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 …

Multiple attribute decision making (MADM) problems often consist of various types of
quantitative and qualitative attributes. Quantitative attributes can be assessed by accurate …

The complex-value-based generalized Dempster–Shafer evidence theory, also called
complex evidence theory is a useful methodology to handle uncertainty problems of …

Dempster-Shafer theory is widely used in decision-making and considered as one of the
potential mathematical tools in order to fuse the evidence. However, existing studies in this …

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 …

Conventional multi-attribute decision-making (MADM) methods, with regard to different
attributes, typically require decision-makers (DMs) to use a unified information expression to …

Failure mode and effects analysis (FMEA) is a useful technology for identifying the potential
faults or errors in system, and simultaneously preventing them from occurring. In FMEA, risk …

Dempster-Shafer evidence theory has wide applications in many fields. Recently, A new
entropy called Deng entropy was proposed in evidence theory. Some scholars have pointed …

Abstract Dempster‐Shafer (D‐S) evidence theory has been used in many fields due to the
flexibility and effectiveness in modelling uncertainties, which is the extension of classical …

Dempster‐Shafer evidence theory has been widely used in many applications due to its
advantages with weaker conditions than Bayes probability. How to measure the uncertainty …