Statistical Analysis of the Reliability of a Decision Obtained by the TOPSIS Method
Rūta Simanavičienė
Vilnius Gediminas Technical University, Lithuania
Jovita Cibulskaitė
Vilnius Gediminas Technical University, Lithuania
Published 2019-08-13


multicriteria problem
reliability of decision
TOPSIS method
statistical hypothesis
confidence interval

How to Cite

Simanavičienė R. and Cibulskaitė J. (2019) “Statistical Analysis of the Reliability of a Decision Obtained by the TOPSIS Method”, Lithuanian Journal of Statistics, 54(1), pp. 110-118. doi: 10.15388/LJS.2015.13886.


The tasks of making the most appropriate decisions taking into account a number of criteria are dealt with in variousfields such as engineering, industry, finance, economics and others. If the aim is to arrange the alternatives in a priority lineaccording to quantitative attributes, then multiattribute decision-making methods are suitable. Analysts using these methods usuallydo not take into account initial data errors – deviations in attribute values, in which case the decision may be unreliable. In thisarticle, several statistical analysis methods are proposed for the multicriteria decision to measure reliability: formulation of statisticalhypotheses and calculation of confidence intervals for parameters. Based on statistical analysis results, conclusions about thereliability of a multicriteria decision obtained using the TOPSIS method are formulated.
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