Українська
Losev, M., Holovko, O., & Skorin, Y.
(2021).
Modelling the process of assessing the corruption orientation of regulatory legal acts.
Development Management,
20(2),
8-16.
http://doi.org/10.57111/devt.19(2).2021.8-16
English
Article
Modelling the process of assessing the corruption orientation of regulatory legal acts
Received 01.02.2021, Revised 13.04.2021, Accepted 12.05.2021
Abstract
In the conditions of growing requirements for methods and means of combating negative phenomena of society, prevention and deterrence of corrupt actions of officials by creating new and editing old normative legal acts can significantly limit the development of such offenses and have a positive effect on the economic state of the country. The urgent task is to develop simple and effective methods of modelling and assessing the level of corruption orientation of normative legal acts. The paper examines the problem of quantitative assessment of the negative phenomenon of corrupt activity of officials, which can be stimulated by regulatory and legal acts. The purpose of the article was to improve the methods and techniques of analysis of the process of assessing the quality of normative legal acts by modelling their corruption orientation. The methods of fuzzy set theory and fuzzy logical inference, as well as the methods of probability theory are used in the process of modelling the quantitative assessment of the level of corruption oriented legal acts. The proposed approach makes it possible to simultaneously take into account separate criteria that are based on subjective assessments and have uncertainties of various natures, and are also characterized by a large number of them with their inequality and antagonism. At the same time, the modelling process provides the possibility of using both a clear and unclear representation of the initial data, reduces the influence of subjectivity of expert evaluation factors of a heuristic nature. There is no need to determine the weight of each individual factor when forming a global criterion for deciding on the level of corruption orientation of a normative legal act. On the basis of the obtained values of the global criterion, a decision is made to choose one or another variant of the normative legal act. The paper examines the stages of implementation of the proposed approach to assessing the level of corruption orientation of the normative legal act on the reclamation of forestry lands disturbed as a result of amber mining. The results of the work can be useful in the development of drafts of new legislation, as well as for researchers of methods of control and management of complex technical and economic systems
Keywords:
fuzzy set, membership function, linguistic variable, quality indicator, random variable, membership probability
- 830 Views
- Read article
References
[1] Law of Ukraine No. 1811-IX “On Prevention of Corruption”. (2010, October). Retrieved from https://zakon.rada.gov.ua/laws/show/1811-20#n271.
[2] Draft of corruption risk management methodology. (2021). Retrieved from https://nazk.gov.ua/uk/documents/metodologiya-upravlinnya-koruptsijnymy-ryzykamy/.
[3] Druzhinin, S.V., & Klymovych, O.K. (2018). The mobility assessment model of the special purpose information and telecommunication network. Collection of Scientific Works of the Kharkiv National University of the Air Force, 1, 107-110.
[4] Dodonov, A., Gorbachyk, O., & Kuznietsova, M. (2018). Increasing the survivability of automated systems of organizational management as a way to security of critical infrastructures. Information Technologies and Security, 24(1), 74-81.
[5] Khudov, H., Khizhnyak, I., Koval, V., Maliuha, V., Zvonko, A., Yunda, V., Nagachevskyi, V., & Berezanskyi, V. (2020). The efficiency estimation method of joint search and detection of objects for surveillance technical systems. International Journal of Emerging Trends in Engineering Research, 8(3), 813-819. doi: 10.30534/ijeter/2020/34832020.
[6] Havrys, A.P. (2018). Models and methods of forming portfolios of flood protection projects. (Candidate’s thesis, Taras Shevchenko Kyiv National University, Kyiv, Ukraine).
[7] Malyshko, Yu.M. (2016). Assessment and neutralization of the negative impact of administrative barriers on small business. (Candidate’s thesis, Scientific and Research Center for Industrial Problems of development of the NAS of Ukraine, Kharkiv, Ukraine).
[8] Laptiev, O., Shuklin, G., Hohonianc, S., Zidan, A., & Salanda, I. (2019). Dynamic model of cyber defense diagnostics of information systems with the use of fuzzy technologies. In 2019 IEEE international conference on advanced trends in information theory (pp. 116-119). Kyiv: Taras Shevchenko National University of Kyiv. doi: 10.1109/atit49449.2019.9030465.
[9] Dubois, D., & Koenig, J.L. (2017). Social choice axioms for fuzzy set aggregation. Fuzzy Sets and Systems, 43, 257-274. doi: 10.1016/0165-0114(91)90254-N.
[10] Malyshko, Yu.M., & Losev, M.Yu. (2015). Fuzzy-multiple estimation of the state of parameters of technical and economic systems. Collection of Scientific Works of the Kharkiv National University of the Air Force, 4(129), 33-38.
[11] Kononov, N.Yu., & Loseva, Yu.M. (2015). The method of multi-criteria assessment of the state of techno-economic systems based on the fuzzy-multiple analysis of indicators. Kharkiv: Kharkiv National University of the Air Force.
[12] Kondratenko, Yu.P., Kondratenko, G.V., & Sidenko, Y.V. (2019). Fuzzy multipliers and fuzzy logic. Mykolaiv: Chornomorsk National University named after Peter Mohyla.
[13] Zayats, V.M., Rybytska, O.M., & Zayats, M.M. (2017). Hidden possibilities of mathematics in processing vague information. Radioelectronics & Informatics, 4, 64-71. doi: 10.30837/1563-0064.4(79).2017.152305.
[14] Ponomarenka, V.S. (Ed.). (2019). Information systems and technologies. Kharkiv: “Stil-izdat” LLC.
[15] Ponomarenka, V.S. (Ed.). (2017). Information technologies: Problems and prospects. Kharkiv: S.G. Rozhko Publishing.
[16] Bojadziev, G., & Bojadziev, M. (2017). Fuzzy logic for business, finance and management. Singapore: World Scientific Publishing.
[17] Proposals of the State Service of Ukraine for Geodesy, Cartography and Cadastre to the Draft of Law of Ukraine No. 2366 “On the Reclamation of Forestry Land Disturbed as a Result of Amber Mining”. (2019, November). Retrieved from https://www.kmu.gov.ua/storage/app/bills_documents/document-1510017.pdf.
[18] Daugul, V., & Aleksenko, A. (2018). Current issues of agricultural land use by local self-government bodies. Kharkiv: Factor.
[19] Dudorov, O.O., Komarnytskyi, M.V., & Kalmykov, D.O. (2016). Criminal liability for illegal mineral extraction in Ukraine. Sumy: Luhansk State University of Internal Affairs named after E.O. Didorenko.
[20] Shust, G.P. (2019). Administrative and legal protection of land resources of Ukraine. (Candidate’s thesis, West Ukrainian National University, Ternopil, Ukraine).