Analysis of Factors Affecting the Development of Socio-Economic Systems of Vietnam Based on Combinatorial Methods

Abstract

Nowadays, the widespread use of methods of mathematical statistics in assessing the development of socioeconomic systems of regions. The method of analysis of the development of socio-economic systems of the regions of Vietnam on the basis of Fuzzy C-means with the help of Fuzzy gap statistics and python programming language is proposed. The result of the study divided the socio-economic systems of the regions of Vietnam into 4 groups and identify regions that can belong to more than 1 cluster with a defined probability. The application of Fuzzy C-means using Fuzzy gap statistics showed reliable and efficient allocation of regions in the groups. The disadvantage of applying Fuzzy C-means is the high computational complexity, which leads to higher implementation time of the algorithm. The work is recommended to be applied to students, specialists in the field of assessing the quality of the development of socio-economic systems or other areas of the country.