… any such aggregation operator can also be characterized as a quantile, but not necessarily
as a quantile with respect to a probability measure. An aggregation operator satisfies ordinal …

… We denote this as α quantile aggregate. We observe that this operator is such that by specifying
a value α we are able define the weights for any argument cardinality. To see that this is …

… We consider the problem of aggregating ordinal information with quantitative or qualitative
… quantile operations. For a bag 〈x1,x2,...,xn〉 in real or in (finite) ordinal scales, the quantile …

… models and measures of risk from an ordinal point of view, and which … and of quantile-based
risk measure within this ordinal setting… interested in certain aggregation functionals, namely, …

… and we study a class of aggregation functionals that generalizes Sugeno integrals to the …
quantile in a ordinal framework and and we consider an axiomatic representation of quantiles …

… We develop a purely ordinal model for aggregation functionals for lattice-valued functions,
comprising as special cases quantiles, the Ky Fan metric and the Sugeno integral. For …

… aggregation methods, we look to social choice theory, which typically deals with the aggregation
of ordinal … We show that a (1/e)-quantile fair policy always exist and that this ratio is tight; …

… We develop a purely ordinal model for aggregation operators for lattice valued functions,
comprising as special cases quantiles, Ky Fan metrics and Sugeno integrals. For modelling …

… In this sense, a set of quantiles can be interpreted as a … 1956), we suggest a number of
quantiles between 5 and 9 because, as … In this paper, we shall deal with the first two aggregation …

… Finally, Betting Consistency allows writing the aggregation operator as a quantile with … It
requires that the preference is ordinal, that is, the only importance for the ranking of any act is the …