David Pérez-Román

TL;DR: A new class of consensus measures on weak orders based on distances is introduced, and some of their properties are analyzed paying special attention to seven well-known distances.

TL;DR: An agglomerative hierarchical clustering process where the clusters of agents are generated by using a distance-based consensus measure to judge the feasible alternatives through linguistic terms.

TL;DR: This paper proposes a measure of consensus which is robust to some extensions of the ordinal framework and shows that there exists a limit for increasing the homogeneity level in a group of individuals by simply replicating their preference-approvals.

TL;DR: This paper introduces ordinal proximity measures in the setting of unbalanced qualitative scales by comparing the proximities between linguistic terms without numbers in a purely ordinal approach and proposes an agglomerative hierarchical clustering procedure based on these consensus measures.

TL;DR: The class of weighted Kemeny distances on weak orders is introduced for taking into account where the disagreements occur, and the properties of the associated consensus measures are analyzed.