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Journal of the Air & Waste Management Association Volume 56, 2006 - Issue 8
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Technical Paper

Two-Stage Fuzzy-Stochastic Robust Programming: A Hybrid Model for Regional Air Quality Management

Yongping Li Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan, Canada
,
Guo H. Huang Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan, CanadaCorrespondence[email protected]
,
Amornvadee Veawab Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan, Canada
,
Xianghui Nie Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan, Canada
&
Lei Liu Department of Civil Engineering Dalhousie University, Halifax, Nova Scotia, Canada; Center of Energy and Environmental Research, North China Electric Power University, Beijing, >Republic of China
Pages 1070-1082 | Published online: 27 Feb 2012

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Feng Liu, Zhi Wen & Ye Xu. (2016) A fuzzy fractional chance-constrained programming model for air quality management under uncertainty. Engineering Optimization 48:1, pages 135-153.
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S. Wang & G.H. Huang. (2013) A coupled factorial-analysis-based interval programming approach and its application to air quality management. Journal of the Air & Waste Management Association 63:2, pages 179-189.
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Y. Xu, G. H. Huang, L. G. Shao & C. Chen. (2012) Efficient management of air quality considering fuzzy confidences with varied reliabilities. Engineering Optimization 44:8, pages 947-964.
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Yurui Fan, Guohe Huang & Amornvadee Veawab. (2012) A generalized fuzzy linear programming approach for environmental management problem under uncertainty. Journal of the Air & Waste Management Association 62:1, pages 72-86.
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Y.P. Li, G.H. Huang, X. Chen & S.Y. Cheng. (2009) Interval-Parameter Robust Minimax-regret Programming and Its Application to Energy and Environmental Systems Planning. Energy Sources, Part B: Economics, Planning, and Policy 4:3, pages 278-294.
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Y.P. Li, G.H. Huang, X.S. Qin & S.L. Nie. (2008) IFTCP: An Integrated Method for Petroleum Waste Management under Uncertainty. Petroleum Science and Technology 26:7-8, pages 912-936.
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