Building a fuzzy model for determining the level of social well-being of the population

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.310142

Keywords:

fuzzy sets, social well-being, fuzzy modelling, FIS-tree, fuzzy inference system

Abstract

This paper considers objects that affect the social security of the country. The complexity of such objects makes the development of computer systems in sociological research a difficult algorithmic task because of information uncertainty. Human thinking is based on inaccurate, approximate data, the analysis of which makes it possible to formulate clear decisions. In practice, there are usually no precise mathematical models that describe social objects. In such cases, it is advisable to use fuzzy mathematics as a tool for solving this problem. The main advantage of this approach compared to other artificial intelligence methods is the ability to interpret the results obtained. To assess the level of social well-being of the population, we used the mathematical apparatus of fuzzy set theory and fuzzy inference. The study is based on the OECD Better Life Index, which was developed by the Organization for Economic Cooperation and Development (OECD) to help countries assess and improve the quality of life of their citizens. In the course of the study, a fuzzy inference system was built to measure the social well-being of the population based on the indicators of the OECD Better Life Index. Since determining the level of social well-being is a complex task, a hierarchical structure with two main groups of social well-being indicators was constructed to simplify it. The resultant system evaluates each social indicator included in the OECD’s Better Life Index. Using the fuzzy inference model built, it was possible to assess the social well-being of the country’s population in a simple and transparent way in comparison with the OECD member countries. The results of the study make it possible to understand which indicators of social well-being of the country’s population are desirable or need to be improved in the future

Author Biographies

Marianna Sharkadi, Uzhhorod National University

PhD

Department of Cybernetics and Applied Mathematics

Adam Dorovtsi, Uzhhorod National University; Ferenc Rakoczi II Transcarpathian Hungarian College of Higher Education

Department of Cybernetics and Applied Mathematics

References

  1. Gnatenko, I. A., Rubezhanska, V. O. (2016). Parameters and indicators of social safety of the population of Ukraine. Visnyk Khmelnytskoho natsionalnoho universytetu. Ekonomichni nauky, 1, 242–249. Available at: https://dspace.luguniv.edu.ua/xmlui/bitstream/handle/123456789/2315/Parametr.pdf?sequence=1&isAllowed=y
  2. Van Mil, A., Hopkins, H. (2015). Cross-cutting themes. A wellbeing public dialogue. Hopkins Van Mil: Creating connections Ltd. Available at: https://whatworkswellbeing.wordpress.com/wp-content/uploads/2015/05/cross-cutting-public-dialogue-final.pdf
  3. Shanahan, D. F., Bush, R., Gaston, K. J., Lin, B. B., Dean, J., Barber, E., Fuller, R. A. (2016). Health Benefits from Nature Experiences Depend on Dose. Scientific Reports, 6 (1). https://doi.org/10.1038/srep28551
  4. Carrasco‐Campos, Á., Moreno, A., Martínez, L. (2017). Quality of Life, Well-Being and Social Policies in European Countries1. Quality of Life and Quality of Working Life. https://doi.org/10.5772/68003
  5. Facchinetti, S., Siletti, E. (2021). Well-being Indicators: a Review and Comparison in the Context of Italy. Social Indicators Research, 159 (2), 523–547. https://doi.org/10.1007/s11205-021-02761-0
  6. Murray, E. T., Shelton, N., Norman, P., Head, J. (2022). Measuring the health of people in places: A scoping review of OECD member countries. Health & Place, 73, 102731. https://doi.org/10.1016/j.healthplace.2021.102731
  7. Livingston, V., Jackson-Nevels, B., Reddy, V. V. (2022). Social, Cultural, and Economic Determinants of Well-Being. Encyclopedia, 2 (3), 1183–1199. https://doi.org/10.3390/encyclopedia2030079
  8. Das, K. V., Jones-Harrell, C., Fan, Y., Ramaswami, A., Orlove, B., Botchwey, N. (2020). Understanding subjective well-being: perspectives from psychology and public health. Public Health Reviews, 41 (1). https://doi.org/10.1186/s40985-020-00142-5
  9. Ruggeri, K., Garcia-Garzon, E., Maguire, Á., Matz, S., Huppert, F. A. (2020). Well-being is more than happiness and life satisfaction: a multidimensional analysis of 21 countries. Health and Quality of Life Outcomes, 18 (1). https://doi.org/10.1186/s12955-020-01423-y
  10. Kozlovskyi, S., Petrunenko, I., Baidala, V., Myronchuk, V., Kulinich, T. (2021). Assessment of public welfare in Ukraine in the context of the COVID-19 pandemic and economy digitalization. Problems and Perspectives in Management, 19 (1), 416–431. https://doi.org/10.21511/ppm.19(1).2021.35
  11. Pryimak, V., Holubnyk, O., Ucieklak-Jez, P., Kubicka, J., Urbanska, K., Babczuk, A. (2021). Fuzzy Technologies Modeling the Level of Welfare of the Population in the System of Effective Management. European Research Studies Journal, XXIV (3), 749–762. https://doi.org/10.35808/ersj/2382
  12. Saltkjel, T., Ingelsrud, M. H., Dahl, E., Halvorsen, K. (2017). A fuzzy set approach to economic crisis, austerity and public health. Part I. European countries’ conformity to ideal types during the economic downturn. Scandinavian Journal of Public Health, 45 (18_suppl), 41–47. https://doi.org/10.1177/1403494817706632
  13. Sharkadi, M. M., Dorovtsi, A. F. (2024). Fuzzy models’ use in sociological researches. Scientific Bulletin of Uzhhorod University. Series of Mathematics and Informatics, 44 (1), 175–181. https://doi.org/10.24144/2616-7700.2024.44(1).175-181
  14. Zadeh, L. A. (1999). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 100, 9–34. https://doi.org/10.1016/s0165-0114(99)80004-9
  15. Sharkadi, M. M. (2022). Fuzzy Sets of the Second Kind. Scientific Bulletin of Uzhhorod University. Series of Mathematics and Informatics, 41 (2), 163–170. https://doi.org/10.24144/2616-7700.2022.41(2).163-170
  16. Maliar, M. M., Polishchuk, V. V. (2018). Nechitki modeli i metody otsiniuvannia kredytospromozhnosti pidpryiemstv ta investytsiynykh proektiv. Uzhhorod: RA “AUTDOR-ShARK”, 174. Available at: https://dspace.uzhnu.edu.ua/jspui/handle/lib/57612
  17. Bahriy, V. (2012). Metodychni vkazivky do vykonannia praktychnykh robit z dystsypliny «Novi naukovo-tekhnichni napriamky elektronnykh system». Dniprodzerzhynsk. Available at: https://www.dstu.dp.ua/Portal/Data/3/22/3-22-mzp22.pdf
  18. Abramova, A. O. (2022). Development of a Fuzzy Matlab inference algorithm for decision-making under uncertainty conditions for designed objects. Proceedings of XVI International Conference Measurement and Control in Complex System (MCCS-2022). https://doi.org/10.31649/mccs2022.17
  19. Butko, T. V., Prokhorov, V. M., Prokhorchenko, H. O., Shumyk, D. V. (2022). Metodychni vkazivky do praktychnykh zaniat ta vykonannia indyvidualnykh zavdan z dystsypliny «Suchasni informatsiyni tekhnolohiyi v upravlinni zaliznychnymy pidrozdilamy». Kharkiv: UkrDUZT.
Building a fuzzy model for determining the level of social well-being of the population

Downloads

Published

2024-08-30

How to Cite

Sharkadi, M., & Dorovtsi, A. (2024). Building a fuzzy model for determining the level of social well-being of the population. Eastern-European Journal of Enterprise Technologies, 4(4 (130), 35–45. https://doi.org/10.15587/1729-4061.2024.310142

Issue

Vol. 4 No. 4 (130) (2024): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

License

Copyright (c) 2024 Marianna Sharkadi, Adam Dorovtsi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.