ІНТЕЛЕКТУАЛЬНИЙ АНАЛІЗ РИНКІВ ПРАЦІ В ОБЛАСТЯХ УКРАЇНИ

Анотація

Based on some partial statistical indicators, the situation in the regional and national labor markets of Ukraine over the past 12 years has been analyzed. The results of the analysis showed that the global financial and economic crisis of 2008 significantly affected the unemployment rate, and the Russian aggression of 2014 affected the employment rate in the regions of Ukraine.

It is made the fuzzy complex analysis of labor markets in the regions of Ukraine. A hierarchical system of fuzzy logical inference is constructed, which models the relationship between the indicator of the development level of the complete labor market and the primary factors. At the same time, the following primary factors are used for the analysis: the level of economic activity, the employment rate and the unemployment rate of the population aged 15-70 years, as well as the average duration of the job search by unemployed persons aged 15-70 years (the entire population) (months).

The fuzzy logical output is formed by using the Mamdani algorithm. It is built a base of fuzzy logical inference, that is, a base of fuzzy knowledge, as well as a system of fuzzy logical equations, that provide the numerical values of membership functions and integral assessment of the level of development of the complete labor market.

At the stage of fuzzification, that is, at the stage of transition from clear input values (primary indicators) to fuzzy sets, the trapezoidal membership function and term-set with such linguistic terms: H - low, C - medium, B - high are selected for the corresponding linguistic variables. For the linguistic variable corresponding to the integral indicator, the bell-shaped type of membership functions is chosen. The transition to a clear value is carried out by means of a defuzzification procedure using the weight center method.

The calculations are made on the basis of official statistics in the regions of Ukraine for 2007 and 2017. The Fuzzy Logic Toolbox module of the MatLab program is used to automate the calculation of the educational potential assessment model. The results of the analysis have shown that between 2007 and 2017 the educational potential in almost all its regions and in Ukraine as a whole improved slightly.

Keywords: complete labor market, regional labor market, unemployment, intellectual analysis, fuzzy set, integral indicator.