Multi-classifier information fusion in risk analysis

This paper develops a novel multi-classifier information fusion approach that integrates the probabilistic support vector machine (SVM) and the improved Dempster-Shafer (D-S) evidence theory to support risk analysis under uncertainty. Safety levels for various risk factors can be classified separate...

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Bibliographic Details
Main Authors: Pan, Yue, Zhang, Limao, Wu, Xianguo, Skibniewski, Miroslaw J.
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/155275
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Institution: Nanyang Technological University
Language: English