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 …

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 …

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 …

Belief rule base (BRB) expert system has been widely used in complex system modeling.
Readability and consistency are the primary characteristics and advantages of BRB …

Multiple attribute decision making (MADM) problems often include quantitative and
qualitative attributes which can be assessed by numerical values and subjective judgements …

In current studies of the belief rule base (BRB) model, the attributes are assumed to be fully
reliable and the observation data are directly used as input. However, in engineering …

Understanding the socially influenced decision-making process that determines voluntary
vaccination is essential for develo** strategies and interventions of vaccine-preventable …

Abstract Probability theory and Dempster–Shafer theory are two germane theories to
represent and handle uncertain information. Recent study suggested a transformation to …

Safety assessment is one of important aspects in health management. In safety assessment
for practical systems, three problems exist: lack of observation information, high system …

Advancement and application of rule-based expert systems have been a key research area
in explainable artificial intelligence (XAI) because the rule-base is one of the most common …