Today, achieving the circular economy is a common goal for many enterprises and
governments all around the world. In the big data era, decision making is well-supported …

Consistency and consensus are important issues for linguistic group decision making
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …

In group decision making problems, there exist the situations that decision makers may use
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …

Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …

This paper develops a new personalized individual semantic (PIS) based consensus
reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …

With the development of social network platforms, large-scale group decision-making in
social network (LSGDM-SN) has been formed. As decision makers (DMs) come from …

This paper focuses on consensus reaching process (CRP) under social network in which the
trust relationship expressed by linguistic information. A new feedback mechanism in social …

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 …

Complex and uncertain decision-making environment increasingly requires the
collaborations of participants, the exchange and interaction of knowledge of different actors …

Recently, large-scale group decision-making in the social network context has become an
attractive research hotspot in decision science. The focus of large-scale group decision …