A social network analysis (SNA) trust–consensus based group decision making model with
interval-valued fuzzy reciprocal preference relation (IFRPR) is investigated. The main …

In fuzzy large group decision making methods, an effective clustering method can greatly
reduce the complexity of decision making, and it is an important ingredient for reaching a …

Consensus reaching process (CRP) is very important for multi-criteria group decision
making (MCGDM). Recently, social network driven CRP methods have been deeply …

This study proposes a non-threshold consensus model that combines the minimum cost and
maximum consensus-increasing for multi-attribute large group decision-making (MALGDM) …

With the scale of group decision making increasing, it is a crucial issue to get the utmost of
collective intelligence for seeking the optimal solution. In this study, we propose an …

Social media has played an increasingly important role in decision-making for public issues,
and the concerns of the public, an important reference for which is in social media, have …

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 …

In this paper, a sparse representation-based intuitionistic fuzzy clustering (SRIFC) approach
is presented for solving the large-scale decision making (LSDM) problem. It consists of two …

Trust relationship is an effective basis for reducing the dimensionality of decision makers
(DMs) for group decision making (GDM) problems in the context of social networks, and …

Nowadays, society demands group decision making (GDM) problems that require the
participation of a large number of experts, so-called large scale group decision making (LS …