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Selection of wastewater treatment process based on the analytical hierarchy process and fuzzy analytical hierarchy process methods

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Abstract

This paper presents an application of the analytical hierarchy process and fuzzy analytical hierarchy process methods for selecting the best wastewater treatment process. The analytical hierarchy process is one of the best ways for deciding among the complex criteria structure in different levels, and the fuzzy analytical hierarchy process is a synthetic extension of the classical method when the fuzziness of the decision makers are considered. After reviewing aerobic treatment processes operated in Iran’s industrial estates and determining the main criteria used for treatment process evaluation, they are arranged in a hierarchy structure. Selection of the best wastewater treatment process is a multi-criteria decision making problem. Conventional methods are inadequate for dealing with the imprecise or vague nature of linguistic assessment. To overcome this difficulty, the fuzzy analytical hierarchy process is proposed for dealing with the vagueness of decision makers’ judgments. The alternatives consist of extended aeration, absorption bio-oxidation, integrated fixed-film activated sludge, sequencing batch reactor, aerated lagoon. Based on the general condition of industrial estate’s wastewater treatment plants, technical/administrative, economic and environmental criteria and their sub-criteria are weighted and then criteria evaluated and priorities of alternatives have been done by analytical hierarchy process and fuzzy analytical hierarchy process methods by the use of triangular fuzzy numbers. Finally, selection of the best process and ranking of these five processes are carried out by these foregoing methods, and some sensitivity analyses are conducted to show the results’ sensitiveness to the changes of the weights of the evaluation criteria.

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References

  • Anagnostopoulos, K. P.; Gratziou, M.; Vavatsikos, A. P., (2007). Using the fuzzy hierarchy process for selecting wastewater facilities at prefecture level. Eur. Water, 19(20), 15–24 (10 pages).

    Google Scholar 

  • Badri, M. A., (1999). Combining the analytic hierarchy process and goal programming for global facility location-allocation problem. Int. J. Prod. Econ., 62(3), 237–248 (12 pages).

    Article  Google Scholar 

  • Bandyopadhyay, G.; Chattopadhyay, S., (2007). Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone. Int. J. Environ. Sci. Tech., 4(1), 141–150 (10 pages).

    Article  CAS  Google Scholar 

  • Bouyssou, D.; Marchant, T.; Pirlot, M.; Perny, P.; Tsoukias, A.; Vincke, P., (2000). Evaluation and decision Models: A critical perspective. Kluwer Academic Publishers, Boston.

    Book  Google Scholar 

  • Chang, D. Y., (1996). Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res., 95(3), 649–655 (7 pages).

    Article  Google Scholar 

  • Chen, M. F.; Tzeng, G. H.; Ding, C. G., (2008). Combining fuzzy AHP with MDS in identifying the preference similarity of alternatives. Appl. Soft Comput., 8(1), 110–117 (8 pages).

    Article  Google Scholar 

  • Cheng, S.; Wang, R., (2004). Analyzing hazard potential of typhoon damage by applying grey analytic hierarchy process. Nat. Hazard., 33(1), 77–103 (27 pages).

    Article  Google Scholar 

  • Chien, M. K.; Shih, L. H., (2007). An empirical study of the implementation of green supply chain management practices in the electrical and electronic industry and their relation to organizational performances. Int. J. Environ. Sci. Tech., 4(3), 383–394 (12 pages).

    Google Scholar 

  • Dabaghian, M. R.; Hashemi, S. H.; Ebadi, T.; Maknoon, R., (2008). The best available technology for small electroplating plants applying analytical hierarchy process. Int. J. Environ. Sci. Tech., 5(4), 479–484 (6 pages).

    Google Scholar 

  • Dikinya, O.; Areola, O., (2010). Comparative analysis of heavy metal concentration in secondary treated wastewater irrigated soils cultivated by different crops. Int. J. Environ. Sci. Tech., 7(2), 337–346 (10 pages).

    CAS  Google Scholar 

  • Ellis, K. V.; Tang, S. L., (1991). Wastewater treatment optimization model for developing world. I: Model development. J. Environ. Eng. Div., ASCE 117(4), 501–518 (18 pages).

    Article  Google Scholar 

  • Ellis, K. V.; Tang, S. L., (1994). Wastewater treatment optimization model for development world. II: Model testing. J. Environ. Eng. Div., ASCE, 120(3), 610–624 (15 pages).

    Article  Google Scholar 

  • Enea, M.; Piazza, T., (2004). Project selection by constrained fuzzy AHP. Fuzz. Optim. Decis. Ma., 3(1), 39–62 (24 pages).

    Article  Google Scholar 

  • Expert Choice, Inc., (). Expert Choice software and manual. Els worth Ave., Pittsburgh, PA 15213, USA.

  • Guangming, Z.; Jiang, R.; Huang, G.; Xu, M.; Li, J., (2007). Optimization of wastewater treatment alternative selection by hierarchy grey relational analysis. J. Environ. Manag., 82(2), 250–259 (10 pages).

    Article  Google Scholar 

  • Hadji Hosseinlou, M.; Sohrabi, M., (2009). Predicting and identifying traffic hot spots applying neuro-fuzzy systems in intercity roads. Int. J. Environ. Sci. Tech., 6(2), 309–314 (6 pages).

    Google Scholar 

  • Hsich, T. Y.; Lu, S. T.; Tzeng, G. H., (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. Int. J. Proj. Manag., 22(7), 573–584 (12 pages).

    Article  Google Scholar 

  • Isiklar, G.; Buyukozkan, G., (2006). Using a multi-criteria decision making approach to evaluate mobile phone alternatives. Comp. Stand. Inter., 29, 265–274 (10 pages).

    Article  Google Scholar 

  • Khezri, S. M.; Lotfi, F.; Tabibian, S.; Erfani, Z., (2010). Application of water pinch technology for water and wastewater minimization in aluminum anodizing industries. Int. J. Environ. Sci. Tech., 7(2), 281–290 (10 pages).

    CAS  Google Scholar 

  • Klir, G. J., (1997). Fuzzy arithmetic with requisite constraints. Fuzzy Set. Sys., 91(2), 165–175 (11 pages).

    Article  Google Scholar 

  • Kulak, O.; Kahraman, C., (2005). Fuzzy multi-attribute selection among transportation companies using axiomatic design and Analytic Hierarchy Process. Inform. Sci., 170(2–4), 191–210 (20 pages).

    Article  Google Scholar 

  • Lamata, M. T., (2004). Ranking of alternatives with ordered weighted averaging operators. Int. J. Intell. Syst., 19(5), 473–482 (10 pages).

    Article  Google Scholar 

  • Leung, L. C.; Chao, D., (2000). On consistency and ranking of alternatives in Fuzzy AHP. Eur. J. Oper. Res., 124, 102–113 (12 pages).

    Article  Google Scholar 

  • Liang, G. S., (1999). Fuzzy MCDM based on ideal and anti-ideal concepts. Eur. J. Oper. Res., 112(3), 682–691 (10 pages).

    Article  Google Scholar 

  • Metcalf and Eddy, (2003). Wastewater engineering: treatment, disposal, reuse. 4th Ed., Tata McGraw-Hill Co., New Delhi.

    Google Scholar 

  • Nouri, J.; Karbassi, A. R.; Mirkia, S., (2008). Environmental management of coastal regions in the Caspian Sea. Int. J. Environ. Sci. Tech., 5(1), 43–52 (10 pages).

    Google Scholar 

  • Panjeshahi, M. H.; Ataei, A., (2008). Application of an environmentally optimum cooling water system design in water and energy conservation. Int. J. Environ. Sci. Tech., 5(2), 251–262 (12 pages).

    Article  Google Scholar 

  • Saaty, T. L., (1977). A scaling method for priorities in hierarchical structures. J. Math. Psychol., 15(3), 234–281 (58 pages).

    Article  Google Scholar 

  • Saaty, T. L., (1988). The analytic hierarchy process: Planning, priority setting, resource allocation. Pittsburgh, PA: RWS Publications.

    Google Scholar 

  • Saaty, T. L., (1990). How to make a decision: The analytic hierarchy process. Eur. J. Oper. Res., North-Holland, 48(1), 9–26 (18 pages).

    Article  Google Scholar 

  • Saaty, T. L., (). Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, New Ed. Analytic Hierarchy Process Series, Vol. 2.

  • Soner Kara, S.; Onut, S., (2010). A stochastic optimization approach for paper recycling reverse logistics network design under uncertainty. Int. J. Environ. Sci. Tech., 7(4), 717–730 (14 pages).

    Google Scholar 

  • Taha, H. A., (). Operations research: An introduction. 9th Ed., Pearson Education Inc.

  • Taylor, B. W., (). Introduction to Management Science: Global Ed., Pearson Education Inc.

  • Tuzkaya, G.; Gülsün, B., (2008). Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach. Int. J. Environ. Sci. Tech., 5(3), 339–352 (14 Pages).

    Article  Google Scholar 

  • Tuzkaya, G.; Ozgen, A.; Ozgen, D.; Tuzkaya, U. R., (2009). Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach. Int. J. Environ. Sci. Tech., 6(3), 477–490 (14 pages).

    Google Scholar 

  • Tuzkaya, U. R., (2009). Evaluating the environmental effects of transportation modes using an integrated methodology and an application. Int. J. Environ. Sci. Tech., 6(2), 277–290 (14 pages).

    Google Scholar 

  • Van Laarhoven, P. J. M.; Pedrycz, W., (1983). A fuzzy extension of Saaty’s priority theory. Fuzz. Set. Sys., 11(1–3), 199–227 (28 pages).

    Article  Google Scholar 

  • Vargas, L. G., (1982). Reciprocal matrices with random coefficients. J. Math. Model., 3(1), 69–81 (13 pages).

    Article  Google Scholar 

  • Zhao, X.; Shen, Z.; Xiong, M.; Qi, J., (2011). Key uncertainty sources analysis of water quality model using the first order error method. Int. J. Environ. Sci. Tech., 8(1), 137–148 (12 pages).

    CAS  Google Scholar 

  • Zhu, K. J.; Jing, Y.; Chang, D. Y., (1999). A discussion on extent analyses method and applications of fuzzy AHP. Eur. J. Oper. Res., 116(1), 450–456 (7 pages).

    Article  Google Scholar 

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Authors and Affiliations

  1. Faculty of the Environment, University of Tehran, Tehran, Iran

    A. R. Karimi (Ph.D. Student), N. Mehrdadi Ph.D. (Associate Professor) & G. R. Nabi Bidhendi (Professor)

  2. Institute of Water and Energy, Sharif University of Technology, Tehran, Iran

    S. J. Hashemian (Associate Professor)

  3. Department of Industrial Engineering, University of Tehran, Tehran, Iran

    R. Tavakkoli Moghaddam (Professor)

Authors
  1. A. R. Karimi
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  2. N. Mehrdadi Ph.D.
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  3. S. J. Hashemian
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  4. G. R. Nabi Bidhendi
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  5. R. Tavakkoli Moghaddam
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Correspondence to A. R. Karimi.

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Karimi, A.R., Mehrdadi, N., Hashemian, S.J. et al. Selection of wastewater treatment process based on the analytical hierarchy process and fuzzy analytical hierarchy process methods. Int. J. Environ. Sci. Technol. 8, 267–280 (2011). https://doi.org/10.1007/BF03326215

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  • DOI: https://doi.org/10.1007/BF03326215

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