Faced with backward and uneven economic conditions and an irrational and increasingly
inequitable social structure, healthcare disparities are widening and the healthcare …

Social networks are gaining importance as an important application landscape for machine
learning techniques. Currently, it is prevalent thinking to introduce social networks into group …

With the enrichment of social platforms, large-scale group decision-making (LSGDM) in
social networks has gradually taken shape. In practice, experts may show limited …

Consistency and consensus are two key challenges under uncertain circumstances in
pairwise comparison-based group decision-making (GDM), especially in a distributed …

Social network (SN) holds significant sway over the consciousness and behavior of involved
individuals, serving as an evolutionary medium for opinion dynamics models. Consensus is …

This paper introduces a novel consensus theoretical framework designed to effectively
manage non-cooperative behavior in social network group decision making (SNGDM). It …

The increasing complexity of social aSctivities requires an expanding number of people to
be involved in decision-making, so that the large-scale multi-attribute group decision-making …

Smart products, as an increasingly significant part of smart manufacturing systems, have
brought users extreme experiences. To provide a significantly better user experience and …

The increasing complexity of decision-making environments has led to a rise in the
involvement of decision-makers (DMs) in group decision-making problems. Clustering is …

Since the authors in Yager (2015), Yager (2018), Dong et al.(2017), and Gao et al.(2021)
proposed the concept of golden rule representative value (GRRV) for intervals ranking …