Journal
JOURNAL OF ENVIRONMENTAL INFORMATICS
Volume 13, Issue 2, Pages 93-103Publisher
INT SOC ENVIRON INFORM SCI
DOI: 10.3808/jei.200900144
Keywords
fuzzy logic; environmental impact assessment; significance
Categories
Funding
- National Science Council of the Republic of China (Taiwan) [95-2211-E-212-024]
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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.
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