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 …

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 …

Formal ship safety assessment is a new approach that has attracted great attention in the
marine industry over the last several years. In this paper, following a brief review of the …

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 …

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 …

In multiple attribute decision analysis (MADA), one often needs to deal with both numerical
data and qualitative information with uncertainty. It is essential to properly represent and use …

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 …

In this paper generic decision models and both rule and utility based techniques for
transforming assessment information are developed to enhance an evidential reasoning …

Environmental impact assessment (EIA) problems are often characterised by a large number
of identified environmental factors that are qualitative in nature and can only be assessed on …