Abstract
A fuzzy inference system (FIS), which could classify the state of effluent quality if it was high or not and identify visually the reasons for the high effluent quality in municipal wastewater treatment plants (WWTPs), was developed in this study. The decision tree algorithm and fuzzy technique were applied in the development of this system. By applying the classification and regression tree (CART) algorithm as a decision tree algorithm, the knowledge related to effluent quality was extracted and IF-THEN rules with crisp boundary values were generated. By applying the fuzzy technique, the fuzzification of these rules was conducted, where the trapezoidal and triangular membership function was used as a membership function type. And a Mamdani model with the Max-min operation was used as an inference model and the center of area (CoA) method was used for deffuzification. The accuracy achieved by using the developed system to classify the effluent state was confirmed by comparing the result with measured data. Furthermore, the developed system was demonstrated to be a useful tool for inferring the reasons for the high effluent quality.
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References
M. Sànchez, U. Cortéz and J. Béjar, Appl. Intelligence 7, 147 (1997).
Y. J. Kim, Ph.D. thesis, Dept. Env. Eng., Pusan National University, Korea (2006).
J. Comas, Ph.D. thesis, Universitat de Girona, Spain (2000).
K. Gibert, M. Sànchez-Marré and I. Rodríguez-Roda, Environ. Modelling & Software, 21, 115 (2006).
J. Baeza, D. Gabriel and J. Lafuente, Environ. Modelling & Software, 14, 383 (1999).
J. Baeza, E. Ferrira and J. Lafuente, Water Sci. Technol., 41(12), 129 (2000).
I. Rodriguez-Roda, M. Sànchez-Marré, J. Comas, J. Baeza, J. Colprim, J. Lafuente, U. Cortés and M. Poch, Water Sci. Technol., 45(4–5), 289 (2002).
Y. J. Kim, H. Bae, J. H. Ko, S. Kim, C.W. Kim and H. J. Woo, Water Sci. Technol., 53(1), 199 (2006).
C. K. Yoo, P. A. Vanrolleghem and I. B. Lee, Environ. Eng. Res., 11(2), 63 (2006).
M. Polit, A. Genovesi and B. Claudet, Appl. Numerical Mathematics, 39, 173 (2001).
E. F. Carrasco, J. Rodríguez, A. Puòal, E. Roca and J. M. Lema, Expert Systems with Applications, 22, 11 (2002).
E. Murnleitner, T. M. Becker and A. Delgado, Water Res., 36, 201 (2002).
J. Comas, I. Rodriguez-Roda, M. Sànchez-Marré, U. Cortéz, A. Freixó, J. Arráez and M. Poch, Wat. Res., 37, 2377 (2003).
P. K. Goel, S. O. Prasher, R. M. Patel, J. A. Landry, R. B. Bonnell and A. A. Viau, Comput. Electron. Agric., 39, 67 (2003).
H. Bae, H.Y. Seo, S. Kim and Y. Kim, Water Sci. Technol., 53(1), 217 (2006).
E. F. Carrasco, J. Rodríguez, A. Puòal, E. Roca and J. M. Lema, Control Eng. Pract., 12(1), 59 (2004).
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Moon, T., Kim, Y., Kim, H. et al. Fuzzy rule-based inference of reasons for high effluent quality in municipal wastewater treatment plant. Korean J. Chem. Eng. 28, 817–824 (2011). https://doi.org/10.1007/s11814-010-0428-8
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DOI: https://doi.org/10.1007/s11814-010-0428-8