doi:10.3808/jei.200900144
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A Qualitative Decision Support for Environmental Impact Assessment Using Fuzzy Logic

K. F. R. Liu1*, H. H. Liang2, K. Yeh3 and C. W. Chen4

  1. Department of Safety, Health and Environmental Engineering, Ming Chi University of Technology, Taipei, Taiwan 24301, R.O.C.
  2. Department of Architecture, National United University, Miaoli, Taiwan 36003, R.O.C.
  3. Department of Construction Engineering, De Lin Institute of Technology, Taipei, Taiwan 23654, R.O.C.
  4. Department of Logistics Management, Shu-Te University, Kaohsiung, Taiwan 82445, R.O.C.

*Corresponding author. Tel: +886-2-29089899 ext. 469 Fax: +886-22904-1914 Email: kevinliu@mail.mcut.edu.tw

Abstract


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.

Keywords: fuzzy logic, environmental impact assessment, significance


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