A fuzzy fractional chance-constrained programming model for air quality management under uncertainty. Issue 1 (2nd January 2016)

• Record Type: Journal Article
• Authors: Liu, Feng; Wen, Zhi; Xu, Ye
• Is Part Of: Engineering optimization. Volume 48:Issue 1(2016)
• Page Start: 135
• Page End: 153
• Publication Date: 2016-01-02
• Subjects: fractional programming -- fuzzy chance-constrained programming -- ratio -- air quality management -- Fengrun district; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2014.998661
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : A fuzzy fractional chance-constrained programming model (FFCCPM) was developed for dealing with air quality management under uncertainty. FFCCPM integrates a fractional programming model and a double-sided fuzzy chance-constrained programming model. It considers the ratio between total treated pollutant amounts and system cost in the objective function; the constraints with fuzzy variables can be satisfied under some predetermined confidence levels and reliability scenarios. The air quality management system in Fengrun district, Tangshan City, China, was used to demonstrate the applicability of the proposed method. The obtained results indicated that the proposed model was suitable in describing and providing an overview of a studied management system for decision makers, generating various cost-effective air pollution-abatement alternatives. The strategy with a balance between system economy and reliability was recommended for decision makers. The successful application of FFCCPM in Fengrun district provides a good example of real-world regional air quality management.