The aim of this review is to provide a broad overview of the state-of-the-art works mainly
published in the last ten years on expert systems applied in different medical domains …

Abstract Maritime Autonomous Surface Ships (MASS) have obtained much attention in
recent years. Navigation with human–machine cooperation is the core for L1–L3 MASS. In …

This paper aims to develop a novel model to assess the risk factors of maritime supply
chains by incorporating a fuzzy belief rule approach with Bayesian networks. The new …

Z-number is an effective model to describe uncertainty in the real world. Under the condition
that uncertainty reasoning is an important issue to process information, how to achieve Z …

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 …

Strong Artificial Intelligence (Strong AI) or Artificial General Intelligence (AGI) with abstract
reasoning ability is the goal of next-generation AI. Recent advancements in Large Language …

Widespread adoption of automated decision making by artificial intelligence (AI) is
witnessed due to specular advances in computation power and improvements in …

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 …

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 …

Classification tasks are of great importance in machine learning. However, class imbalance
is a universal problem that needs to be solved in classification and can greatly affect the …