302

  • Ссылка в интернете
  • DOI
  • Дата создание в систему UzSCI 19-07-2021
  • Количество прочтений 302
  • Дата публикации 27-03-2021
  • Язык статьиIngliz
  • Страницы217-223
Ключевые слова
Ўзбек

One of the important issues in customs practice is to improve the classification criteria on the basis of the Commodity Nomenclature of Foreign Economic Activity (CN FEA) of the Republic of Uzbekistan, based on the characteristics of the newly modified vehicles. To date, one of the most pressing issues in foreign economic activity (FEA) is the automation of  physical and electronic data on goods movement (s) in the customs procedures of import and export, the classification of the vehicle parameters imported and exported to the territory of the Republic of Uzbekistan. In the course of our research, the system has been developed on the basis of 4-stage goods classification methods  for customs purposes of passenger cars. In the field of customs,as well as in the electronic declaration of light vehicles, its two-way, that is, a set of technical characteristics and the necessary and primary data for customs purposes, forming a product description, which are inextricably linked and it serves as a primary source in customs procedures. Ensuring the reliability of the light vehicle characteristics, the search for data from quantitative and qualitative sources in the assessment, in the process of collecting them, the values obtained may differ from the real ones. The algorithm for primary data reliability increase in the brand description classification is an important criterion.

The algorithm for primary data reliability increase is presented in the classification system of product descriptions. In order to ensure the reliability of the light vehicle characteristics, the search for data from quantitative and qualitative sources in the assessment, in the collection process, there is information that the values obtained may differ from the real ones. In addition to systematic, random errors, the study examined factors that affect the primary data reliability by falsifying data. Also, in the electronic declaration of light vehicles, a two-way classification system, comprising technical characteristics and necessary primary data for customs purposes, its model, the algorithm for  primary data reliability increase in column 31 of the customs cargo declaration has been developed

№ Имя автора Должность Наименование организации
1 Sevinov J.U. Professor TDTU
2 Khamroev U.R. Assistant Customs Institute of the State Customs Committee Republic of Uzbekistan
3 Nashvandova G.M. O'qituvchi TDTU
№ Название ссылки
1 1. Commodity Nomenclature of Foreign Economic Activity of Republic of Uzbekistan. 2017 version – Т.: 2017, 655- page. 2017.
2 2. Andreeva E.I. Development of methodologies and improvement of the mechanism of management of identification of goods in customs offices: Monograph / E.I.Andreeva. M.: RIO Russian customs academy, 2016. 202 p.
3 3. Karimqulov K.M., Hamroev U.R. Issues of classification of light vehicles on the basis of the nomenclature of goods // Proceedings of the VII International Scientific-Practical Conference "Problems and Prospects of Commodity Chemistry and Folk Medicine at the Andijan State University named after Zahiriddin Muhammad Babur of the Ministry of Higher and Secondary Special Education of the Republic of Uzbekistan". 2020 year 18-19 September. 177-181 pages.
4 4. Karimqulov K.M., Hamroev U.R. Development of classification of light transport means by commodity nomenclature. International scientific and practical journal. «Global science and innovations 2019: Сentral Аsia». Nur-sultan, 2019. - P. 6-9. (02.00.00; №2).
5 5. Karimqulov K.M., Hamroev U.R. Classifications of light vehicles based on product nomenclature // Universum: Technical science, electronic scientific journal. Part 1. - Moscow, Pub. «MSSNO» 2020, №9(78) -С. 8-14. (02.00.00; №2).
6 6. J.Sevinov, U.Khamroyev. Models of the classification system for the characteristics of light vehicles based on the goods nomenclature. International Journal of Advanced Research in Science, Engineering and Technology. Vol. 8, Issue 1, Jan 2021. ISSN: 2350-0328.
7 7. Ayzerman M.A., Braverman E.M., Rozonoer L.I. Potential function method in machine learning theory. – М.: «Science», 1970. – 495 p.
8 8. Igamberdiev H.Z., Boeva O.H. and Sevinov J.U. Sustainable Algorithms for Selecting Feedback in Dynamic Object Management Systems. Journal of Advanced Research in Dynamical and Control Systems. Volume 12, 07-Special Issue (2020). Pages: 2162-2166. DOI: 10.5373/JARDCS/V12SP7/20202337.
9 9. Mallaev А.R., Xusanov S.N., Sevinov J.U. Algorithms of Nonparametric Synthesis of Discrete One-Dimensional Controllers. International Journal of Advanced Science and Technology, Vol 29, № 5s (2020). –PP. 1045-1050.
10 10. Savel'ev A.N., Uchaev D.Iu. Sovmestnoe ispol'zovanie kolichestvennykh i kachestvennykh istoch-nikov informatsii v ASU TP [Joint use of quantitative and qualitative sources of information in ASU TP]. Sovremennыe nauchnыe issledovaniia i innovatsii. 2015. № 9. Available at: URL: http://web.snauka.ru/issues/2015/09/57901 (data obrashcheniya: 14.01.2021).
11 11. Sevinov J.U., Zaripov O.O., Zaripova Sh.O .: The Algorithm of Adaptive Estimation In The Synthesis of The Dynamic Objects Control Systems. Inter. J. of Adv. Science and Techn., 29 (5s), 1096-1100 (2020). http://sersc.org/journals/index.php/IJAST/article/view/7887.
12 12. Braverman E.M., Muchnik I.B. Structural methods of processing empirical data. - M.: Nauka, 1983. - 430 p.
13 13. Igamberdiyev H.Z., Sevinov J.U., Zaripov O.O. Regulyarniye metodi i algoritmi sinteza adaptivnix system upravleniya s nastraivayemimi modelyami. - T.: TashGTU, 2014.
14 14. Zaripov, O.O., Shukurova, O.P., Sevinov, J.U.: Algorithms for identification of linear dynamic control objects based on the pseudo-concept concept. Inter. J. of Psy. Rehab. 24(3), 261-267 (2020). DOI: 10.37200/IJPR/V24I3/PR200778.
15 15. N.R. Yusupbekov, H.Z. Igamberdiev, J.U. Sevinov . Formalization of Identification Procedures of Control Objects as a Process in the Closed Dynamic System and Synthesis of Adaptive Regulators // Journal of Advanced Research in Dynamical and Control Systems. Volume 12, 06-Special Issue. Pages: 77-88. DOI:10.5373/JARDCS/V12SP6/SP20201009
16 16. А. N. Savelev, D. Yu. Uchaev. Increasing the reliability of primary sources of information in socio-technical systems. ISSN 2072-9502. Vestnik AGTU. Ser.: Management, computer technology and informatics. 2016. № 4.
17 17. Official website of The World Customs Organization [electronic resource] /access mode: http://www.wcoomd.org/en/media/newsroom/2019/december/first-regional-workshop-to-discuss-the-use-of-data-analytics-for-risk-assessment.aspx.(visited date: 04.05.2020).
18 18. http://customs.uz/uz/news/view/4792 – Official web-site of State Customs Committee.
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