Advances in water supply management : proceedings of the

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Before the commencement of the DZS programme, all mains data belonged to categories 1 and 2. After the DZS programme has been accomplished, about 40% of data has a confidence grade belonging to reliability grades A or B (categories 3, 4 and 7). These data have been verified during the time of the DZS. Further improvements can be expected once the data provided by HWS is confirmed by NIWS (category 6). Overall, the reliability of about 80% of mains data was improved during the water mains rehabilitation programme.

The problem becomes harder if limited funds are involved. In this case, the city water company should decide about priorities, in order to benefit the most from any pipe replacements and/or to avoid the worst problems that have occurred in the past or are likely to occur in the near future. For many years, reliability assessment and optimal scheduling of pipe replacements is a much discussed technical problem, traditionally approached by statistical methods (Mays, 2000). Network malfunction records may be used in order to help decide about priorities and/or high-risk network elements, which have to be replaced prior to others.

The three fuzzy linguistic sets [HIGH], [MEDIUM] and [LOW] replacement desirability, are defined as shown in Figure 1. 2], the brackets ([ ]) differentiating between actual numbers (crisp) and fuzzy ones. 8 1 x Figure 1. Fuzzy set supports for linguistic denomination of replacement desirability. 35.

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