This paper proposes a robust ordinal regression feedback consensus model based on trust
relationships for social network group decision-making problems in intuitionistic fuzzy …

Group decision making (GDM) problems require consensus reaching processes; however,
these can be time consuming and costly. As experts change their evaluations after …

To date, a large number of consensus reaching processes (CRPs) have been reported in
group decision making (GDM). Trust relationships should be an essential element in …

In group decision-making, the incomplete probabilistic linguistic preference relation
(InPLPR) has been widely studied because it can flexibly reflect the decision psychology of …

Traditional large-scale group decision-making (LSGDM) methods assume that the decision-
makers (DMs) are independent, and the trust relationships among DMs in the social network …

A two-fold personalized feedback mechanism is established for consensus reaching in
social network group decision-making (SN-GDM). It consists of two stages: 1) generating the …

Social network group decision making (SN-GDM) provides valuable support for obtaining
agreed decision results by effectively utilizing the connected social trust relationships among …

With the rapid development of societal and technological paradigms, large-scale group
decision making becomes an emerging topic. In conventional group decision making …

This paper proposes a consensus-trust driven framework of bidirectional interaction for
social network large-group decision making. Firstly, the concepts of interaction consensus …

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 …