{"id":5522,"date":"2024-04-02T10:45:33","date_gmt":"2024-04-02T07:45:33","guid":{"rendered":"https:\/\/nti.ukrintei.ua\/?page_id=5522"},"modified":"2026-04-03T13:03:27","modified_gmt":"2026-04-03T10:03:27","slug":"science-technologies-innovations-%e2%84%96129-2024-83-91-p","status":"publish","type":"page","link":"https:\/\/nti.ukrintei.ua\/?page_id=5522&lang=en","title":{"rendered":"Science, Technologies, Innovations \u21161(29) 2024, 83-91 p"},"content":{"rendered":"

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Huseynova Arzu Dogru qizi<\/strong> \u2014 D. Sc. in Economics, Professor, Department of Digital Economics, Institute for Scientific Research on Economic Reforms, Azerbaijan, Baku, H. Zardabi Str. 88, AZ1011; +994 (012) 492-59-04; arzu.huseynova@economy.gov.az; ORCID: 0000-0002-0981-9923<\/p>\n

Mazanova Ophelya Idris qizi<\/strong> \u2014 Head Programmer LMS, Azerbaijan State University of Economics (UNEC) Azerbaijan, Baku, Istiqlaliyyat Str. 6, AZ1001; +994 (012) 492-59-04; ofelya.mazanova@unec.edu.az; ORCID: 0000-00017344-3492<\/p>\n

MULTIFACTOR MODEL FOR ASSESSING INNOVATIVE POTENTIAL BASED ON FUZZY SET THEORY<\/strong><\/p>\n

Abstract.<\/strong> The author analyses the classification of the methods for the evaluation of an enterprise\u2019s innovative potential. According to the author, the most effective model taking into account the uncertainty factor is the model based on the theory of fuzzy sets. The model has obvious advantages in comparison with the expert and statistical methods of evaluation, since it allows us to minimize the evaluation errors.
\nThe scientific-practical value of the results consists in the possibility of their application in combination with the analysis of the official statistical data in the course of perfection of the state scientific and technical and innovative policy in the direction of a more intensive use of the scientific knowledge and achievements in the interests of modernization of the economy of Azerbaijan. The proposed approach can ensure an information integration of the subjects of the scientific organizations and be used for a complex research of the industrial, innovative and economic-administrative processes within the framework of the development of science.<\/p>\n

Keywords:<\/strong> evaluation, innovative processes, Fuzzy Sets, Statistical method.<\/p>\n

REFERENCES<\/strong><\/div>\n
    \n
  1. Gorbenko, A. A. (2012). Systematic approach to analyzing the structure and nature of innovation capacity. Journal \u201cIntegral\u201d, 1 (0.5 ps).<\/li>\n
  2. Goncharenko, A. P. (2007). The role of the national system of scientific and technical information in the development of innovative economy in Ukraine. Problems of science, 2, 14\u201318.<\/li>\n
  3. Zubov, L. G., Andreeva, O. N., Antropov, O. A., & Arzhanykh, E. V. (2012). Public research organizations: the state, the dynamics and problems of development. Information-analytical bulletin, 4.<\/li>\n
  4. Malyshev, L. A., & Shestakov, I. V. (2012). Analysis of approaches to the evaluation of the innovation activity of Russian companies. Herald PNIF. Socio-economic sciences. 14 (38), 101\u2013110.<\/li>\n
  5. Nadzhafov, Z. N., Gasimov, F. H., & Huseynova, A. D.\u00a0(2011). National Innovation Policy of the Republic of Azerbaijan. Science and Innovation, September.\u00a036\u201341.<\/li>\n
  6. Huseynova, A., & Mazanova, O. (2016). \u201cModel evaluation of an innovative capital\u201d 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT). Baku, Azerbaijan. 1\u20133. https:\/\/doi:10.1109\/ICAICT.\u00a02016.7991775.<\/li>\n
  7. Huseynova, A., & Mazanova, O. (2023). Est\u0131mat\u0131on Of Reg\u0131onal Innovat\u0131on Act\u0131v\u0131ty. Agora International Journal of Economical Sciences. 17(2), 87\u201398.<\/li>\n
  8. Huseynova Arzu, Sal\u0131fova Tarana, Mazanova Ophelya, Estimation of innovation activity of the regions of the Azerbaijan republic. 37th International Scientific Conference on Economic and Social Development \u201cSocio Economic Problems of Sustainable Development\u201d (Baku, 14\u201315 February 2019). 41\u201350.<\/li>\n
  9. Huseynova, A., & Mazanova, O. (2023). Short-term forecasting of gross domestic product. Science, Technologies, Innovations. 2 (26), 3\u201311. https:\/\/doi:10.35668\/2520-6524-2023-2-01.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    \u00a0PDF Huseynova Arzu Dogru qizi \u2014 D. Sc. in Economics, Professor, Department of Digital Economics, Institute for Scientific Research on Economic Reforms, Azerbaijan, Baku, H. Zardabi Str. 88, AZ1011; +994 (012) 492-59-04; arzu.huseynova@economy.gov.az; ORCID: 0000-0002-0981-9923 Mazanova Ophelya Idris qizi \u2014 Head Programmer LMS, Azerbaijan State University of Economics (UNEC) Azerbaijan, Baku, Istiqlaliyyat Str. 6, AZ1001; … <\/p>\n

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