Vahdat, K, Smith, NJ and Amiri, G (2014) Developing a Knowledge Based Expert System (KBES) for Seismic Risk Management. In: Beer, M, Au, S-K and Hall, JW, (eds.) Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management. 2nd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2014) and 6th International Symposium on Uncertainty Modeling and Analysis (ISUMA 2014), 13-16 Jul 2014, Liverpool, UK. American Society of Civil Engineers , pp. 1746-1755. ISBN 9780784413609
Abstract
Seismic risk management is a multidisciplinary process in which a broad range of variables, as well as a great deal of uncertainty, is involved with both parameters and the modeling process.A disaster system can be seen as a combination of not only physical and structural consequence of a natural hazard, but also socio-economical and environmental impacts also influence the assessment process. Decision-making in such a complex system that often relies on subjective and objective knowledge should be handled though a knowledge-based approach. The study was launched to review and discuss the multifaceted character of seismic risk and examining the feasibility ofa knowledge base system to model such problems effectively and efficiently. Such a knowledge base system should be capable of: (1) integrating various perspectives of seismic risk; (2) conducting seismic risk assessment; and (3) handling uncertainty within risk assessment and to support mitigation strategies.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | seismic risk, KBES, uncertainty, complexity, system analysis, risk mitigation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) > Institute for Resilient Infrastructure (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 May 2016 11:26 |
Last Modified: | 07 Jun 2016 16:35 |
Published Version: | http://dx.doi.org/10.1061/9780784413609.175 |
Status: | Published |
Publisher: | American Society of Civil Engineers |
Identification Number: | 10.1061/9780784413609.175 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88570 |