Site selection for wastewater treatment plant using integrated fuzzy logic and multicriteria decision model: A case study in Kahak, Iran

Document Type: Original Article


1 Kurdistan Environmental Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran

2 Department of Urban Planning, School of Technology, University of Kurdistan, Sanandaj, Iran


One of the environmental issues in urban planning is finding a suitable site for constructing infrastructures such as water and wastewater treatment plants. There are numerous factors to be considered for this purpose, which make decision-making a complex task. We used an integrated fuzzy logic and multicriteria decision model to select a suitable site for establishing wastewater treatment plant in Kahak, Iran. We used super decision software and a geographic information system (GIS) for scoring the parameters. The western part of Kahak was found to be a suitable place for constructing municipal wastewater treatment plant. Our findings indicated that decision makers and policy makers would be able to achieve better results concerning the most suitable location for wastewater treatment plant easily through combining these two models.  


1. Neshastehgar M. Application of the integrated Multi-Criteria Multi-Decision in site selection of non-concentrated wastewater treatment plants in metropolitans. [MSc Thesis]. Tehran, Iran: Sanati Sharif University; 2009.

2. Anagnostopoulos KP, Vavatsikos AP. Using GIS and fuzzy logic for wastewater treatment processes site selection: the case of rodopi prefecture. AIP Conference Proceedings 2007; 963(2): 851-5.

3. Anagnostopoulos KP, Gratziou M, Vavatsikos AP. Natural systems for wastewater treatment site selection using GIS and fuzzy AHP [Online]. [cited 2008]; Available from: URL:

4. Deepa K, Krishnaveni M. Suitable site selection of decentralised treatment plants using multicriteria approach in GIS. Journal of Geographic Information System 2012; 4(3): 245-60.

5. Wolfslehner B, Vacik H, Lexer MJ. Application of the analytic network process in multi-criteria analysis of sustainable forest management. Forest Ecology and Management 2005; 207(1-2): 157-70.

6. Faraji Sabokbar HA, Rezaali M. Comparison of discrete and continuous spatial models case study: site selection for rural industry in district of torghabeh. Human Geography Research 2009; 41(67): 69-83. [In Persian].

7. Chang C, Wu CR, Chen HC. Analytic network process decision-making to assess slicing machine in terms of precision and control wafer quality. Robotics and Computer-Integrated Manufacturing 2009; 25(3): 641-50.

8. Chang CW, Wu CR, Lin CT, Lin HL. Evaluating digital video recorder systems using analytic hierarchy and analytic network processes. Information Sciences 2007; 177(16): 3383-96.

9. Yüksel I, Dagdeviren M. Using the analytic network process (ANP) in a SWOT analysis- A case study for a textile firm. Information Sciences 2007; 177(16): 3364-82.

10. Lee H, Lee S, Park Y. Selection of technology acquisition mode using the analytic network process. Mathematical and Computer Modelling 2009; 49(5-6): 1247-82.

11. Saaty TL. The Analytic hierarchy process: planning, priority setting, resource allocation. 2nd ed. New York, NY: McGraw-Hill; 1980.

12. Yazgan HR, Boran S, Goztepe K. An ERP software selection process with using artificial neural network based on analytic network process approach. Expert Systems with Applications 2009; 36(5): 9214-22.

13. Neaupane KM, Piantanakulchai M. Analytic network process model for landslide hazard zonation. Engineering Geology 2006; 85(3-4): 281-94.

14. Zadeh LA. Fuzzy sets. Information and Control 1965; 8: 338–53.

15. Dagdeviren M, Yüksel I. A fuzzy analytic network process (ANP) model for measurement of the sectoral competititon level (SCL). Expert Systems with Applications 2010; 37(2): 1005-14.

16. Isalou AA, Zamani V, Shahmoradi B, Alizadeh H. Landfill site selection using integrated fuzzy logic and analytic network process (F-ANP). Environmental Earth Sciences 2013; 68(6): 1745-55.

17. Kahraman C, Ertayb T, Büyüko"zkanc TG. A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research 2006; 171(2): 390-411.

18. Razmi J, Rafiei H, Hashemi M. Designing a decision support system to evaluate and select suppliers using fuzzy analytic network process. Computers & Industrial Engineering 2009; 57(4): 1282-90.

19. Meinzinger F. GIS-based site identification for the land application of wastewater: Christchurch City, New Zealand. [MSc Thesis]. Lincoln, UK: Lincoln University; 2003.