Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …

In order to enable failure mode and effects analysis (FMEA) to play a better quality control
role in complex manufacturing products or systems, the current research status of FMEA is …

For complex decision-making problems, the joint evaluation of multiple experts is
indispensable for efficiently addressing them. Therefore, multi-attribute group decision …

This paper proposes a consensus model for multi-experts multi-criteria decision making
(MEMCDM) problems with probabilistic linguistic term sets (PLTSs), which also considers …

Taking actions to prevent the occurrence of failure in advance, rather than improving
reliability through post-mortem testing is crucial for improvement of products' quality and …

There are usually multiple stakeholders involved in a group decision-making (GDM)
problem. The probabilistic linguistic preference relation (PLPR) is an effective tool to …

Nowadays, the increasing complexity of the social environment brings much difficulty in
group decision making. The more uncertainty exists in a decision-making problem, the more …

Probabilistic linguistic term sets (PLTSs) have many applications in the field of group
decision making (GDM) because it includes both linguistic evaluation and probabilistic …

Group emergency decision-making is an uncertain and dynamic process, in which the
decision makers may be bounded rational and have a risk appetite. To depict the vague …

This study proposes a more rational and effective multi-attribute large group decision
making (MALGDM) method with probabilistic linguistic term set (PLTS) from reliability …