Large-scale group decision-making (LSGDM) based on social networks has become an
important part of practical decision-making. The trust relationship in social networks has an …

In the bounded confidence model, it is widely known that individuals rely on the opinions of
their close friends or people with similar interests. Meanwhile, the decision maker always …

This paper addresses the synchronization problem of fractional-order complex
spatiotemporal networks (CSNs) based on partial differential equations with delays via …

Abstract Current Online Social Networks represent a means for the continuous generation
and distribution of information, which is slightly changed when moving from a user to …

This paper aims at developing a novel preference ranking organization method for
enrichment evaluations (PROMETHEE) using a Pythagorean fuzzy combinative distance …

In modern online social networks, each user is typically able to provide a value to indicate
how trustworthy their direct friends are. Inferring such a value of social trust between any pair …

Clustering and consensus reaching are two crucial processes for solving social network
large-scale decision-making (SN-LSDM) problems. This paper explores the moderating …

Uninorms comprise an important kind of operator in fuzzy theory. They are obtained from the
generalization of the t-norm and t-conorm axiomatic. Uninorms are theoretically remarkable …

Nowadays, the increasing complexity of the social environment brings much difficulty in
group decision making. The more uncertainty exists in a decision-making problem, the more …

In traditional social network analysis-based large-scale group decision making (LSGDM),
decision makers (DMs) often trust others based on social prestige/status without sufficient …