n
t
a
l
h
e
c
t
o
r
M
i
n
i
m
u
m
[
9
]
,
[
1
3
]
,
[
37
]
D
i
sp
l
a
c
e
me
n
t
(
C
6
)
S
o
c
i
a
l
P
e
r
so
n
s
M
i
n
i
m
u
m
[8
]
,
[
9]
,
[
37
]
S
a
f
e
t
y
(
C
7
)
S
o
c
i
a
l
Q
u
a
l
i
t
a
t
i
v
e
(
1
-
4)
M
a
x
i
m
u
m
[
8
]
S
o
c
i
a
l
b
e
n
e
f
i
t
s (
C
8
)
S
o
c
i
a
l
Q
u
a
l
i
t
a
t
i
v
e
(
1
-
4)
M
a
x
i
m
u
m
[2
]
,
[
37
]
3
.
3
.
Weig
hts c
a
lcula
t
io
n o
f
c
rit
er
ia
by
AH
P
T
h
e
cr
iter
ia
weig
h
ts
b
y
AHP
m
eth
o
d
s
ar
e
ca
lcu
lated
p
er
t
h
e
s
tep
s
m
en
tio
n
ed
in
s
ec
tio
n
2
.
1
.
T
ab
le
4
p
r
esen
ts
th
e
v
alu
e
o
f
weig
h
ts
.
Usi
n
g
s
tep
s
v
i
-
v
iii m
en
tio
n
ed
in
s
ec
tio
n
2
.
1
,
th
e
v
alu
e
o
f
C
R
o
b
tain
ed
is
0
.
0
5
7
8
wh
ich
is
ac
ce
p
tab
le
u
n
d
e
r
lim
it
C
R
≤
0
.
1
.
T
h
er
ef
o
r
e,
th
er
e
ex
is
t
th
e
co
n
s
is
ten
cy
in
weig
h
ts
an
d
ca
n
b
e
u
s
ed
f
o
r
th
e
s
u
s
tain
ab
ilit
y
ass
ess
m
en
t.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
7
9
2
I
n
t J
Ap
p
l Po
wer
E
n
g
,
Vo
l.
10
,
No
.
3
,
Sep
tem
b
er
2
0
2
1
:
2
3
0
–
243
238
=
[
1
1
5
⁄
1
5
⁄
1
7
⁄
1
3
⁄
1
3
⁄
3
1
3
⁄
5
1
1
1
3
3
5
3
5
1
1
1
3
⁄
3
3
5
3
3
1
3
⁄
1
3
⁄
1
5
⁄
1
1
3
3
3
1
3
⁄
1
3
⁄
1
5
⁄
1
1
3
3
7
1
3
1
5
5
5
7
1
3
⁄
1
5
⁄
1
5
⁄
1
5
⁄
1
3
⁄
1
3
⁄
1
1
3
⁄
3
1
3
⁄
1
3
⁄
1
7
⁄
1
3
⁄
1
3
⁄
3
1
]
T
ab
le
4
.
C
r
iter
ia
weig
h
ts
ca
lc
u
lated
u
s
in
g
AHP
C
r
i
t
e
r
i
o
n
G
M
C
r
i
t
e
r
i
o
n
w
e
i
g
h
t
(
W
)
X
=
B
.
W
CV
C
1
0
.
3
9
8
4
0
.
0
3
6
8
0
.
3
2
3
6
8
.
7
9
2
5
C
2
2
.
2
5
7
7
0
.
2
0
8
6
1
.
7
2
0
8
8
.
2
5
C
3
1
.
9
6
8
0
.
1
8
1
8
1
.
5
1
0
7
8
.
3
0
8
7
C
4
3
.
4
1
2
2
0
.
3
1
5
2
2
.
7
2
4
8
8
.
6
4
3
6
C
5
0
.
9
3
8
1
0
.
0
8
6
7
0
.
7
2
9
6
8
.
4
1
7
6
C
6
0
.
9
3
8
1
0
.
0
8
6
7
0
.
7
2
9
6
8
.
4
1
7
6
C
7
0
.
3
1
5
7
0
.
0
2
9
2
0
.
2
5
8
7
8
.
8
6
9
4
C
8
0
.
5
9
5
8
0
.
0
5
5
0
.
4
8
6
8
.
8
2
8
9
λ
max
=
A
v
g
(
C
V
)
8
.
5
6
6
0
3
.
4
.
Su
s
t
a
ina
bil
it
y
ra
nk
ing
o
f
hy
dro
po
wer
pro
j
ec
t
s
T
h
e
v
alu
es
o
f
th
e
s
elec
ted
cr
iter
io
n
f
o
r
h
y
d
r
o
p
o
wer
p
r
o
ject
s
(
alter
n
ativ
es)
ar
e
p
r
esen
ted
in
T
ab
le
5
alo
n
g
with
weig
h
ts
ca
lcu
lated
u
s
in
g
AHP
as
s
h
o
wn
in
T
ab
le
4
.
T
ab
le
5
will b
e
th
e
in
p
u
t d
e
cisi
o
n
m
atr
ix
to
all
th
e
m
eth
o
d
s
em
p
lo
y
ed
f
o
r
s
u
s
tain
ab
ilit
y
r
an
k
i
n
g
o
f
h
y
d
r
o
p
o
wer
p
r
o
jects
wh
e
r
ein
C
1,
C
2,
C
3,
C
7,
C
8
ar
e
b
en
ef
icial
cr
iter
ia
(
lar
g
er
th
e
b
etter
)
an
d
C
4,
C
5,
C
6
ar
e
c
o
s
t
cr
iter
ia
(
s
m
aller
th
e
b
ette
r
)
.
T
h
e
r
a
n
k
in
g
o
f
h
y
d
r
o
p
o
wer
p
r
o
jects is
b
ased
o
n
th
e
f
o
llo
win
g
s
elec
ted
m
et
h
o
d
s
:
T
ab
le
5
.
Valu
es
f
o
r
s
elec
ted
cr
iter
io
n
f
o
r
ea
ch
s
elec
ted
alter
n
ativ
e
a
C
1
C
2
C
3
C
4
C
5
C
6
C
7
C
8
A
1
5
1
0
1
2
4
0
.
9
3
28
8
8
.
2
2
1
7
4
9
6
1
0
0
0
0
2
4
A
2
1
3
2
5
6
1
1
7
53
3
3
.
0
7
1
6
6
0
0
3
6
0
0
0
3
2
A
3
3
4
7
5
6
4
.
4
9
19
1
2
7
.
6
4
7
4
3
0
0
1
1
0
0
0
2
3
A
4
1
0
0
0
2
5
4
2
.
7
2
29
2
4
3
.
8
6
9
0
8
2
0
8
0
5
0
0
2
3
A
5
3
9
6
1
3
1
5
.
4
8
38
2
3
.
6
2
2
9
0
0
0
1
5
0
0
0
0
2
2
A
6
2
5
0
7
1
0
.
1
32
1
0
8
.
0
9
4
1
4
5
0
0
8
0
0
0
0
3
4
A
7
3
0
0
5
7
2
.
1
1
22
55
4
6
9
0
0
6
0
0
0
0
2
3
A
8
1
4
5
0
2
9
0
9
23
2
0
5
3
7
5
9
0
3
2
0
0
0
0
2
3
A
9
1
0
3
5
5
1
4
7
.
4
7
57
2
7
.
6
9
5
9
2
1
1
2
5
0
0
1
3
A
10
7
7
0
1
1
4
1
.
0
4
17
3
9
8
.
2
6
0
6
2
9
1
0
0
0
0
0
2
4
A
11
1
0
0
0
2
9
6
7
.
1
3
34
5
8
7
4
2
0
0
1
0
0
0
0
0
2
2
A
12
3
0
0
7
0
8
.
7
3
27
33
6
0
0
0
0
8
0
0
0
0
3
3
A
13
6
0
0
2
5
9
7
.
2
3
49
8
0
.
4
2
1
1
0
0
0
2
6
5
0
5
2
4
A
14
3
2
0
7
0
2
.
7
25
4
9
.
8
4
1
1
3
5
0
1
5
8
9
5
2
4
We
i
g
h
t
(
Wj
)
0
.
0
3
6
8
0
.
2
0
8
6
0
.
1
8
1
8
0
.
3
1
5
2
0
.
0
8
6
7
0.
0
8
6
7
0
.
0
2
9
2
0
.
0
5
5
a
V
a
l
u
e
s o
f
c
r
i
t
e
r
i
a
(
C
1
,
C
2
, C
4
,
C
5
, C
6
)
f
o
r
sel
e
c
t
e
d
h
y
d
r
o
p
o
w
e
r
p
r
o
j
e
c
t
s
i
s t
a
k
e
n
f
r
o
m
[
4
3
]
,
[
4
4
]
a
n
d
v
a
l
u
e
s
f
o
r
c
r
i
t
e
r
i
a
(
C
3
,
C
7
,
C
8
)
i
s c
a
l
c
u
l
a
t
e
d
a
s
d
i
s
c
u
ss
e
d
i
n
s
e
c
t
i
o
n
3
.
2
u
si
n
g
d
a
t
a
f
r
o
m t
h
e
w
e
b
si
t
e
o
f
s
p
e
c
i
f
i
c
h
y
d
r
o
p
o
w
e
r
p
r
o
j
e
c
t
s.
3
.
4
.
1
.
T
he
T
O
P
SI
S m
et
ho
d
As
p
er
th
e
s
tep
s
elab
o
r
ated
in
s
ec
tio
n
2
.
2
.
1
,
T
ab
le
5
is
th
e
in
p
u
t
d
ec
is
io
n
m
atr
ix
f
o
r
T
OPSIS
an
aly
s
is
.
T
h
e
n
o
r
m
alize
d
d
ec
i
s
io
n
m
atr
ix
is
ca
lcu
lated
u
s
in
g
(
8
)
.
Fu
r
th
er
th
e
r
an
k
o
f
alte
r
n
ativ
es
is
o
b
tain
ed
b
y
f
o
llo
win
g
th
e
s
tep
s
iii
–
v
i
as
m
en
tio
n
ed
in
s
ec
ti
on
2
.
2
.
1
.
T
ab
le
6
p
r
esen
ts
th
e
r
esu
lts
o
b
tain
ed
b
y
T
OPSIS
m
eth
o
d
.
L
astl
y
,
ac
co
r
d
in
g
to
th
e
v
alu
e
o
f
Ri
,
th
e
r
an
k
in
g
i
s
g
iv
en
to
alter
n
ativ
es
as
A
2
–
A
9
–
A
13
–
A
5
–
A
1
–
A
14
–
A
12
–
A
7
–
A
3
–
A
8
–
A
4
–
A
6
–
A
10
–
A
11
.
Hen
ce
it
ca
n
b
e
co
n
clu
d
e
d
th
at
h
y
d
r
o
p
o
wer
p
r
o
ject
A
2
i.e
.
B
h
ak
r
a
an
d
A
9
i.e
.
Sh
ar
av
ath
i a
r
e
m
o
s
t su
s
tain
ab
le
h
y
d
r
o
p
o
wer
p
r
o
jects u
n
d
er
t
h
e
g
iv
en
eig
h
t c
r
iter
ia.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
Ap
p
l Po
wer
E
n
g
I
SS
N:
225
2
-
8
7
9
2
R
a
n
kin
g
o
f h
yd
r
o
p
o
w
er p
r
o
jects b
a
s
ed
o
n
s
u
s
ta
in
a
b
ilit
y
crit
e
r
ia
in
I
n
d
ia
u
s
in
g
… (
A
n
u
ja
S
h
a
kta
w
a
t
)
239
T
ab
le
6
.
T
OPSIS m
eth
o
d
r
esu
lts
C
1
C
2
C
3
C
4
C
5
C
6
C
7
C
8
+
−
A
1
0
.
0
0
6
3
0
.
0
2
5
7
0
.
0
3
9
4
0
.
0
3
4
3
0
.
0
0
3
4
0
.
0
0
2
1
0
.
0
0
7
1
0
.
0
1
8
2
0
.
1
1
2
6
0
.
2
2
0
1
0
.
6
6
1
6
A
2
0
.
0
1
6
5
0
.
1
2
6
9
0
.
0
7
4
5
0
.
0
1
2
9
0
.
0
0
3
2
0
.
0
0
7
6
0
.
0
1
0
6
0
.
0
0
9
1
0
.
0
1
2
9
0
.
2
6
8
5
0
.
9
5
4
3
A
3
0
.
0
0
4
3
0
.
0
1
1
7
0
.
0
2
6
7
0
.
0
4
9
7
0
.
0
1
4
5
0
.
0
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2
3
0
.
0
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7
1
0
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0
1
3
7
0
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1
3
4
8
0
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2
0
1
5
0
.
5
9
9
3
A
4
0
.
0
1
2
4
0
.
0
5
2
7
0
.
0
4
0
8
0
.
0
9
4
9
0
.
0
1
7
7
0
.
0
1
6
9
0
.
0
0
7
1
0
.
0
1
3
7
0
.
1
2
2
3
0
.
1
6
2
6
0
.
5
7
0
7
A
5
0
.
0
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4
9
0
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0
2
7
3
0
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0
5
3
4
0
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0
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2
0
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0
0
5
6
0
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0
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0
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0
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7
1
0
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0
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9
1
0
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1
0
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6
0
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2
3
6
9
0
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6
8
5
7
A
6
0
.
0
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3
1
0
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0
1
4
7
0
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0
4
5
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0
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0
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2
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0
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0
8
0
7
0
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0
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0
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0
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0
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4
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1
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1
A
7
0
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0
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0
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1
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0
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0
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0
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3
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0
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1
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3
0
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2
2
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0
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6
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6
A
8
0
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0
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0
0
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0
3
0
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0
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2
3
0
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9
8
0
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1
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5
0
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1
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3
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0
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7
A
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2
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3
,
T
ab
le
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h
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k
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.
,
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n
d
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ca
lcu
lated
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s
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g
(
1
7
)
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(
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)
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d
(
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)
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d
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p
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8.
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ab
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7
.
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l
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T
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L
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RE
m
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h
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k
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d
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f
th
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L
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m
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r
eq
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to
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q
,
p
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d
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th
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ld
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r
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ia.
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h
e
s
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al
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es
o
f
th
r
esh
o
ld
s
f
o
r
cr
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ia
ar
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p
r
esen
ted
in
T
ab
le
9
.
T
a
b
le
1
0
p
r
esen
ts
th
e
(
1
,
2
)
,
co
n
co
r
d
an
ce
c
r
ed
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ilit
y
(
∅
+
)
,
d
is
c
o
r
d
an
ce
cr
ed
ib
ilit
y
(
∅
−
)
an
d
n
et
c
r
ed
ib
ilit
y
(
∅
)
ca
lcu
lated
u
s
in
g
(
2
8
)
,
(
2
9
)
an
d
(
3
0
)
an
d
f
in
ally
th
e
r
an
k
in
g
to
th
e
alter
n
ativ
es
is
g
iv
en
ac
co
r
d
in
g
to
th
e
v
alu
e
o
f
(
∅
)
.
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