PERFORMANCE EFFICIENCY ANALYSIS OF WATER TREATMENT PLANTS BY USING MCDM AND NEURAL NETWORK MODEL
Keywords:Water Treatment Plant, MCDM, NSFDSS, ANN
The organization of safe and sustainable sources of water remains a priority for decision makers around the world. The centrality of water in public health as well as in industry creates a high demand for water supply of suitable quality that many nations around the world are harassed to meet. In India, in particular, water shortages and poor water quality continue to be major challenges in both domestic and industrial sectors. That is why, the evaluation of the performance efficiency of the existing water treatment plant is essential. This paper utilizes the Non-structural Fuzzy Decision Support System (NSFDSS) as well as Artificial Neural Network (ANN) to identify the parameter that is most significant in helping the decision makers to build an efficient water treatment plant operating system.
Ali A., Hashmi H. N., Baig N., Iqbal S., Mumtaz K., (2012), Performance evaluation of the water treatment plants of Islamabad – Pakistan, ARCH. ENVIRON. SCI. ,6, 111-117.
Chen, S. Y. (1998),Engineering fuzzy set theory and application, State Security Industry Press, Beijing.
Dorussen, H. L., Wassenberg, W. B. A.,(1997), Feasibility of treatment of low polluted wastewater in municipal waste water treatment plants, Water Science and Technology 35, 73–78. https://doi.org/10.1016/S0273-1223(97)00216-3
Goguen, J.A. (1967), L-fuzzy set, JMAA, 18, 145-174.
Goguen, J.A. (1969), The logic of inexact concepts, Synthese, 19, 325-373. https://doi.org/10.1007/BF00485654 Haneef F., Akintuğ B., Quantitative assessment of heavy metals in coal-fired power plants waste water, GRDS publishing, Vol. 2 (1). Hong Anh Ngo T., Thi Tran D., (2017), Removal of heavy metal ions in water using modified polyamide thin film composite membranes, GRDS publishing, Vol. 3 (1).
Kumar K. Sundara, et al., (2010), Performance evaluation of waste water treatment plant, International Journal of Engineering Science and Technology, Vol. 2(12), 7785-7796.
Tam, C.M., Tong, T.K.L., Chiu, G.C. and Fung, I.W.H. (2002), “Non-structural fuzzy decision support system for evaluation of construction safety management system”, International Journal of Project Management, Vol. 20 No. 4, pp. 303-13. https://doi.org/10.1016/S0263-7863(00)00055-7
Saaty, T. (1980), The analytic hierarchy process. New York: McGraw-Hill.
XuJia W., Jing Z., Qian Qian G, (2011), The comprehensive evaluation for design elements of urban aged residential engineering project based on NSFDSS, Systems Engineering Procedia 1, 236–243. https://doi.org/10.1016/j.sepro.2011.08.037
Zadeh, L. A. (1965), „„Fuzzy sets.‟‟ Inf. Control, 8, 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
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