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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格式: | Article |
語言: | English |
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2022
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在線閱讀: | https://hdl.handle.net/10356/159904 |
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