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

Nowadays, with the increasing complexity of decision-making environment, more and more
large-scale group decision making (LGDM) problems are faced. Due to the existence of …

To promote the development of the peer-to-peer (P2P) accommodation in sharing economy,
it is important to understand and ensure the determinants of high-level user satisfaction …

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

Clustering is a well-known unsupervised machine learning approach capable of
automatically grouping discrete sets of instances with similar characteristics. Constrained …

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

With social media and e-democracy development, decision-making environments and
problems have become increasingly complex. Traditional group decision-making, including …

Minimum-cost consensus (MCC) using the optimization-based consensus rule (OR) has
been developed and widely applied to various group decision-making (GDM) contexts …

With the development of social media, social networks (SNs) have gradually become the link
of information exchange between people. The social trust network (STN), a typical SN, is …

This paper investigates how to conduct bidirectional feedback mechanism by establishing
trust chains in social network group decision making (SN-GDM), which is more applicable …