This paper develops a new personalized individual semantic (PIS) based consensus
reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …

In group decision-making, the incomplete probabilistic linguistic preference relation
(InPLPR) has been widely studied because it can flexibly reflect the decision psychology of …

This paper investigates decision making with normalized probabilistic linguistic preference
relations (NPLPRs). Consistency analysis is indispensable for deriving the reasonable …

With the rapid development of society and the increasingly complex economic environment,
management and decision-making tasks are becoming more and more difficult. Meanwhile …

The consensus reaching process (CRP) is a key step in group decision-making (GDM), in
which reaching a satisfactory consensus often requires certain costs, such as time, money …

This paper proposes a novel consensus reaching model for multi-attribute group decision
making (MAGDM) with information represented by means of linguistic distribution …

Large-scale group decision-making (LSGDM) problems have drawn general attention from
scholars. The distribution linguistic preference relation (DLPR) is a flexible and practical tool …

Adequate representation of individual opinions, as well as effective multi-criteria group
decision-making (MCGDM) models, are critical to the evaluation of livable cities. Problems …

Large group decision-making (LGDM) with the participators from multiple subgroups of
stakeholders is a valuable research topic with many practical backgrounds. In the LGDM …

The use of probabilistic uncertain linguistic preference relations (PULPRs) enriches the
flexibility of decision makers (DMs) in group decision making (GDM). However, the GDM …