Management of the urban water cycle in an integrated manner is an essential task to protect, restore and enhance in a sustainable manner. Strategic asset management planing is being developed as local government authorities face many challenges associated with managing the urban water cycle system. Statistical or conventional mathematical modelling approach has been found not practical for assessment of deteriorating infrastructures. Alternatively, application of fuzzy-based models is found more suitable as it links engineering judgment, experience and scarce field data of the deteriorating assets. In this study, a representative network of buried stormwater system's data is drawn and a pipe condition index is derived by linking the field data and reasoning using fuzzy approach. The inferred results are found to be useful and relevant for asset maintenance and future development programs.