Journal
ENVIRONMENTAL MODELING & ASSESSMENT
Volume 13, Issue 1, Pages 77-91Publisher
SPRINGER
DOI: 10.1007/s10666-006-9077-z
Keywords
air quality; decision-making; fuzzy robust programming; interval analysis; stochastic optimization; uncertainty
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In this study, an inexact fuzzy-robust two-stage programming (IFRTSP) method is developed for tackling multiple forms of uncertainties that can be expressed as discrete intervals, probabilistic distributions and/or fuzzy membership functions. The model can reflect economic penalties of corrective measures against any infeasibilities arising due to a particular realization of system uncertainties. Moreover, the fuzzy decision space can be delimited into a more robust one with the uncertainties being specified through dimensional enlargement of the original fuzzy constraints. A management problem in terms of regional air pollution control has been studied to illustrate the applicability of the proposed approach. Results indicate that useful solutions for planning the air quality management practices have been generated. They can help decision makers identify desired pollution-abatement strategy with minimized system cost and maximized environmental efficiency.
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