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

• المؤلفون الرئيسيون: Zhang, Limao, Wang, Ying, Wu, Xianguo
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Civil engineering; Cluster Analysis; Information Fusion
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/160258
• المؤسسة: 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...