A Simplified Prediction Model of Structural Seismic Vulnerability Considering a Multivariate Fuzzy Membership Algorithm

• Published in: Journal of earthquake engineering : JEE Vol. 28; no. 3; pp. 707 - 730
• Main Author: Li, Si-Qi
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 17.02.2024; Taylor & Francis Ltd
• Subjects: Algorithms; Buildings; Cognitive ability; Damage assessment; Decision analysis; Decision making; Decision theory; Earthquake damage; Earthquakes; Empirical analysis; Fragility; fuzzy correlation weight model; fuzzy membership parameter complementary symmetric matrix; Mathematical models; Multivariate analysis; Multivariate fuzzy membership parameter; Parameters; Prediction models; rapid prediction vulnerability model; Regional development; Seismic activity; Seismic hazard; Seismic surveys; Structures; Vulnerability; vulnerability indices

Fuzzy decision-making and analytic hierarchical processes are ubiquitously used to predict the seismic damage and vulnerability of building clusters. However, the factors affecting the seismic vulnerability of building structures are diversification, cognitive uncertainty, and complex fuzziness. To...