As a generation of fuzzy sets, intuitionistic fuzzy sets (IFSs) have a more powerful ability to
represent and address the uncertainty of information. Therefore, IFSs have been used in …

Abstract Dempster–Shafer (D–S) evidence theory is useful for handling uncertainty
problems in multisensor data fusion. However, the question of how to handle highly …

The Pythagorean fuzzy set (PFS) which is an extension of intuitionistic fuzzy set, is more
capable of expressing and handling the uncertainty under uncertain environments, so that it …

Dempster–Shafer evidence theory has been widely used in various fields of applications,
because of the flexibility and effectiveness in modeling uncertainties without prior …

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 …

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 …

Decision Tree is widely applied in many areas, such as classification and recognition.
Traditional information entropy and Pearson's correlation coefficient are often applied as …

The conflict problem in D‐S evidence theory has attracted the attention of many scholars.
Conflict coefficients are proposed to describe conflicts between bodies of evidence. The …

This study develops an R-mathematical programming method for multiple attribute group
decision-making (MAGDM) problems with assessment values of alternatives and truth …

Intuitionistic fuzzy sets (IFSs), as a representative variant of fuzzy sets, has substantial
advantages in managing and modeling uncertain information, so it has been widely studied …