模糊随机不确定性下区域经济环境系统的优化。
Optimization of regional economic and environmental systems under fuzzy and random uncertainties.
机构信息
MOE Key Laboratory of Regional Energy Systems Optimization, S-C Energy and Environmental Research Academy, North China Electric Power University, Beijing 102206, China.
出版信息
J Environ Manage. 2011 Aug;92(8):2010-20. doi: 10.1016/j.jenvman.2011.03.022. Epub 2011 Apr 13.
Environmental problems associated with socio-economic development have been growing concerns faced by many regional and/or national authorities. However, effective planning may encounter difficulties since uncertainties existing in a number of impact factors and pollution-related processes are often not well acknowledged and reflected. This study advances an interval-fuzzy chance-constrained programming (IFCP) method for planning regional economic and environmental systems, where uncertainties presented as intervals, fuzzy sets and probability distributions can be tackled. The developed method is applied to a real-world case for economic and environmental planning in the New Binhai District in the Municipality of Tianjin, China. Two scenarios based on multiple environmental constraints are examined. The results can help identify desired alternatives for planning regional development strategies, where compromised schemes are provided under an integrated consideration of economic efficiency and environmental protection under multiple uncertainties.
与社会经济发展相关的环境问题一直是许多地区和/或国家当局面临的日益关注的问题。然而，有效的规划可能会遇到困难，因为许多影响因素和污染相关过程中的不确定性往往没有得到很好的认识和反映。本研究提出了一种区间模糊机会约束规划（IFCP）方法，用于规划区域经济和环境系统，其中可以处理不确定性表现为区间、模糊集和概率分布的情况。所开发的方法应用于中国天津市新滨海区经济和环境规划的实际案例。研究了基于多个环境约束的两种情景。研究结果有助于确定规划区域发展战略的理想方案，在综合考虑多种不确定性下的经济效率和环境保护的情况下，提供了折衷方案。
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