A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute Reliability
Assessing the health of complex systems is crucial for reducing failure risks and ensuring long-term stability and reliability. The Belief Rule Base (BRB) method effectively evaluates systems by combining observational data with expert knowledge. However, it faces challenges such as rule explosion,...
Saved in:
| Main Authors: | Qian Deng, Shaohua Li, Cuiping Yang, Ning Ma, Wei He |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10741533/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting global educational inequality with a hierarchical belief rule base model
by: Aosen Gong, et al.
Published: (2025-04-01) -
Health State Assessment Method for Complex Systems Based on Correlation Decoupled Belief Rule Base
by: Sulong Li, et al.
Published: (2025-06-01) -
A New Method Based on Belief Rule Base with Balanced Accuracy and Interpretability for Student Achievement Prediction
by: Zongjun Zhang, et al.
Published: (2024-10-01) -
A Chronic Kidney Disease Diagnostic Model Based on an Interpretable Deep Belief Rule Base
by: Yawen Zhao, et al.
Published: (2025-01-01) -
Lithium-Ion Battery Health Assessment Method Based on Double Optimization Belief Rule Base with Interpretability
by: Zeyang Si, et al.
Published: (2024-09-01)