Predicting building damages in mega-disasters under uncertainty: an improved Bayesian network learning approach

This paper develops a hybrid approach that integrates the cloud model and Bayesian networks (BNs) to predict building damages induced by earthquakes under uncertainty. The cloud model is used to perform data discretization for modeling information losses and uncertainties. The learned BN from the hi...

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Bibliographic Details
Main Authors: Chen, Weiyi, Zhang, Limao
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/159904
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Institution: Nanyang Technological University
Language: English