Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Bridge Risk Assessment Using a Hybrid AHP/DEA Methodology

Authors
Ying-Ming Wang1, Jun Liu, Taha M S Elhag, Luis Martínez López
1Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong
Corresponding Author
Ying-Ming Wang
Available Online October 2007.
DOI
10.2991/iske.2007.266How to use a DOI?
Keywords
Bridge risk assessment; Analytic hierarchy process; Data envelopment analysis
Abstract

The traditional analytic hierarchy process (AHP) method can only compare a very limited number of decision alternatives. When there are hundreds or thousands of alternatives to be compared, the pairwise comparison manner is obviously infeasible. In this paper we propose a hybrid AHP/DEA methodology to facilitate the risk assessment of hundreds or thousands of bridge structures, where pairwise comparisons are impossible.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
10.2991/iske.2007.266
ISSN
1951-6851
DOI
10.2991/iske.2007.266How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ying-Ming Wang
AU  - Jun Liu
AU  - Taha M S Elhag
AU  - Luis Martínez López
PY  - 2007/10
DA  - 2007/10
TI  - Bridge Risk Assessment Using a Hybrid AHP/DEA Methodology
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1561
EP  - 1565
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.266
DO  - 10.2991/iske.2007.266
ID  - Wang2007/10
ER  -