R. Peche and E. Rodríguez, Environmental impact assessment by means of a procedure based on fuzzy logic: A practical application, Environmental Impact Assessment Review, vol.31, issue.2, pp.31-8796, 2011.
DOI : 10.1016/j.eiar.2010.03.006

S. Aly and I. Vrana, An Intelligent Decision Support System for Environmental Impact Assessment of Industrial Projects International Congress on Environmental Modelling and Software (iEMSs), 2008.

A. Blanco, M. Delgado, J. Martín-ramos, and M. Polo, AIEIA: Software for fuzzy environmental impact assessment, Expert Systems with Applications, vol.36, issue.5, p.913549, 2009.
DOI : 10.1016/j.eswa.2008.12.055

G. S. Rodrigues, C. Campanhola, and P. C. Kitamura, An environmental impact assessment system for agricultural R&D, Environmental Impact Assessment Review, vol.23, issue.2, p.219244, 2003.
DOI : 10.1016/S0195-9255(02)00097-5

A. Anile, S. Deodato, and G. Privitera, Implementing fuzzy arithmetic. Fuzzy Sets Syst, p.23950, 1995.
DOI : 10.1016/0165-0114(94)00355-b

A. Parashar, R. Paliwal, and P. Rambabu, Utility of fuzzy cross-impact simulation in environmental assessment, Environmental Impact Assessment Review, vol.17, issue.6, p.42747, 1997.
DOI : 10.1016/S0195-9255(97)00046-2

W. Silvert, Ecological impact classification with fuzzy sets, Ecological Modelling, vol.96, issue.1-3, pp.1-10, 1997.
DOI : 10.1016/S0304-3800(96)00051-8

M. Enea and G. Salemi, Fuzzy approach to the environmental impact evaluation, Ecological Modelling, vol.136, issue.2-3, p.13147, 2001.
DOI : 10.1016/S0304-3800(00)00380-X

K. Szczepaniak, C. Sarbu, A. Astel, E. Rainska, M. Biziuk et al., Abstract, Open Chemistry, vol.134, issue.1, p.2955, 2006.
DOI : 10.1007/s006040070047

D. Siqueira, A. , D. Mello, and R. , A decision support method for environmental impact assessment using a fuzzy logic approach, Ecol Econ, vol.58, p.17081, 2006.

K. Liu and J. Lai, Decision-support for environmental impact assessment: A hybrid approach using fuzzy logic and fuzzy analytic network process, Expert Systems with Applications, vol.36, issue.3, p.511936, 2009.
DOI : 10.1016/j.eswa.2008.06.045

L. A. Zadeh, Fuzzy sets, Information and Control, vol.8, p.338353, 1965.

A. Keufmann and M. M. Gupta, Introduction to Fuzzy Arithmetic: Theory and Application, 1991.

E. Triantaphyllou and L. C. , Development and evaluation of ve fuzzy multiattribute decision-making methods, International journal of Approximate Reasoning, vol.14, p.281310, 1996.
DOI : 10.1016/0888-613x(95)00119-2
URL : http://doi.org/10.1016/0888-613x(95)00119-2

S. Y. Chou, Y. H. Chang, and C. Y. Shen, A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes, Decision Support, European Journal of Operational Research, vol.189, p.132145, 2008.
DOI : 10.1016/j.ejor.2007.05.006

S. Aly and I. Vrana, Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHP, Agric. Econ. Czech, vol.54, issue.11, p.529535, 2008.

M. F. Chen, G. H. Tzeng, and C. G. Ding, Combining fuzzy AHP with MDS in identifying the preference similarity of alternatives, Applied Soft Computing, vol.8, issue.1, p.110117, 2008.
DOI : 10.1016/j.asoc.2006.11.007