Social Networks' omnipresence and ease of use has revolutionized the generation and
distribution of information in today's world. However, easy access to information does not …

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 …

Cybersecurity, as a crucial aspect of the information society, requires significant attention.
Fortunately, the concept of trust, originating from the field of sociology, has been under …

In social networks, trust relationships are the basis for interactions among decision nodes.
Trust relationships are subjective and dynamic, and there are only few sample data to …

Level of Trust can determine which source of information is reliable and with whom we
should share or from whom we should accept information. There are several applications for …

Trust is a typical relationship in social network, which in group decision making problems
relates to the inner relationship among experts. To obtain a complete trust relationship of a …

Uncertainty distributions can help resolve the difficult problem of measuring subjective
uncertainty within a trust relationship. This paper studies trust propagation and trust network …

Large-scale multi-attribute group decision analysis (LS-MAGDA) is common in practical
problems. As a type of preference relation, distributed preference relation (DPR) can …

Trust-aware recommender systems are advanced approaches which have been developed
based on social information to provide relevant suggestions to users. These systems can …

This study focuses on consensus-reaching in social network group decision-making. Using
Archimedean t-norms and t-conorms as the basis, this study introduces a family of interval …