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首页> 外文期刊>Engineering Optimization >An inexact double-sided chance-constrained model for air quality management in Nanshan District, Shengzhen, China
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An inexact double-sided chance-constrained model for air quality management in Nanshan District, Shengzhen, China

机译：中国深圳市南山区空气质量管理的不精确双面机会约束模型

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摘要

In this study, an inexact double-sided fuzzy-random-chance-constrained programming (IDSFRCCP) model was developed for supporting air quality management of the Nanshan District of Shenzhen, China, under uncertainty. IDSFRCCP is an integrated model incorporating interval linear programming and double-sided fuzzy-random-chance-constrained programming models. It can express uncertain information as both fuzzy random variables and discrete intervals. The proposed model was solved based on the stochastic and fuzzy chance-constrained programming techniques and an interactive two-step algorithm. The air quality management system of Nanshan District, including one pollutant, six emission sources, six treatment technologies and four receptor sites, was used to demonstrate the applicability of the proposed method. The results indicated that the IDSFRCCP was capable of helping decision makers to analyse trade-offs between system cost and risk of constraint violation. The mid-range solutions tending to lower bounds with moderate α_h and q_i values were recommended as decision alternatives owing to their robust characteristics.
机译：在这项研究中，开发了一种不精确的双面模糊随机机会约束规划（IDSFRCCP）模型，以支持不确定条件下中国深圳南山区的空气质量管理。 IDSFRCCP是集成了区间线性规划和双面模糊随机机会约束规划模型的集成模型。它可以将不确定信息表示为模糊随机变量和离散区间。该模型基于随机和模糊机会约束编程技术以及交互式两步算法进行求解。利用南山区空气质量管理体系，包括一种污染物，六种排放源，六种处理技术和四个受体部位，证明了该方法的适用性。结果表明，IDSFRCCP能够帮助决策者分析系统成本与违反约束风险之间的权衡。由于其稳健的特性，建议将倾向于以中等α_h和q_i值下界的中程解作为决策选择。

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