Warsaw University of Life Sciences – SGGW, Faculty of Applied Informatics and Mathematics, Nowoursynowska str. 159, 02-776 Warsaw, Poland; The University of Western Australia, Computer Science and Software Engineering, 35 Stirling Highway, WA 6009 Crawley, Perth, Australia
This work deals with some properties of synthetic measures designed to differentiate objects in a multidimensional analysis. The aggregate synthetic measures are discussed here to rank the objects including those validating the concentration spread. The paper shows that currently used various measures (based either on a single or a multiple model object) do not satisfy the necessary conditions requested to be met by a "good" synthetic measure.
Binderman, Z., Borkowski, B., Kozera, R., Prokopenya, A., & Szczesny, W. (2018). On mathematical modelling of synthetic measures. Mathematical Modelling and Analysis, 23(4), 699-711. https://doi.org/10.3846/mma.2018.042
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