Classification of Countries based on MacroEconomic Variables using Fuzzy Support Vector Machine

recent years, socio economic statuses of countries have been reviewed by the statistical researcher to find out interconnection between macro-economic variables. In this paper a cross country data set have been taken including various macro-economic variables. Data mining techniques have been applied to classify the countries using Control of Corruption, Human Development Index, Economic Freedom Index, Political Stability etc. The outcome of this research work can benefit the countries involved, in its regulation and monitoring processes, investors and business parties involved and also to maintain stability in fast changing economic scenario in the era of globalization. This paper suggests a different approach to classify countries using Fuzzy Support Vector Machine (FSVM).