POVERTY LEVEL EVALUATION ON THE BASIS OF THE FUZZY LOGIC FORMALISM

  • Марина Геннадиевна Семененко Bauman Moscow State University
  • Сергей Иванович Черняев Bauman Moscow State University

Abstract

In this article the problems are considered connected with poverty rate evaluation on the basis of a fuzzy logic formalism on the example of the elderly population. A set of fuzzy variables and parameters of the membership functions is offered on the basis of the analysis of references on a poverty problem and justification of the calculation algorithm choice is also given. The statistical data on the Kaluga region are used for the evaluation of parameters of membership functions. The detailed description of an algorithm and examples of calculations are provided. The model allows various modifications for various groups of the population.

Author Biographies

Марина Геннадиевна Семененко, Bauman Moscow State University

Candidate of Physics and Mathematics, Professor Assistant, Kaluga branch

Сергей Иванович Черняев, Bauman Moscow State University

Doctor of Engineering Sciences, Full Professor, Kaluga branch

References

1. Klenina V.I., Sofinskaya Ye.N., Pavlova Ye.A. Ponyatie social’noy zaschiti naseleniya i problem eyo statisticheskogo izucheniya // Chelovek i zhizn’. — 2013. — № 11(69), — S. 22-28.
2. Econometrica: ucheb. / pod red. I.I. Eliseevoy. — M.:Prospekt, 2009. — S. 119-125.
3. Problema pensiy. Vozmozhniye resheniya (Kratkoye izlozheniye nauchnogo doklada). — M.:In-t economiki RAN, 2011. — 27 S.
4. Kozireva P.M., Smirnov A.I. Rossiyskie pensioneri v usloviyah krizisa. // Sociologicheskie issledovaniya. – 2017. – № 1, – S. 64-73.
5. Semenenko M.G., Kniazeva I.V., Chernyaev S.I. Problemi vibora funktsii prinadlezhnosti nechetkih mnozhestv // Sovremenniye problemi nauki i obrazovaniya. — 2013. — № 5 [электронное издание]. URL: https://science-education.ru/ru/article/view?id=10303 (дата обращения 21.09.2017).
6. Nedosekin A.O. Metodologicheskiye osnovi modelirovaniya hozyaistvennoy deyatel’nosti s ispol’zovaniem nechotkih opisaniy: diss. d-ra econ. nauk. — SPb.: SPbGUEF, 2003.
7. Nivorozhkina L.I. Vozdeystviye potrebitel’skogo kreditovaniya na uroven’ neravenstva I bednosti domohozyaistv // Izvestiya visshih uchebnih zavedeniy. Severo-Kavkazskiy region. Seriya: obschestvennie nauki. – 2014. – № 4 (182), – S. 76-83.
8. Nivorozhkina L.I. Skritiye dohodi domohozyastv: opit empiricheskogo analiza // Terra Economicus. – 2016. – T. 14. – № 4, – S. 42-53.
9. Semenenko M.G., Chernyaev S.I. Funktsii pol’zovatelya v EXCEL 2013: razrabotka prilozheniy nechotkoy logiki // Uspehi sovremennogo yestestvoznaniya. – 2014. – № 3. – S. 114-117.
Published
2017-12-03
How to Cite
СЕМЕНЕНКО, Марина Геннадиевна; ЧЕРНЯЕВ, Сергей Иванович. POVERTY LEVEL EVALUATION ON THE BASIS OF THE FUZZY LOGIC FORMALISM. Modern Information Technologies and IT-Education, [S.l.], v. 13, n. 4, p. 264-269, dec. 2017. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/330>. Date accessed: 04 june 2025. doi: https://doi.org/10.25559/SITITO.2017.4.448.
Section
Scientific software in education and science