The scoring habits of experts are embodied in expert evaluation scale (EES). We show that
many inaccurate consensus and ranking results can occur in group decision making (GDM) …

Consensus analysis is necessary for large-scale group decision making (LSGDM) for
ensuring reasonable decision results. This paper offers a new method for LSGDM with …

In multi-attribute group decision-making problem (MAGDM), the existing consensus
reaching process (CRP) is to obtain a consensus ranking of alternatives. However, these …

Nowadays, large-scale group decision making (LSGDM) has become a hot topic and
brought new challenges for the decision makers. This article proposes a framework of joint …

Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

In some complex group decision making cases, the opinions of decision makers (DMs)
present random characteristic. However, it is difficult to determine the range of opinions by …

In traditional group decision making, the inconsistent experts are usually forced to make
compromises toward the group opinion to increase the group consensus level. However, the …

A group consensus reaching process (CRP) based on dynamic expert reliability is proposed
in this paper. The method is designed to support uncertain multi-attribute group decision …

Existing consensus models focus on improving the group consensus level, but ignore
whether a higher group consensus level means higher mutual acceptance of decision …

In the consensus reaching process (CRP), the asymmetric trust relationships among
decision-makers (DMs) and discrepancies of DMs' opinions may exacerbate the intra-group …