… We assume a consensus model that computing the consensus measures by means of measure
functions applied … To measure the level of agreement among experts, it is necessary to …

… consensus measure, the consensus process can be modelled as a dynamic and iterative
group … In each step of this process, the moderator knows the actual level of consensus between …

… of decision makers. For putting in practice this idea, we have introduced a class of consensus
measures based on … We have illustrated the weighted decision procedure with an example. …

… Soft consensus approaches better reflects a real human perception of the essence of consensus
… consensus approaches based on soft consensus measures that have been proposed. …

… problems to compute soft consensus measures and discuss their advantages and drawbacks.
We identify three different coincidence criteria to compute soft consensus measures: (1) …

… degree of consensus. To do so, different approaches, in which the decision makers express
… approaches obtaining soft consensus measures to handle group decision-making situations …

… develops a novel ordinal consensus measure with feedback strategies to … consensus, an
acceptable consensus threshold should be given. (6) Most existing papers set the consensus …

… soft consensus measure, the consensus process can be modelled as a dynamic and iterative
group … Soft consensus measures represent the level of agreement among experts, and …

… In the group context, consensus decision making is often considered a desirable outcome. …
, a consensus index is introduced to measure the consensus level between group members. …

… In this study, we propose an approach to consensus measure on the basis of the …
consensus measure between the probabilistic linguistic information provided by group decision …