A Qualitative Decision Support for Environmental Impact Assessment Using Fuzzy Logic
A Qualitative Decision Support for Environmental Impact Assessment Using Fuzzy Logic
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DOI：
10.3808/jei.200900144
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发表时间：
2009-06
影响因子：
7
通讯作者：
K. F. Liu;H. Liang;K. Yeh;C. W. Chen
中科院分区：
文献类型：
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作者：
K. F. Liu;H. Liang;K. Yeh;C. W. Chen
在环境影响评价(EIA)中，专家不仅根据科学数据得出结论，还根据政治因素和社会价值观得出结论。主观判断在环境影响评价中起着重要作用。传统的多准则决策方法由于不能对人类思维过程进行定性建模，不能提供最佳决策支持。另一方面，模糊逻辑被广泛认为是一种具有计算能力的工具，在分析复杂系统和决策时，使用文字来模拟人类的定性思维过程。本研究试图利用模糊逻辑作为环境影响评价的决策支持方法。用“如果-然后”模糊规则表示的评价知识来衡量环境影响的重要性。本文以台湾高铁系统为例，在评估框架中考虑了10个指标和28个子指标。
In environmental impact assessment (EIA), experts produce conclusions not only according to scientific data but also political factors and social values. Subjective judgment plays a significant role in EIA. Traditional multi-criteria decision-making methods cannot provide best decision support because they are incapable of modeling qualitative human thinking process. On the other hand, fuzzy logic is widely recognized as a tool with the ability to compute using words to model qualitative human thinking processes in the analysis of complex systems and decisions. This study attempts to utilize fuzzy logic as a decision-support approach for EIA. The evaluation knowledge represented by "if-then" fuzzy rules is employed to measure the significance of environmental impacts. In this paper, 10 indicators and 28 subindicators are considered in the assessment framework using the Taiwan High-Speed Rail System as the case study.