Nonlinear Quality of Life Index

Computer Science – Neural and Evolutionary Computing

Scientific paper

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8 pages, 1 figure, 1 table with data for 171 countries. In this case study we use only publicly available data taken from GAPM

Scientific paper

We present details of the analysis of the nonlinear quality of life index for 171 countries. This index is based on four indicators: GDP per capita by Purchasing Power Parities, Life expectancy at birth, Infant mortality rate, and Tuberculosis incidence. We analyze the structure of the data in order to find the optimal and independent on expert's opinion way to map several numerical indicators from a multidimensional space onto the one-dimensional space of the quality of life. In the 4D space we found a principal curve that goes "through the middle" of the dataset and project the data points on this curve. The order along this principal curve gives us the ranking of countries.

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