In consensus-based multiple attribute group decision making (MAGDM) problems, it is
frequent that some experts exhibit non-cooperative behaviors owing to the different areas to …

In classical multiple attribute group decision-making (MAGDM), experts are usually required
to evaluate a predefined set of alternatives according to a predefined set of attributes …

In multiple attribute group decision making (MAGDM), it is preferable that the set of experts
reach a high degree of consensus amongst their opinions before applying a selection …

Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

This paper presents two novel consensus rules with minimum adjustments for multiple
attribute group decision making (MAGDM) problems. One rule is to minimize the distance …

Social trust network (STN) has facilitated information exchange between experts during
interactions. Some feedback mechanisms have been used to provide advices for opinion …

Experts are assumed to be mutually independent and incomplete decision matrices are
used, in traditional large-scale group decision-making (LSGDM). Social network analysis …

Large-scale multiattribute group decision-making (LMGDM) requires a large number of
participants with different knowledge structures. This study proposed an LMGDM consensus …

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 …

With the rapid growth of Web 2.0 technology, a new paradigm has been developed that
allows many users to participate in decision-making processes within online social …