Consensus reaching processes (CRPs) aim to help decision-makers achieve agreement
regarding the solution to a common decision problem, and consequently play an …

Due to complicated decision environment and limited knowledge of decision makers,
decision makers may provide incomplete hesitant fuzzy linguistic preference relations …

With the increase of technological and societal demands, more and more decision makers
are involved in the process of group decision making, which is called large-scale group …

The use of hesitant information in pairwise comparisons enriches the flexibility of qualitative
decision making and allows for hesitant fuzzy linguistic preference relation (HFLPR). This …

In multi-attribute group decision making, it is preferable that a set of experts reach a high
degree of consensus amongst their opinions, especially for large-scale group decision …

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 …

A linguistic distribution assessment is an effective approach to represent uncertain
preferences in large-scale group decision making (LSGDM). The same word often signifies …

Different feedback mechanisms have been reported in consensus reaching models to
provide advices for preference adjustment to assist decision makers to improve their …

Uncertainty and impreciseness usually exist widely in decision making problems nowadays.
When eliciting assessments over alternatives, decision makers tend to have some hesitancy …

Existing consensus models focus on improving the group consensus level, but ignore
whether a higher group consensus level means higher mutual acceptance of decision …