[1]
Chen, S. Y., & Li, Y. W. (2005). Water Quality Evaluation Based on Fuzzy Artificial Neural Network. Advances in Water Science, 16, 88-91.
[2]
Feng, L. H., Wang, J. Y., & Zhang, M. Z. (2000). Grey Clustering Evaluation of Environmental Quality. Environmental Protection Science, 26, 37-39.
[3]
Fu, B., Li, D. G., & Wang, M. K. (2011). Review and Prospect on Research of Cloud Model. Application Research of Computers, 28, 420-426.
[4]
Li, D. Y., & Du, Y. (2005). Artificial Intelligence with Uncertainty. Beijing: National Defence Industry Press.
[5]
Li, J. Z., & Liu, X. Z. (2009). The Application Research of the Theory of Uncertainty Set Pair Analysis in Seawater Eutrophication Assessment. Mathematics in Practice and Theory, 39, 84-88.
[6]
Li, M. C., Zhang, G. Y., & You, X. Y. (2010). Set Pair Analysis Method with Nonlinear Membership Function for Sea Water Quality Assessment. Journal of Hebei University of Technology, 39, 81-86.
[7]
Li, M. C., Zhang, G. Y., Si, Q., Liang, S. X., & Sun, Z. C. (2012). Synthetic Assessment Method with Cloud Theory for Marine Water Quality. 2012 International Conference on Sustainable Energy and Environmental Engineering, 298, 821-826.
[8]
Pan, F., Fu, Q., & Liang, C. (2002). Applying Fuzzy Synthesize Judgment in the Study of Water Environment Quality Evaluation. Environment Engineering, 20, 58-61.
[9]
Qian, Y. Q. (2006). Macro-Economic Social Evaluation of Water Resources Planning in Dongguang Using Fuzzy Comprehensive Evaluation Method. Zhujiang Modern Construction, 6, 1-4.
[10]
Wang, X. (2011). Comprehensive Evaluation of Water Quality Based on Application of Projection Pursuit Model. Ground Water, 33, 5-6..
