Periodic surface inspections of Water Distribution Networks (WDNs) buried in the soil aren’t possible. Failures, leakage or malfunctioning to these networks usually appear when they have happened, and, therefore, it is essential to get knowledge about the causes of events to increase the used structures’ lifespan. With the spatial nature and parameters uncertainty of the WDN, it is possible to analyze its events using a Geospatial Information System (GIS) and Fuzzy Logic (FL). This paper provides a framework for spatial analysis and assessing the risk of failure in the pipe networks using a Fuzzy Inference System (FIS) based on past events spatial information. Parameters such as Number of Previously Observed Breaks (NPOBs), material, age, length and diameter of pipes were selected as factors for the determination of failure risk zones in urban WDNs. Results showed that the material factor is the most important (with a share of 22%) in pipe failure, followed by length, age, and diameter. The Root Mean Square Error (RMSE) for application of the method on the test data of Tuyserkan city, Iran was 0.38.
