As a novel architecture of a fuzzy decision tree constructed on fuzzy rules, the fuzzy rule-
based decision tree (FRDT) achieved better performance in terms of both classification …

In the military confrontation environment, recognizing the target intention is helpful to know
the target actions in advance, and the global intention recognition of target formations can …

Scientists must understand what machines do (systems should not behave like a black box),
because in many cases how they predict is more important than what they predict. In this …

Dempster-Shafer (DS) evidence theory is widely used in various fields of uncertain
information processing, but it may produce counterintuitive results when dealing with …

An advancement in the paradigm of machine learning has been acclaimed by the arrival of
semi-supervised learning. In real life, it is challenging to get enough labeled samples. On …

Abstract Knowledge-based systems developed based on Dempster–Shafer theory and
prospect theory enhances decision-making under uncertainty. But at times, the traditional …

Diagnosing allergy comorbidities is challenging because the comprehensive studies on the
prevalence of each allergy and the relation with other diseases are scarce. Moreover, there …

This paper proposes a new fuzzy-logic-inspired multi-contrast-agent strategy (MCAS) for
optimal tumor classification. The proposed strategy accounts for the competitive and …

Abstract Information quality is widely used in many applications. However, how to measure
information quality in basic probability assignment accurately is still an open issue …

Biomedical data classification has become a hot research topic in recent years, thanks to the
latest technological advancements made in healthcare. Biomedical data is usually …