Fuzzy-Logic Modeling of Risk Assessment for a Small Drinking-Water Supply System
Publication: Journal of Water Resources Planning and Management
Volume 135, Issue 6
Abstract
A set of risk factors and a fault tree methodology in conjunction with fuzzy logic is described to assess potential contributing factors to failures in water supply systems. The fault tree methodology establishes the structure of the risks, and the fuzzy logic analysis translates qualitative risk data into probabilities. The methodology affords guidance to the decision-making process indicating when the risk is severe and what constitutes a contributory factor that warrants specific attention. The model is applied to a case study in North Battleford, Saskatchewan and sensitivity tests are used to demonstrate the model’s utility to assess the implications of individual factors.
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Acknowledgments
The financial support provided from the Canada Research Chair Program, and the Joint Infrastructure Interdependence Research Program is gratefully acknowledged.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 135 • Issue 6 • November 2009
Pages: 547 - 552
Copyright
© 2009 ASCE.
History
Received: Apr 12, 2007
Accepted: Feb 18, 2009
Published online: Oct 15, 2009
Published in print: Nov 2009
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