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Estimating risk of contaminant intrusion in distribution networks using fuzzy rule-based modeling

From National Research Council Canada

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Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Book Chapter
ConferenceNATO Advanced Research Workshop on Computational Models of Risks to Infrastructure, May 9, 2006, Primosten, Croatia
Subjectwater mains; fuzzy rule-based modeling; contaminant intrusion; water distribution networks; risk and uncertainties
Abstract
Contaminant intrusion in water mains is a serious public health risk. This paper presents a soft computing model for quantifying the risk of contaminant intrusion. The model uses a directed acyclic cognitive map, where causal relationships are established using fuzzy rule-based modeling. The fuzzy rules are defined based on expert judgments and beliefs. A hypothetical example is used to demonstrate the proposed model.
Publication date
PublisherIOS Press
PlaceAmsterdam, Netherlands
Washington, D.C.
In
  • Computational Models of Risks to Infrastructure (1 August 2007): 318–327.
Series
  • NATO Science for Peace and Security Series D: Information and Communication Security 13.
LanguageEnglish
Peer reviewedNo
NRC numberNRCC 49704
NRC-IRC-18725
NPARC number20377028
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Record identifier74cef442-aca6-4439-bcad-1e87b16428d2
Record created2012-07-24
Record modified2020-12-16
Date modified: