Article ID: | iaor20042277 |
Country: | United Kingdom |
Volume: | 35 |
Issue: | 2 |
Start Page Number: | 177 |
End Page Number: | 199 |
Publication Date: | Apr 2003 |
Journal: | Engineering Optimization |
Authors: | Liu L., Huang G.H., Liu Y., Fuller G.A., Zeng G.M. |
Keywords: | fuzzy sets, stochastic processes |
This paper proposes a hybrid fuzzy-stochastic robust programming (FSRP) method and applies it to a case study of regional air quality management. As an extension of the existing fuzzy-robust programming and chance-constrained programming methods, FRSP can explicitly address complexities and uncertainties without unrealistic simplifications. Parameters in the FRSP model can be expressed as PDF's and/or membership functions, such that robustness of the optimization process can be enhanced. In its solution process, the FSRP model is converted to a deterministic version through transforming