<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>5e10cc92-2b68-461c-8493-4d07fae04434</doi_batch_id><timestamp>20210319062709676</timestamp><depositor><depositor_name>wsea</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL</full_title><issn media_type="print">1991-8763</issn><doi_data><doi>10.37394/23203</doi><resource>http://wseas.org/wseas/cms.action?id=4073</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>2</month><day>20</day><year>2020</year></publication_date><publication_date media_type="print"><month>2</month><day>20</day><year>2020</year></publication_date><journal_volume><volume>15</volume><doi_data><doi>10.37394/23203.2020.15</doi><resource>http://wseas.org/wseas/cms.action?id=23195</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>Classification of Regions of Ukraine by The Level of Social Tension</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Tamara</given_name><surname>Klebanova</surname><affiliation>Economic Cybernetics Department, Simon Kuznets Kharkiv National University of Economics, Kharkiv, UKRAINE</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Olha</given_name><surname>Rudachenko</surname><affiliation>Department of Entrepreneurship and Business Administration, O.M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, UKRAINE</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Vitaliі</given_name><surname>Gvozdytskyi</surname><affiliation>Economic Cybernetics Department, Simon Kuznets Kharkiv National University of Economics, Kharkiv, UKRAINE</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Ievgen</given_name><surname>Mozgovyi</surname><affiliation>Department of Entrepreneurship and Business Administration, O.M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, UKRAINE</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Lidiya</given_name><surname>Guryanova</surname><affiliation>Economic Cybernetics Department, Simon Kuznets Kharkiv National University of Economics, Kharkiv, UKRAINE</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>The analysis of indicators that reflect changes in the social, economic and political spheres in recent years has shown their significant deterioration and the possibility of growing social tensions in the regions of Ukraine. The purpose of the study is to classify the regions of Ukraine according to the level of formation of social tensions and to determine anticipative measures aimed at preventing the creation of crisis situations. The article proposes a methodical approach to the classification of regions using the methods of cluster, discriminant analysis and analysis of variance according to the level of social tension, which includes two main stages: substantiation of the system of socio-economic indicators characterizing the level of social tension; selection and substantiation of models of classification of the regions. Within the first stage of the methodical approach the system of indicators which reflect changes in social, economic and political spheres of Ukraine in modern transformational conditions was constructed. Within the framework of the second stage of the methodical approach on the basis of cluster analysis the classification of regions according to the level of formation of social tension was carried out. The classes of regions were selected: with a low level of formation of social tension; with an intensified level of formation of social tension; with a high level of formation of social tension. The results of the study showed that the number of regions in the class with a high level of social tension is constantly growing and, unfortunately, the number of regions with high socio-economic development is decreasing. The classification of regions made it possible to determine the list of preventive measures that can reduce the losses of the state associated with the containment of possible crises in the social sphere. 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