Research Information System
International Conference on Intelligent and Fuzzy Systems, INFUS 2021, İstanbul, Turkey, 24 - 26 August 2021, vol.307, pp.121-128
Commodity markets are determined by a high degree of competition in the segment of pre-selection goods, which predetermines the use by trading firms in order to increase the competitiveness of achievements in the field of modern marketing communications. The use and finding of new sales channels, determination of the market potential is an important condition for the stable development of the company, taking into account the limited financial resources, high demands on the part of customers, and the volatility of the market environment. The aim of this work is the segmentation of the economic regions of the republic in order to determine their prospects and investment attractiveness using the theory of fuzzy sets. The problem of cluster analysis in conditions of uncertainty is considered and the issues of applying the fuzzy method of cluster analysis - k-means are considered. Experimental studies have been carried out on the example of automatic classification of economic regions of the Republic of Azerbaijan by macroeconomic indicators. Algorithms for fuzzy classification of k-means are described, where the number of clusters k is determined experimentally and taking into account the specifics of the division of cities and regions of the republic. A program for solving the problem of fuzzy clustering has been developed in the R language in the RStudio instrumental environment. The data for solving the problem were taken from the statistical reports of the State Statistics Committee of the Republic of Azerbaijan for 2013–2019.