About multi-attribute group decision making process, the opinions of different decisions will
interfere with each other, or be affected by the decision-making environment, resulting in an …

The correspondence between decision parameters and group assessments is a new and
important concept in multi-criteria group decision making (MCGDM), named as group …

Dempster's rule of combination (DRC) is widely used for uncertainty reasoning in intelligent
information system, which is generalized to complex domain recently. However, as the …

Abstract The Dempster-Shafer (DS) evidence theory, renowned for its efficacy in processing
uncertain information, has garnered substantial attention in recent decades. A generalized …

With outstanding capability to express uncertain information, complex evidence theory can
be widely applied in a multiplicity of fields of representation and fusion of information …

Uncertainty modeling and reasoning in intelligent systems are crucial for effective decision-
making, such as complex evidence theory (CET) being particularly promising in dynamic …

The information volume of mass function (IVMF) is an effective tool for measuring the
uncertainty of basic probability assignments in power sets. However, the current IVMF will …

Time series data contains the amount of information to reflect the development process and
state of a subject. Especially, the complexity is a valuable factor to illustrate the feature of the …

Dempster–Shafer evidence theory (DSET) is extensively employed in multi-source data
fusion applications. Nonetheless, when belief probability assignments (BPAs) exhibit …

This paper introduces a novel consensus theoretical framework designed to effectively
manage non-cooperative behavior in social network group decision making (SNGDM). It …