D number theory is a relatively new uncertainty reasoning approach and its application has
been gaining momentum due to its distinctive features and potential advantages. This theory …

Dempster-Shafer evidence (DSE) theory, which allows combining pieces of evidence from
different data sources to derive a degree of belief function that is a type of fuzzy measure, is …

Predictive maintenance of production lines is important to early detect possible defects and
thus identify and apply the required maintenance activities to avoid possible breakdowns …

Supplier selection in food supply chains (FSCs) is not much explored due to the inherent
difficulties, complexities and nature of food industry. Food security and quality are top row …

Human–machine interface (HMI) design evaluation is critical in interactive product
development because it directly affects the cost of subsequent design and user experiments …

As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an
important role in handling the uncertainty under the uncertain environments. The …

Healthcare waste (HCW) management is a complex and challenging problem. It is one of
the priorities in health. An increase in the number of the health services provided leads to an …

Evidence theory is an effective methodology for modeling and processing uncertainty that
has been widely applied in various fields. In evidence theory, a number of distance …

Dempster–Shafer theory (DST) has extensive and important applications in information
fusion. However, when the evidences are highly conflicting with each other, the Dempster's …

In real applications of artificial and intelligent decision-making systems, how to represent the
knowledge involved with uncertain information is still an open issue. The negation method …