The determination of basic probability assignment (BPA) is a crucial issue in the application
of Dempster–Shafer evidence theory. Classification is a process of determining the class …

Fault diagnosis is a typical multisensor information fusion problem. The information obtained
from different sensors, such as sound, pressure, vibration, and temperature, can be …

Fault diagnosis (the process of finding out whether system or equipment is in fault and
where the corresponding fault is by using various inspection and testing method) on the …

This study proposes an architecture based on a weighted fuzzy Dempster-Shafer framework
(WFDSF), which can adjust weights associated with inconsistent evidence obtained by …

In multi-sensor fusion, the Dempster–Shafer theory is frequently used for fault diagnosis and
other decision-making problems. However, if the information collected from various sensors …

Abstract k-Nearest neighbor (KNN) rule is a very simple and powerful classification
algorithm. In this article, we propose a new KNN-based classifier, called the local mean …

The Dempster–Shafer evidence theory (D–S theory) is one of the primary tools for
knowledge representation and uncertain reasoning, and has been widely used in many …

Aiming at the poor performance of individual classifier in the field of fault recognition, in this
paper, a new ensemble classifier is constructed to improve the classification accuracy by …

Distributed environments, technological evolution, outsourcing market and information
technology (IT) are factors that considerably influence current and future industrial …

Median clustering is of great value for partitioning relational data. In this paper, a new
prototype-based clustering method, called Median Evidential C-Means (MECM), which is an …