Development of fuzzy model for calculating the poverty of the region

• Main Authors: Tovmasyan Natalya, Nazarov Dmitriy, Ciurea Maria
• Format: Article
• Language: English
• Published: EDP Sciences 2021-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/71/e3sconf_wfsdi2021_01067.pdf

In the period of digitalization of the economy, informatization and automation of all business processes of any enterprise and the state as a whole is rapidly taking place. One of the global problems of any modern state is the problem of poverty associated with various economic aspects, including receiving benefits and compensations. The main group of the population with a high level of risk of falling into the group of the poor are pensioners, despite various social assistance programs. Social and economic support for the poor also reduces social tension in society. The main purpose of the research article is to build a fuzzy model for assessing the level of poverty in the region. The authors consider the essence of the concept of “poverty” and the existing methods for calculating the level of poverty in the region. FuzzyTech software was used to build and visualize the fuzzy model. In conclusion, the process of setting the fuzzy modeling problem and a description of its direct implementation by means of the selected software are described. The test of the developed fuzzy model for assessing the poverty level was carried out on the official indicators of the Kurgan region.