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 …

Abstract The Extended Belief Rule-Based (EBRB) system has been widely used to solve the
real-world problems concerning with incompleteness, uncertainty, and ambiguity. However …

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 …

Extended belief-rule-based (EBRB) system is a representative rule-based system and has
attracted much attention due to its capability of solving the problems of combinatorial …

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

Among the computational intelligence techniques employed to solve classification problems,
the fuzzy rule-based classification system (FRBCS) is a popular tool capable of building a …

Global warming and climate change are gaining traction in recent years. As a major cause of
global warming, carbon emissions were centered to China's climate change policy …

In recent years, data imbalance in the conventional classification problem has raised great
interest in the industry. However, concerning the rule-based systems, this problem has been …

Complex system modeling technology is a hot topic. Nowadays, many complex industrial
systems present three characteristics: multiple input indicators, limited data and …

Belief rule-base (BRB) expert system is one of recognized and fast-growing approaches in
the areas of complex problems modeling. However, the conventional BRB has to suffer from …