With the development of big data and social computing, large-scale group decision making
(LGDM) problems attract much attention and become merging with social networks or …

The consensus reaching process (CRP) is a dynamic and iterative process for improving the
consensus level among experts in group decision making. A large number of non …

In social networks, decision makers of group decision-making (GDM) can have interactive
behaviors with different individual relationships. With large-scale group participation …

In Internet venture capital (VC), it is very important to fully analyze and evaluate the
influential factors. Because this activity usually involves amounts of experts, it makes sense …

In large-scale group decision making (GDM), noncooperative behavior in the consensus
reaching process (CRP) is not unusual. For example, some individuals might form a small …

Group decision making (GDM) can be defined as an environment where there exist a set of
possible alternatives and a set of individuals (experts, judgements, etc.). Preference relation …

Generating collective opinion based on probability distribution function aggregation
occupies crucial roles in accomplishing probabilistic risk analysis, probabilistic-forecast …

Consensus reaching process (CRP), as an essential part of group decision making (GDM),
can facilitate more effective consensus by taking human behaviors into account. Extending …

Large-scale group decision-making (LSGDM) is characterised by a large number of experts
and a complex consensus reaching process. Clustering is used to divide the large group …

The main challenges in large scale group decision making (LSGDM) problem are how to
tackle with the great number of participants and how to achieve a common solution accepted …