Human Development Index (HDI) which is calculated in the reports of United Nations Development Program (UNDP) for countries across the world has been used as a useful device for ranking countries in terms of human development. Since the amount of HDI gained from the arithmetic average amount of life expectancy at birth, education and GDP per capita indexes, and taking into account the same weight for each of the above indexes, some researchers have showed criticisms. So in this study, attempt has been made to make use of Entropy and AHP techniques for obtaining the weights of indexes that constitute HDI and the use of SAW and TOPSIS techniques and Numerical Taxonomy analysis as replacement for arithmetic average method for ranking countries in terms of human development range. Each of the above methods due to their specific approach have different results, which, apart from the fact that each of the above results is interpreted and statistical analysis done on them, they have been used for offering an aggregated ranking model of countries, and the results are analyzed. According to results, ranking with TOPSIS model provides more acceptable results. However, about using weights of entropy or AHP, we can say that in entropy method, weight of each index is from its distinctive power to rank entries, even if this index have no importance for decision-makers
