Distortions introduced by normalisation of values of criteria in multiple criteria methods of evaluation
Articles
Askoldas Podviezko
Vilnius Gediminas Technical University
Published 2014-12-15
https://doi.org/10.15388/LMR.A.2014.10
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Keywords

multiple criteria decision aid methods
normalisation
distortions

How to Cite

Podviezko A. (2014) “Distortions introduced by normalisation of values of criteria in multiple criteria methods of evaluation”, Lietuvos matematikos rinkinys, 55(A), pp. 51–56. doi: 10.15388/LMR.A.2014.10.

Abstract

Quantitative multiple criteria decision aid (MCDA) methods of evaluation gain increasing popularity among researchers. The idea of the methods is to comprise values ofcriteria characterising each object into a single non-dimensional cumulative criterion, which reflects attractiveness or position of the object in view of an objective chosen. Normalisation of weights is a compulsory procedure whenever criteria of different dimensions are present. There several methods of  normalisation available. Nevertheless, each method may introduce distortions into transformed data. The paper is devoted to exploration of problems related to such distortions and reveals particular cases.

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