Appropriate Wastewater Treatment Plant Selection Using G-EDAS and G-COPRAS Incorporating G-AHP

Document Type : Research Paper


1 Civil Engineering Department, University of Sistan and Baluchestan

2 Architechtural Engineering Faculty, University of Sistan and Baluchestan


Decision theory in the gray environment has found wide application in all areas of knowledge. The goal of gray decision-making is to build an advanced predictive model of a system based on data obtained from multiple sensors or independent experts. Multi-criteria optimization methods, trade-off solutions, gray TOPSIS, multi-branch gray decision-making, distance-from-mean evaluation methods, and comprehensive fitness evaluation methods are among the most important techniques in decision theory in a gray environment. One of the most important considerations when planning and implementing a wastewater treatment plant is selecting the best treatment process. This article first collected data by preparing a questionnaire and interviewing subject-matter experts, and then used the evaluation method based on distance from average (G-EDAS) and comprehensive suitability evaluation method (G-COPRAS) to select the best wastewater treatment system. Based on the three criteria “technical”, "economic,” and “environmental-social” and their sub-criteria, the results indicate that, according to experts, the conventional activated sludge system was selected as the best wastewater treatment system in both processes. In addition, the gray hierarchy technique (G-AHP) was used to determine the most important sub-criteria. Based on this technology, resistance to hydraulic shocks has emerged as the most important sub-criterion.


Main Subjects

Golfam, P., Ashofteh, PS., & Loáiciga, HA. (2021). Modeling adaptation policies to increase the synergies of the water-climate-agriculture nexus under climate change. Environmental Development, 37, 100612.
Monzavi, MT. (2010). Municipal wastewater - wastewater collection. Tehran University Press.
Abrishami, A. (2013). Investigation of the reuse of treated municipal wastewater in green space irrigation. Master dissertation, Shahid Beheshti University, Iran.
Chang, NB., & Wang, SF. (1995) A grey nonlinear programming approach for planning coastal wastewater treatment and disposal systems. Water Science and Technology, 32(2), 19-29.
Zeng, G., Jiang, R., Huang, G., Xu, M., & Li, j. (2007). Optimization of wastewater treatment alternative selection by hierarchy grey relational analysis. Journal of Environmental Management, 82(2), 250-259.
Singhirunnusorn, W., & Stenstrom, M. (2009). Appropriate wastewater treatment systems for developing countries: criteria and indictor assessment in Thailand. Water Science and Technology, 59(9), 1873-84.
Pophali, GR., Chelani, AB., & Dhodapkar, RS. (2011). Optimal selection of full scale tannery effluent treatment alternative using integrated AHP and GRA approach. Expert Systems with Applications, 38(9), 10889-10895.
Bottero, M., Comino, V., & Riggio, V. (2011). Application of the analytic hierarchy process and the analytic network process for the assessment of different wastewater treatment systems. Environmental Modelling & Software, 26(10), 1211-1224.
Kalbar, PP., Karmakar, S., & Asolekar, SR. (2012). Selection of an appropriate wastewater treatment technology: a scenario-based multiple-attribute decision-making approach. Journal of Environmental Management, 113(30), 158-169.
Jinxiang, F., Lingwei, X., Xingguan, M., & Jing, T. (2013). Application of Entropy Weight TOPSIS Method for Optimization of Wastewater Treatment Technology of Municipal Wastewater Treatment Plant. Nature Environment and Pollution Technology. 12(2), 285-287.
Ouyang, X., Guo, F., Shan, D., Yu, H., & Wang, J. (2015). Development of the integrated fuzzy analytical hierarchy process with multidimensional scaling in selection of natural wastewater treatment alternatives. Ecological Engineering, 74, 438-447.
Dursun, M. (2016). A fuzzy Approach for the Assessment of Wastewater Treatment Alternatives. Engineering Letters, 24(2), 231-236.
Anaokar, G., Khambete, A., & Christian, R. (2018). Evaluation of a Performance Index for Municipal Wastewater Treatment Plants using MCDM–TOPSIS. International Journal of Technology, 9(4), 715.
Golfam, P., Ashofteh, PS., & Loáiciga, HA. (2021). Integration of Gray System Theory with AHP Decision-Making for Wastewater Reuse Decision-Making. Journal of Hazardous, Toxic, and Radioactive Waste, 25(3).
Ghadikolaei, AS., Selokaei, DD., & Parkouhi, SV. (2019). decision theory in gray environment, Mazandaran University.
Liu, S., & Lin, Y. (2010). Grey Models for Decision Making. In: Grey Systems. Understanding Complex Systems, 68.
Deng, J. (1989). Introduction to Grey System Theory. The Journal of Grey System, 1, 1-24.
Keshavarz, M., Zavadskas, EK., Olfat, L., & Turskis, Z. (2015). Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). Informatica, 26(3), 435–451.
Stanujkic, D., Keshavarz, M., Turskis, Z., & Zavadskas, EK. (2017). An Extension of the EDAS Method Based on the Use of Interval Grey Numbers. Studies in Informatics and Control, 26(1), 5-12.
Shannon, CE. (1948). A Mathematical Theory of Communication. The Bell System Technical Journal, 27, 379–423.
Andreica, ME., Ion, D., & Andreica, MI. (2010). A New Portfolio Selection Method Based on Interval Data. Studies in Informatics and Control, 19(3), 253-262.
Zavadskas, EK., Kaklauskas, A., & Šarka, V. (1994). The new method of multicriteria complex proportional assessment of projects. Technological and Economic Development of Economy, 1(3), 131-139.
Zavadskas, EK., Kaklauskas, A., Turskis, Z., & Tamosaitiene, J. (2009). Multi-Attribute Decision-Making Model by Applying Grey Numbers. Informatica, 20(2), 305-320.
Fataei, E., Torabian, A., Kalkhuran, MH., Alighadri, M., & Hosseinzade, SH. (2012). Choosing the optimal urban wastewater treatment process using the AHP method (case study: Ardabiya, Tabriz and Urmia cities). Health Journal, 4(3), 260-272. (In Persian)
Celikbilek, Y. (2018). A grey analytic hierarchy process approach to project manager selection. Journal of Organizational Change Management, 31(3), 749-765.
Naeb, H., Torabian, A., & Mehrdadi, N. (2014). Selection of the optimal process of filtering urban wastewater in different climates of the country by AHP hierarchical analysis method. Environmental Journal, 40(3). (In Persian)
Parkouhi, SV., Ghadikolaei, AS., & Lajim, HF. (2019). Resilient supplier selection and segmentation in grey environment. Journal of Cleaner Production, 207, 1123-1137.
Sadeghi, M., Hajiagha, SHR., & Saberi, N. (2013). Application of Grey TOPSIS in Preference Ordering of Action Plans in Balanced Scorecard and Strategy Map. Informatica, 24(4), 619-635.
Sahu, NK., Datta, S., & Mahapatra, SS. (2012). Establishing green supplier appraisement platform using grey concepts. Grey Systems Theory and Application, 2(3), 24-25.