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A Neurofuzzy Decision Framework for the Management of Water Distribution Networks

Author

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  • Symeon Christodoulou
  • Alexandra Deligianni

Abstract

Among the most important components of sustainable management strategies for water distribution networks is the ability to integrate risk analysis and asset management decision-support systems (DSS), as well as the ability to incorporate in the analysis financial and socio-political parameters that are associated with the networks in study. Presented herein is a neurofuzzy decision-support system for the performance of multi-factored risk-of-failure analysis and pipe asset management, as applied to urban water distribution networks. The study is based on two datasets (one from New York City and the other from the city of Limassol, Cyprus), analytical and numerical methods, and artificial intelligence techniques (artificial neural networks and fuzzy logic) that capture the underlying knowledge and transform the patterns of the network’s behaviour into a knowledge-repository and a DSS. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Symeon Christodoulou & Alexandra Deligianni, 2010. "A Neurofuzzy Decision Framework for the Management of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(1), pages 139-156, January.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:1:p:139-156
    DOI: 10.1007/s11269-009-9441-2
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    References listed on IDEAS

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