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An Inexact Fuzzy-robust Two-stage Programming Model for Managing Sulfur Dioxide Abatement Under Uncertainty

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Abstract

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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Acknowledgement

This research has been supported by the Major State Basic Research Development Program of China (2005CB724201 and 2005CB724207) and the Natural Science and Engineering Research Council of Canada. The authors are grateful to the editors and the anonymous reviewers for their insightful comments and suggestions.

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Authors and Affiliations

  1. Environmental Systems Engineering Program, University of Regina, Regina, SK, S4S 0A2, Canada

    Y. P. Li

  2. Sino-Canada Center for Studies in Energy and Environment, North China Electric Power University and University of Regina, Regina, SK, S4S 0A2, Canada

    G. H. Huang & X. H. Nie

  3. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China

    S. L. Nie

Authors
  1. Y. P. Li
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  2. G. H. Huang
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  3. X. H. Nie
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  4. S. L. Nie
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Correspondence to G. H. Huang.

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Li, Y.P., Huang, G.H., Nie, X.H. et al. An Inexact Fuzzy-robust Two-stage Programming Model for Managing Sulfur Dioxide Abatement Under Uncertainty. Environ Model Assess 13, 77–91 (2008). https://doi.org/10.1007/s10666-006-9077-z

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