A method for exploring the interdependencies and importance of critical infrastructures
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The fundamental limitation of analytical network processing is that it performs a pairwise comparison while assigning a crisp value, which cannot capture uncertainty and stochastic behavior in risk data of complex projects.
“However, the fundamental limitation of this approach is that it performs a pairwise comparison while assigning a crisp value [29] to capture uncertainty and stochastic behavior in risk data of complex projects [30].”
From Cost Overrun Risk Assessment and Prediction in Construction Projects: A Bayesian Network Classifier Approach (2022) · cites this paper as [29]
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- Authors
- Huang, C.-N., Liou, J. J. H., & Chuang, Y.-C.
- Affiliations
- Central Police University (TW)
- National Taipei University of Technology (TW)
- Corresponding author
- Liou, James J.H.
- Venue
- Knowledge-Based Systems
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 55
- Pages
- 66-74
- ISSN
- 0950-7051 (ISSN-L)
- OpenAlex
- W1972753128
- Cited by
- 106
- References
- 33
- Citations by year
- 2026: 1 · 2025: 9 · 2024: 4 · 2023: 8 · 2022: 9 · 2021: 8 · 2020: 9 · 2019: 19 · 2018: 14 · 2017: 8 · 2016: 4 · 2015: 7 · 2014: 6
- FWCI
- 7.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Knowledge-Based Systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Resilience and Vulnerability Analysis
- Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Science and Mapping
- Keywords
- critical infrastructure, infrastructure interdependencies, feedback effects, DEMATEL, analytic network process, DANP, infrastructure prioritization, infrastructure failure
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