Miguel Turullols, Laura dePaternain Dallo, DanielLizasoain Iriso, María InmaculadaOchoa Lezaun, GustavoBustince Sola, Humberto2020-05-262020-10-0320190308-107910.1080/03081079.2019.1668386https://academica-e.unavarra.es/handle/2454/36971Ordered Weighted Averaging (OWA) operators are a profusely applied class of averaging aggregation functions, i.e. operators that always yield a value between the minimum and the maximum of the inputs. The orness measure was introduced to classify the behavior of the OWA operators depending on the weight vectors. Defining a suitable orness measure is an arduous task when we deal with OWA operators defined over more intricate spaces, such us intervals or lattices. In this work we propose a suitable definition for the orness measure to classify OWA operators defined on the set of m-dimensional intervals taking real values in [0, 1]. The orness measure is applied to decide which is the best partition of a continuous range that should be divided into four linguistic labels. This example shows the good behavior of the proposed orness measure.19 p.application/pdfeng© 2019 Informa UK Limited, trading as Taylor & Francis GroupOWA operatorInterval-valued fuzzy setsOrness measurePartitioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess