The belief rule-base (BRB) model is a new intelligent expert system with the characteristics
of both expert system and data-driven model. In BRB there are many if-then rules which use …

Classification problems are significant because they constitute a meta-model for multiple
theoretical and practical applications from a wide range of fields. The belief rule based …

The Belief Rule Base (BRB) is an expert system which can handle both qualitative and
quantitative information. One of the applications of the BRB is the Rule-base Inference …

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 …

Advancement and application of rule-based systems have always been a key research area
in computer-aided support for human decision making due to the fact that rule base is one of …

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) systems are an extension of traditional IF-THEN rule based systems
and capable of capturing complicated nonlinear causal relationships between antecedent …

In this paper, a generic rule-base inference methodology using the evidential reasoning
(RIMER) approach is proposed. Existing knowledge-base structures are first examined, and …

The combinatorial explosion problem is a great challenge for belief rule base (BRB) when a
complex system has overnumbered attributes and/or referenced values for the attributes …

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 …