This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Faculty of Mechanical Engineering, University of Nis , Niš , Serbia
Faculty of Mechanical Engineering, University of Nis , Niš , Serbia
Faculty of Production and Management, University of East Sarajevo , Lukavica , Bosnia and Herzegovina
Faculty of Business and Law, University MB , Beolgrade , Serbia
There is a complex relationship between competition in the product market and investment in business. On one hand, the relationship may be positive, while on the other hand, it might be negative. Various methodologies have been proposed to assess market power for the purpose of developing steps to mitigate or eliminate it. Commonly utilised methods rely on indices such as the Hirschman-Herfindahl Index (HHI). The main goal of this article was to assess how different economic and business variables affect forecasts of the Herfindahl-Hirschman Index (HHI), a very sensitive measure. An ANFIS (adaptive neuro fuzzy inference system) was employed to analyse the data and determine the most crucial factors for predicting HHI. The research indicates that the number of employees has the most significant influence on HHI predictions.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.
