Development of an Improved Fuzzy Robust Chance-Constrained Programming Model for Air Quality Management
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
http://link.springer.com/content/pdf/10.1007/s10666-014-9441-3.pdf
Reference22 articles.
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2. Ellis, J. H., McBean, E. A., & Farquhar, G. J. (1986). Chance-constrained stochastic linear programming model for acid rain abatement-II. Limited colinearity. Atmospheric Environment, 20(3), 501–511.
3. Guldman, J. M. (1988). Chance-constrained dynamic model of air quality management. Fuzzy Sets and Systems, 114(5), 1116–1126.
4. Lu, H. W., Huang, G. H., & Maqsood, I. (2010). Development of an inexact fuzzy flexible programming approach for environmental pollution control. Engineering Optimization, 42(12), 1163–1176.
5. Xu, T. Y., & Qin, X. S. (2014). Integrating decision analysis with fuzzy programming: application in urban water distribution system operation. Journal of Water Resources Planning and Management (ASCE), 140(5), 638--648.
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