This work aims to apply a novel approach to assess the risks of maritime supply chains
(MSCs) within the context of the Maritime Silk Road (MSR) by employing fuzzy logic and …

This paper provides a literature review in clinical decision support systems (CDSSs) with a
focus on the way knowledge bases are constructed, and how inference mechanisms and …

In artificial intelligence, it is crucial for pattern recognition systems to process data with
uncertain information, necessitating uncertainty reasoning approaches such as evidence …

Social responsibility investment (SRI) has attracted worldwide attention for its potential in
promoting investment sustainability and stability. We developed a three-step framework by …

Water inrush disasters seriously endanger the construction safety of karst tunnels. To
accurately assess the water inrush risk level of karst tunnels, actively prevent and control …

This paper aims to establish a unique Evidential Reasoning (ER) rule to combine multiple
pieces of independent evidence conjunctively with weights and reliabilities. The novel …

Dempster-Shafer evidence theory is efficient to deal with uncertain information. One
assumption of evidence theory is that the source of information should be independent when …

Failure mode and effect analysis (FMEA) has been widely adopted to define, identity, and
remove potential and recognized hazards. As an indicator in traditional FMEA, the risk …

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 …

Sustainable supplier selection is a pressing mater in supply chain management. This paper
tackles the main pain points in decision making during supplier selection and order …