1.Asgarian, M., Tabesh, M., and Roozbahani, A. 2013. Risk assessment of wastewater
collection performance using the fuzzy decision-making approach. J. Water Wastewater.
26: 4. 74-87. (In Persian)
2.Buckley, J.J. 1985. Fuzzy hierarchical analysis. Fuzzy Sets and Systems. 17: 3. 233-247.
3.Dağdeviren, M., and Yüksel, İ. 2008. Developing a fuzzy analytic hierarchy process (AHP)
model for behavior-based safety management. Inf. Sci. J. 178: 6. 1717-1733.
4.Elsawah, H., Guerrero, M., and Moselhi, O. 2014. Decision support model for integrated
intervention plans of municipal infrastructure. P 1039-1050, In ICSI 2014: Creating
Infrastructure for a Sustainable World. American Society of Civil Engineers.
5.Fares, H., and Zayed, T. 2010. Hierarchical fuzzy expert system for risk of failure of water
mains. Pipe. Syst. Engin. Prac. J. 1: 1. 53-62.
6.Hashemy Shahdany, S. 2008. Spatial and temporal clustering of irrigation networks by using
hard and fuzzy methods, M.Sc. Thesis, Faculty of Agriculture Engineering, Tarbiat Modares
University, Tehran, Iran. (In Persian)
7.Hatam, A., Monem, M.J., and bagheri, A. 2013. System dynamics model development for
irrigation network rehabilitation, Considering Farmers Participation and Personnel
Promotion. J. Agric. Engin. Res. 13: 4. 1-24.
8.Inanloo, B., Tansel, B., Shams, K., Jin, X., and Gan, A. 2016. A decision aid GIS-based risk
assessment and vulnerability analysis approach for transportation and pipeline networks.
Safety Sci. J. 84: 57-66.
9.Lee, C. 1990. Fuzzy logic in control systems: fuzzy logic controller. I.IEEE Transactions on
systems, Man. Cybernet. J. 20: 2. 404-418.
10.Lima Junior, F.R., Osiro, L., and Carpinetti, L.C.R. 2014. A comparison between Fuzzy
AHP and Fuzzy TOPSIS methods to supplier selection. Appl. Soft Comp. J. 21: 194-209.
11.Macey, C., Garcia, D., Croft, B., and Davidson, J. 2014. Risk-based condition assessment
and rehabilitation planning in Colorado Springs, in pipelines 2014. American Society of
Civil Engineers. Pp: 230-244.
12.Modarres, M., and Sadi-Nezhad, S. 2005. Fuzzy simple additive weighting method by
preference ratio. Intell. Auto. Soft Comp. J. 11: 4. 235-244.
13.Monem, M.J., and Hashemy Shahdany, S. 2011. Spatial clustering of irrigation networks
using K-means method (Case study: Ghazvin Irrigation Network). J. Iran Water Resour. Res.
7: 1. 38-46. (In Persian)
14.Rahman, S., Devera, J., and Reynolds, J. 2014. Risk assessment model for pipe rehabilitation
and replacement in a water distribution system, in pipelines 2014: From Underground to
the Forefront of Innovation and Sustainability. American Society of Civil Engineers.
Pp: 1997-2006.
15.Roozbahani, A., Zahraie, B., and Tabesh, M. 2012. Water quantity and quality risk
assessment of urban water supply systems with consideration of uncertainties. J. Water
Wastewater. 4: 2-14. (In Persian)
16.Roozbahani, A., Zahraie, B., and Tabesh, M. 2013. Integrated risk assessment of urban water
supply systems from source to tap. Stochastic Environ. Res. Risk Assess. J. 27: 4. 923-944.
17.Saaty, T.L. 1990. How to make a decision: The analytic hierarchy process. Europ. J. Oper.
Res. 48: 1. 9-26.
18.Sadiq, R., Kleiner, Y., and Rajani, B. 2007. Water quality failures in distribution networksrisk analysis using fuzzy logic and evidential reasoning. Risk Anal. J. 27: 5. 1381-1394.
19.Salman, B., and Salem, O. 2012. Risk assessment of wastewater collection lines using failure
models and criticality ratings. Pipe. Syst. Engin. Prac. J. 3: 3. 68-76.
20.Shahriar, A., Sadiq, R., and Tesfamariam, S. 2012. Risk analysis for oil & amp;
gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis.
J. Loss Prevent. Proc. Indus. 25: 3. 505-523.
21.Shakeri, H., and Nazif, S. 2016. Development of an algorithm for risk-based management of
wastewater reuse alternatives. J. Water Reuse. Desalination. 7: 4. p. jwrd2016168.
22.Tehrani, M.V., Bagheri, A., Monem, M.J., and Khan, S. 2012. Analysing structural and
non-structural options to improve utility of irrigation areas using a system dynamics
approach. Irrig. Drain. J. 61: 5. 604-621.
23.Topuz, E., and van Gestel, C.A.M. 2016. An approach for environmental risk assessment of
engineered nanomaterials using Analytical Hierarchy Process (AHP) and fuzzy inference
rules. Environ. Inter. J. 92: 334-347.
24.Torres, J.M., Brumbelow, K., and Guikema, S.D. 2009. Risk classification and
uncertainty propagation for virtual water distribution systems. Reliabil. Engin. Syst. Safe. J.
94: 8. 1259-1273.