@article{(Open Science Index):https://publications.waset.org/pdf/5302,
	  title     = {Combining Fuzzy Logic and Data Miningto Predict the Result of an EIA Review},
	  author    = {Kevin Fong-Rey Liu and  Jia-Shen Chen and  Han-Hsi Liang and  Cheng-Wu Chen and  Yung-Shuen Shen},
	  country	= {},
	  institution	= {},
	  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%.},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {4},
	  number    = {12},
	  year      = {2010},
	  pages     = {628 - 632},
	  ee        = {https://publications.waset.org/pdf/5302},
	  url   	= {https://publications.waset.org/vol/48},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 48, 2010},
	}