Article ID: | iaor200970954 |
Country: | Canada |
Volume: | 13 |
Issue: | 2 |
Start Page Number: | 93 |
End Page Number: | 103 |
Publication Date: | Jun 2009 |
Journal: | Journal of Environmental Informatics |
Authors: | Liu K F R, Liang H H, Yeh K, Chen C W |
Keywords: | artificial intelligence: decision support, fuzzy sets |
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.