Randomness-oriented Multi-dimensional Cloud-based belief rule Base approach for complex system modeling
作者：
Highlights：
• Randomness and interpretability are major challenges which motivates this study.
• The cloud model is adopted for modeling the randomness from an interval perspective.
• The belief rule base (BRB) is adopted to provide interpretability.
• The new Cloud-BRB approach is proposed and applied in a practical risk assessment case.
• Case study results are more informative and show consistency with previous approaches.
摘要
•Randomness and interpretability are major challenges which motivates this study.•The cloud model is adopted for modeling the randomness from an interval perspective.•The belief rule base (BRB) is adopted to provide interpretability.•The new Cloud-BRB approach is proposed and applied in a practical risk assessment case.•Case study results are more informative and show consistency with previous approaches.
论文关键词：Cloud model,Belief Rule Base (BRB),Complex system modeling,Randomness,Interpretability
论文评审过程：Received 21 April 2020, Revised 3 August 2021, Accepted 21 April 2022, Available online 30 April 2022, Version of Record 13 May 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117283
