Consistency testing and adjustment of preference relations are prerequisites for group
decision making; the forced integration of preference relations without consensus may lead …

This paper explores a limited trust propagation-based consensus model considering
individual attitude for preference modification in a social networked setting with uncertain …

The shift to a new era of dealing with big data has driven continuous progress and
development in computer science, artificial intelligence and machine learning. This change …

Group decision making with consensus requirement is the process of reaching group
consensus, ranking the feasible alternatives and selecting the best one. In this paper, we …

For a proper management of large-scale group decision-making (LSGDM) problems, it is
essential to consider multiple factors such as the relationship between the decision-makers …

In order to avoid misleading decision solutions in group decision making (GDM) processes,
in addition to consensus, which is obviously desirable to guarantee that the group of experts …

In this paper, we introduce a new type of fuzzy preference structure, called Pythagorean
fuzzy preference relations (PFPRs), to describe uncertain evaluation information in group …

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 …

In group decision making (GDM) processes, prior to the selection of the best alternative (s), it
would be desirable that experts achieve a high degree of consensus or agreement between …

Abstract Szmidt and Kacprzyk (Lecture Notes in Artificial Intelligence 3070: 388–393, 2004a)
introduced a similarity measure, which takes into account not only a pure distance between …