Issue |
E3S Web Conf.
Volume 250, 2021
1st Conference on Traditional and Renewable Energy Sources: Perspectives and Paradigms for the 21st Century (TRESP 2021)
|
|
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Article Number | 02001 | |
Number of page(s) | 15 | |
Section | Traditional Energy Sources | |
DOI | https://doi.org/10.1051/e3sconf/202125002001 | |
Published online | 09 April 2021 |
Analysis of some indicators by means of fuzzy logic on the example of Azerbaijani energy enterprises
1
Center of Digital Economy, Azerbaijan State University of Economics, 6, Istiglaliyyat str., AZ1001, Baku, Azerbaijan
2
Department of Digital Technologies and Applied Informatics, Faculty of Digital Economy, Azerbaijan State University of Economics, 6, Istiglaliyyat str., AZ1001, Baku, Azerbaijan
3
Moses Lab Marketing Agency, 156, Aynalı Plaza, Ahmed Rajabli str., Baku, Azerbaijan
* Corresponding author: ulviyya.rzayeva@unec.edu.az
One of the most promising areas of scientific research in the field of analysis, forecasting and modelling of economic phenomena and processes is fuzzy logic. In the article with the use of the fuzzy logic apparatus (Fuzzy Logic toolkit of the MATLAB software package) a model for assessing the development of manufacturing indicators is developed. Key indicators for evaluating the activities of energy enterprises are analysed. The model is based on microeconomic indicators of the enterprises’ efficiency and development. The presented indexes pass through the stage of fuzzification, at which each measure is assigned the membership function; then comes the decision stage; finally, the task ends by the stage of defuzzification, i.e., bringing the resulting fuzzy value to precise ones. The application of the Mamdani fuzzy inference algorithm allows getting an exact value of the consolidated indicator of enterprise development. The resulting value allows making operational management decisions in the energy enterprises in real-time.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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