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Multiple-criteria Decision Making and Data Envelopment Analysis
BRABCOVÁ, Michaela
This thesis explores methods of multiple-criteria decision making in connection with data envelopment analysis. A model task is to compare all the countries of the European Union according to the growth of their small and medium-sized enterprises. The differences and similarities of the chosen approaches are shown on the selected data. The results include the ranking of countries based on efficiency according to the CCR model and a comparison of the results from data envelopment analysis and the described multi-criteria methods using Spearman coefficients. As the results of the multi-criteria evaluation of alternatives depend strongly on the weights, their stability for the weighted sum approach and PROMETHEE was therefore examined.

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