[EN] In the last two decades, the construction of composite indicators
to measure and compare multidimensional phenomena in a broad spectrum of
domains has increased considerably. Different methodological approaches are
used to summarise huge datasets of information in a single figure. This paper
proposes a new approach that consists in computing a multicriteria composite
performance interval based on different aggregation rules. The suggested
approach provides an additional layer of information as the performance
interval displays a lower bound from a non-compensability perspective, and
an upper bound allowing for full-compensability. The outstanding features of
this proposal are: 1) a distance-based multicriteria technique is taken as the
baseline to construct the multicriteria performance interval; 2) the aggregation
of distances/separation measures is made using particular cases of Minkowski
Lp metric; 3) the span of the multicriteria performance interval can be
considered as a sign of the dimensions or indicators balance.Garcia-Bernabeu, A.; Hilario Caballero, A.; Pla Santamaría, D.; Salas-Molina, F. (2021). Monitoring multidimensional phenomena with a multicriteria composite performance interval approach. International Journal of Multicriteria Decision Making (Online). 8(4):368-385. https://doi.org/10.1504/IJMCDM.2021.120760S3683858