Combining Fuzzy Logic and Data Miningto Predict the Result of an EIA Review
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%.
[1] 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.
[2] B. Kontic, "Why are some experts more credible than others?"
Environmental Impact Assessment Review, vol. 20(4), pp.427-34, 2000.
[3] D.P. Lawrence, "Impact significance determination-Back to basics,"
Environmental Impact Assessment Review, vol. 27(8), pp.755-769, 2007.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[1] 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.
[2] B. Kontic, "Why are some experts more credible than others?"
Environmental Impact Assessment Review, vol. 20(4), pp.427-34, 2000.
[3] D.P. Lawrence, "Impact significance determination-Back to basics,"
Environmental Impact Assessment Review, vol. 27(8), pp.755-769, 2007.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
@article{"International Journal of Earth, Energy and Environmental Sciences:54398", author = "Kevin Fong-Rey Liu and Jia-Shen Chen and Han-Hsi Liang and Cheng-Wu Chen and Yung-Shuen Shen", title = "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%.", keywords = "Environmental impact assessment review, impactsignificance, fuzzy logic, data mining, classification tree.", volume = "4", number = "12", pages = "648-5", }