Akademik Məlumat İdarəetmə Sistemi
10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions (ICSCCW), Prague, Czech Republic, 27 - 28 August 2019, pp.190-196
In this article were analyzed indicators, such as unemployment rate, life expectancy at birth, Gini coefficient, research and development expenditures, poverty level, military expenditure, which formulate social security. On the stage of fuzzification of indicators social security was applied Gaussian membership function. In order to define level of country's social security formula fuzzy intuitionistic linguistic fuzzy number and average intuitionistic linguistic fuzzy number were used. By using statistical information for two periods - first (2006-2009) and second (2014-2016) years of Azerbaijan defined fuzzy aggregate index social security. Based on the calculation by formulas of average fuzzy linguistic number define results for two periods. Results of calculation level of social security in the second period were bigger than in the first period. Main indicators such as, that had an impaction quality of social security, were improving Poverty level, Gini coefficient and results gave recommendation for improving level Research & Development expenditures, level of Unemployment.