… the multiple self-confidence levels of experts in SNGDM as well as to resolve the above
research concerns. To do so, we propose a novel self-confidence-based consensus model with …

… aspects: fuzzy preference values consensus and self-confidence consensus. A dynamic weight
… the consensus efficiently. The effectiveness and advantages of the presented consensus …

… is formed considering multiple self-confidence levels into the … consensus building framework
for GDM problems with self-confident multiplicative preference relations. In this consensus …

… develops a consensus model taking into consideration the personalized individual self-confidence
and trust … Most of the previous consensus studies on GDM considering multiple self-…

… group consensus and individual independence and it is determined by individual self-confidence …
provides the foundation for DMs’ weights and self-confidence level. In Section 4, a …

… research on self-confidence and consensus in group decision making. It proposes a novel
method for group decision making that incorporates self-confidence and consensus through …

… The essential principle of soft consensus is to judge … consensus by comparing the level of
group consensus with the threshold. If the group does not reach an acceptable consensus, it is …

… Consensus analysis is necessary for large-scale group … uncertain self-confidence that follows
ordinal-cardinal consensus … In view of opinion deviation, uncertain self-confidence deviation…

… of consensus reaching process based on interval-valued number with self-confidence involving
… Firstly, a new concept called the interval-valued number with self-confidence (IVN-SC) is …

… in LSGDM with two processes: a self-confidence driven optimization based … , and a self-confidence
driven consensus reaching process. The proposed self-confidence driven consensus …