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Title: Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators
Authors: Krylovas, Aleksandras
Dadelienė, Rūta
Kosareva, Natalja
Dadelo, Stanislavas
Keywords: human development
internal security
MCDM
weight balancing
WEBIRA
cluster analysis
Issue Date: 2019
Publisher: MDPI
Citation: Krylovas, A.; Dadelienė, R.; Kosareva, N.; Dadelo, S. Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators. Mathematics 2019, 7, 293.
Series/Report no.: 7;3
Abstract: New solutions and techniques for developing country policies are used under real conditions. The present study aims to propose a new approach for evaluating and ranking the European countries by using the interrelation between two groups of criteria, associated with the Human Development Index (HDI) and the World Internal Security and Police Index (WISPI). HDI and its components rank countries by value and detail the values of the components of longevity, education and income per capita. WISPI focuses on the effective rendering of security services and the outcome of rendered services. The priority of criteria is determined in the descending order of their correlation values with other group criteria. The criteria weights are set simultaneously for both groups by applying the weight balancing method WEBIRA. The methodology based on minimising sum of squared differences of the weighted sums within groups is used. Finally, the generalised criteria measuring the level of the country are calculated using the SAW method. Cluster analysis of the countries was carried out and compared with MCDM results. The study revealed that WEBIRA ranking of countries is basically consistent with the results of cluster analysis. The proposed methodology can be applied to develop the management policy of the countries, as well as to their evaluation and ranking by using various indices, criteria and procedures. The results of this research can also be used to reveal national policy choices, to point out government policy priorities.
Description: This article belongs to the Special Issue Optimization for Decision Making
URI: http://dspace.vgtu.lt/handle/1/3939
ISSN: 2227-7390
Appears in Collections:Moksliniai straipsniai / Research articles

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