Commenced in January 2007
Paper Count: 30169
Combining Fuzzy Logic and Data Miningto Predict the Result of an EIA Review
Abstract:The purpose of determining impact significance is to place value on impacts. Environmental impact assessment review is a process that judges whether impact significance is acceptable or not in accordance with the scientific facts regarding environmental, ecological and socio-economical impacts described in environmental impact statements (EIS) or environmental impact assessment reports (EIAR). The first aim of this paper is to summarize the criteria of significance evaluation from the past review results and accordingly utilize fuzzy logic to incorporate these criteria into scientific facts. The second aim is to employ data mining technique to construct an EIS or EIAR prediction model for reviewing results which can assist developers to prepare and revise better environmental management plans in advance. The validity of the previous prediction model proposed by authors in 2009 is 92.7%. The enhanced validity in this study can attain 100.0%.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1060800Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1525
 R.B. Beattie, "Everything you already know about EIA (but don-t often admit)," Environmental Impact Assessment Review, vol. 15(2), pp.109-14. 1995.
 B. Kontic, "Why are some experts more credible than others?" Environmental Impact Assessment Review, vol. 20(4), pp.427-34, 2000.
 D.P. Lawrence, "Impact significance determination-Back to basics," Environmental Impact Assessment Review, vol. 27(8), pp.755-769, 2007.
 K.F.R. Liu, J.H, Lai, "Decision-support for environmental impact assessment: A hybrid approach using fuzzy logic and fuzzy analytic network process," Expert Systems with Applications, vol. 36, pp.5119-5136, 2009a.
 K.F.R. Liu, C.W. Yu, "Integrating case-based and fuzzy reasoning to qualitatively predict risk in environmental impact assessment review," Environmental Modelling & Software, vol. 24(10), pp.1241-1251, 2009b.
 K.F.R. Liu, H.H. Liang, K. Yeh, C.W. Chen, "A qualitative decision support for environmental impact assessment using fuzzy logic. Journal of Environmental Informatics, vol. 13(2), pp.94-104, 2009c.
 H. Wilkins, "The need for subjectivity in EIA: discourse as a tool for sustainable development," Environmental Impact Assessment Review, vol. 23(4), pp.401-414, 2003.
 G. Wood, "Thresholds and criteria for evaluating and communicating impact significance in environmental statements: ÔÇÿSee no evil, hear no evil, speak no evil'?" Environmental Impact Assessment Review, vol. 28(1), 22-38, 2008.