Science, Technologies, Innovations №1(29) 2024, 83-91 p

Huseynova Arzu Dogru qizi — 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;; ORCID: 0000-0002-0981-9923

Mazanova Ophelya Idris qizi — Head Programmer LMS, Azerbaijan State University of Economics (UNEC) Azerbaijan, Baku, Istiqlaliyyat Str. 6, AZ1001; +994 (012) 492-59-04;; ORCID: 0000-00017344-3492


Abstract. The author analyses the classification of the methods for the evaluation of an enterprise’s 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.
The 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.

Keywords: evaluation, innovative processes, Fuzzy Sets, Statistical method.

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