dealing with uncertainty. They can be successfully applied both in engineering sciences and
in reliability analyses of water distribution systems. In this paper we propose an interactive
Bayesian network and a decision-theoretic system which intend to monitor water loss,
predict likely outcome and select appropriate decisions.