Cluster-based information fusion for probabilistic risk analysis in complex projects under uncertainty

• Main Authors: Zhang, Limao, Wang, Ying, Wu, Xianguo
• 其他作者: School of Civil and Environmental Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Civil engineering; Cluster Analysis; Information Fusion
• 在線閱讀: https://hdl.handle.net/10356/160258
• 機構: Nanyang Technological University

This paper proposes a hybrid soft computing approach that integrates the Dempster–Shafer (D–S) evidence theory and cluster analysis for probabilistic risk analysis in complex projects under uncertainty. The fusion model tends to solve multi-criteria decision-making problems with a focus on the infor...