D. Dunea and M. Oprea, Fuzzy-APA: Employing Fuzzy and Neural Networks Techniques in Data Analysis of Industrial Wastewaters Monitoring, WSEAS Transactions on Environment and Development, vol.6, issue.8, pp.581-590, 2010.

F. Fdez-riverola and J. M. Corchado, Improved CBR System for Biological Forecasting, Proceedings of the ECAI WS ? Binding Environmental Sciences and Artificial Intelligence, 2004.
DOI : 10.1007/3-540-46119-1_38

K. D. Karatzas, Artificial Intelligence Applications in the Atmospheric Environment: Status and Future Trends, Environmental Engineering Management Journal, vol.9, issue.2, pp.171-180, 2010.

M. Li and M. R. Hassan, Urban air pollution forecasting using artificial intelligence-based tools, 2009.

H. Núñez, M. Sànchez-marrè, U. Cortés, J. Comas, M. Martinez et al., A comparative study on the use of similarity measures in case-based reasoning to improve the classsification of environmental system situations, Environmental Modelling & Software, vol.9, issue.9, pp.809-819, 2004.

M. Sànchez-marrè, K. Gibert, and B. Sevilla, Evolving GESCONDA to an Intelligent Decision Support Tool, Proceedings of the International Congress on Environmental Modelling and Software Modelling for Environment's Sake, 2010.

T. Tsataltzinos, L. Iliadis, and S. Spartalis, An intelligent Fuzzy Inference System for Risk Estimation Using Matlab Platform: the Case of Forest Fires in Greece, IFIP International Federation for Information Processing, pp.303-310, 2009.
DOI : 10.1007/978-1-4419-0221-4_36

T. Dietterich, Machine Learning in Ecosystem Informatics and Sustainability, Proceedings of IJCAI 2009, pp.8-13, 2009.
DOI : 10.1007/978-3-540-75488-6_2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.5891

K. Polat, A novel data preprocessing method to estimate the air pollution (SO 2 ): neighborbased feature scaling (NBFS), Neural Computing & Applications, 2011.

R. Noori, G. Hoshyaripour, K. Ashrafi, and B. N. Araabi, Uncertainty analysis of developed ANN and ANFIS models in prediction of carbon monoxide daily concentration, Atmospheric Environment, vol.44, issue.4, pp.476-482, 2010.
DOI : 10.1016/j.atmosenv.2009.11.005

M. Oprea, A case study of knowledge modelling in an air pollution control decision support system. AiCommunications, pp.293-303, 2005.

A. Ebel and T. Davitashvili, Air, Water and Soil Quality Modelling for Risk and Impact Assessment, 2007.
DOI : 10.1007/978-1-4020-5877-6

Y. J. Kim and U. Platt, Advanced Environmental Monitoring, 2008.
DOI : 10.1007/978-1-4020-6364-0

M. Kolehmainen, H. Martikainen, and J. Ruuskanen, Neural networks and periodic components used in air quality forecasting, Atmospheric Environment, vol.35, issue.5, pp.815-825, 2001.
DOI : 10.1016/S1352-2310(00)00385-X

N. Moussiopoulos, Air Quality in Cities, 2003.
DOI : 10.1007/978-3-662-05217-4

V. Storch, H. Tol, and R. S. , Flöser (Eds): Environmental Crises ? Science and Policy, 2008.

H. Xu and H. Xue, Improved ANFIS to Forecast Atmospheric Pollution, Management Science and Engineering, vol.2, issue.2, pp.54-61, 2008.

N. Ullah and P. Choudhury, Flood Forecasting in River System Using ANFIS, AIP Proceedings of the International Conference on Modeling, Optimization, and Computing, pp.694-699, 2010.
DOI : 10.1063/1.3516407

A. Mukerji, C. Chatterjee, and N. S. Raghuwanshi, Flood Forecasting Using ANN, Neuro-Fuzzy, and Neuro-GA Models, Journal of Hydrologic Engineering, vol.14, issue.6, p.14, 2009.
DOI : 10.1061/(ASCE)HE.1943-5584.0000040

L. S. Iliadis, S. I. Spartalis, and S. Tachos, Kernel Methods and Neural Networks for Water Resources Management, Environmental Engineering Management Journal, vol.9, issue.2, pp.181-187, 2010.

A. Matei, Flood Forecasting and River Monitoring Expert System in the Prahova River Basin, Proceedings of the IFAC Workshop on Intelligent Control Systems, pp.82-86, 2010.
DOI : 10.3182/20100929-3-RO-4017.00012