Application of Interval-Fuzzy Linear Programming for Total Amount Control Optimization Model on Regional Atmospheric Pollutants

Jing Ya Wen; Ze Sen Wang; Yan Hu; Zhuang Li; Yu Li

doi:10.4028/www.scientific.net/AMM.316-317.493

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 316-317Application of Interval-Fuzzy Linear Programming...

Application of Interval-Fuzzy Linear Programming for Total Amount Control Optimization Model on Regional Atmospheric Pollutants

Abstract:

Aiming at the harsh environmental situation at present, this paper applied the interval fuzzy linear programming method, and combines environmental management policy about the total control of regional atmospheric pollution, to set up an optimization model for total amount control of regional atmospheric pollutants under uncertainty. Through the model results, the total cost of reduction in instance case was [119.98, 125.82] (10⁸ yuan), and the membership of SO₂ and NO_X predicted through the model were [31.00, 32.64] and [23.62, 25.94] (10⁴ tons), respectively. This model could get the minimum total cost of emission reduction, and be used as the technique and theory guider for the total amount control of atmospheric pollutants.

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Periodical:

Applied Mechanics and Materials (Volumes 316-317)

Pages:

493-496

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.316-317.493

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Online since:

April 2013

Authors:

Jing Ya Wen, Ze Sen Wang, Yan Hu, Zhuang Li, Yu Li

Keywords:

Atmospheric Pollutants, Emission Reduction, Environmental Management, Interval-Fuzzy Linear Programming, Regional Total Amount Control

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