IFMEP: an interval fuzzy multiobjective environmental planning model for urban systems

As a complex system, the urban environment usually presents multiobjective, uncertain, and dynamic characteristics, which leads to difficulties in urban environmental planning. In this study, an interval fuzzy multiobjective programming method is proposed for tackling such problems and the associate...

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Bibliographic Details
Published in:Civil engineering and environmental systems 2008-06, Vol.25 (2), p.99-125
Main Authors: Chen, Bing, Guo, Huaicheng, Huang, Guohe, Yin, Yongyuan, Zhang, Baiyu
Format: Article
Language:English
Subjects:
Applied sciences
Buildings. Public works
case studies
China, People's Rep
China, People's Rep., Yunnan Prov., Kunming
Computation methods. Tables. Charts
decision making
environmental planning
Exact sciences and technology
Feasibility studies
fuzzy
interval
multiobjective programming
Project management. Process of design
Q1
Q3
stakeholders
Structural analysis. Stresses
Urban areas
Urban development
urban systems
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Summary:As a complex system, the urban environment usually presents multiobjective, uncertain, and dynamic characteristics, which leads to difficulties in urban environmental planning. In this study, an interval fuzzy multiobjective programming method is proposed for tackling such problems and the associated solution algorithm is also discussed. Based on the proposed method, an interval fuzzy multiobjective environment planning model is further developed with specific focus on urban systems. The proposed approach allows uncertainties and comprehensive interaction of system components to be effectively communicated into the optimisation process. Furthermore, using scenario analysis and interactive solution processes, stakeholder preferences are efficiently integrated, promoting feasibility and robustness of decisions. The developed model was tested by a real-world case study in Kunming City, China. An analysis of the results shows that the proposed approach is an effective means for urban environmental planning.
ISSN:1028-6608
1029-0249
DOI:10.1080/10286600801908899