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在“
自然资源管理
”中,
命中:
4
条,耗时:小于0.01 秒
1.
A mu
l
tistage stochastic robust optimization mode
l
with fuzz
y
probabi
l
it
y
distribution for water supp
ly
management under uncertaint
y
作者:
Y
.
L
.
Xie
;
D. H. Xia
;
G. H.
Huang
;
W.
L
i…
关键词:
Inexact mu
l
tistage stochastic programming
;
Robust optimization
;
Water resources a
ll
ocation
;
Fuzz
y
probabi
l
it
y
;
Uncertaint
y
刊名:Stochastic Environmenta
l
Research and Risk Assessment
出版者:Springer Ber
l
in Heide
l
berg
年:20
1
7
2.
An inexact mixed risk-aversion two-stage stochastic programming mode
l
for water resources management under uncertaint
y
作者:
W.
L
i (
1
) B. Wang (
1
)
Y
. L.
Xie
(
1
) G. H.
Huang
(
1
) L. Liu (2)
1
. MOE Ke
y
Laborator
y
of Regiona
l
Energ
y
and Environmenta
l
S
y
stems Optimization
;
Resources and Environmenta
l
Research Academ
y
;
North China E
l
ectric Power Universit
y
;
1
02206
;
Beijing
;
China 2. Department of Civi
l
and Resource Engineering
;
Da
l
housie Universit
y
;
1
360 Barrington St.
;
B
l
dg.D
;
Rm.D2
1
5
;
PO Box
1
5000
;
Ha
l
ifax
;
NS
;
B3H 4R2
;
Canada
关键词:
Two
;
stage stochastic programming
;
Interva
l
;
parameter programming
;
Risk
;
aversion
;
Water a
ll
ocation
;
Uncertaint
y
刊名:Environmenta
l
Science and Po
ll
ution Research
出版者:Springer Ber
l
in / Heide
l
berg
年:20
1
5
3.
Deve
l
opment of an inexact two-stage stochastic mode
l
with downside risk contro
l
for water qua
l
it
y
management and decision ana
ly
sis under uncertaint
y
作者:
Y
.
L
.
Xie
(
1
) G. H.
Huang
(
1
)
关键词:
Inexact two
;
stage stochastic programming
;
Downside risk contro
l
;
Water quantit
y
and qua
l
it
y
;
Decision ana
ly
sis
;
Uncertaint
y
刊名:Stochastic Environmenta
l
Research and Risk Assessment (SERRA)
年:20
1
4
4.
An inexact two-stage stochastic programming mode
l
for water resources management in Nansihu Lake Basin, China
作者:
Y
.
L
.
Xie
;
G.H.
Huang
;
W.
L
i
;
J.B.
L
i
;
Y
.F.
L
i
关键词:
Inexact two-stage stochastic programming
;
Mu
l
ti-users
;
Mu
l
ti-regiona
l
;
Water resources a
ll
ocation
;
Uncertaint
y
刊名:Journa
l
of Environmenta
l
Management
年:20
1
3
1
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