A transparent digital twin (DT) is designed for output control using the belief rule base (BRB),
namely, DT-BRB. The goal of the transparent DT-BRB is not only to model the complex …

The selection of the optimal supply is an open and crucial issue in supply chain
management (SCM), which can be considered as a multi-criteria decision-making (MCDM) …

As the generalization of fuzzy systems, the belief rule base (BRB) expert system is
transparent and interpretable. However, the interpretability of BRB has almost been ignored …

In the healthcare industry, hospital service quality assessment is an important work, which
can not only promote medical service providers to improve the status quo of the industry, but …

Expert knowledge is the foundation of the interpretability of belief rule base (BRB) expert
system. However, the rule explosion problem and weak extendability of BRB limit the …

Conventional multi-attribute decision-making (MADM) methods, with regard to different
attributes, typically require decision-makers (DMs) to use a unified information expression to …

Belief rule base (BRB) expert system has been widely used in complex system modeling.
Robustness is crucial to the modeling performance and safety of BRB. For a better …

The digital twin technology effectively fuels improvements in the quality and efficiency of
robotic assembly, especially for sophisticated processes. High-quality digitalization requires …

Health assessment is important for the safe and reliable operation of lithium-ion battery.
However, there exist two typical issues in existing health assessment models for lithium-ion …

Decision support systems imposed a challenge for efficiently reasoning through utilizing
stored unordered rules. The Extended Belief Rule-Base (EBRB) system, renowned for its …