This article focuses on employing the dynamic programming algorithm to solve the large-
scale group decision-making problems, where the preference information takes the form of …

With the rapid development of societal and technological paradigms, large-scale group
decision making becomes an emerging topic. In conventional group decision making …

This study proposes a classification-based consensus framework in social network group
decision making, which aims to classify alternatives into several ordinal classes from best to …

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

Consensus reaching process (CRP) has received increasing attention in recent years, as
the demand for decision results with mutual agreement has greatly grown. With the current …

Consensus reaching is essential in group decision-making (GDM) since it can mitigate
conflicts between expert opinions and promotes the further implementation of decision …

Unlike other linguistic modelings, probabilistic linguistic terms can clearly describe the
importance of different linguistic terms. With respect to group decision-making (GDM) …

For complex decision-making problems, the joint evaluation of multiple experts is
indispensable for efficiently addressing them. Therefore, multi-attribute group decision …

Decision-making situations have been dramatically impacted by the development of the
economy and technology. Large-scale group decision making (LSGDM) in social networks …

Based on the notion that cardinal consensus and ordinal consensus are of equal
importance, a novel consensus reaching model for multi-attribute large group decision …