Traffic noise acts as a major disturbance to residents living in the vicinity of roads, railways
and airports, leading to various health problems to people. Evaluating different noise-control …

This paper aspires to explore and construct a more objective and automated large-scale
group decision-making (LSGDM) model. The concept of vacillation degree based on …

In group decision making (GDM), consensus level is regarded as a critical criterion to
measure the effectiveness and availability of the final group decision solution. Consensus …

Large-scale group decision-making (LSGDM), which involves dozens to hundreds of
decision-makers (DMs), is attracting extensive attention and has become an interesting and …

In recent years, different feedback mechanisms have been reported in many consensus
models to improve decision levels. However, the improvement of decision level often leads …

In a multiple-criteria group decision-making process, it may be unrealistic to assume that all
experts are specialized in all aspects of the entire problem and can reach full agreement. To …

With the rapid development of society and continual progress of science and technology,
large-scale group decision-making (LSGDM) problems are very commonly encountered in …

In multiattribute large‐group decision‐making (MALGDM), the ideal state indicates a high
degree of consensus for decision‐makers. However, it is difficult to reach a consensus …

Existing studies on social-network large-scale decision making (SN-LSDM) have overlooked
two vital roles of the information credibility of decision makers (DMs): first, information …

Probabilistic linguistic large‐group decision‐making (LGDM) is becoming a hot topic in the
field of decision science. In general, clustering and consensus‐reaching are the two …