Analyse the Most Significant Components for Forecasting the HerfindahlHirschman Index Using an Adaptive Neuro-Fuzzy Technique

It is important to note that the link between investment in company and competitiveness in the product market is rather complicated. It is possible that the connection is favourable on the one hand, but it is also possible that it is bad on the other side. For the goal of designing measures to reduce or remove market power, a number of different procedures have been presented as potential approaches to evaluate market power. Indices, such as the Hirschman-Herfindahl Index (HHI), are employed in the majority of the methodologies that are often used. Given that the Herfindahl-Hirschman Index (HHI) is a very sensitive indicator, the primary objective of this research was to investigate the ways in which various economic and business factors influence projections of the HHI. In order to examine the data and identify the most important parameters for predicting HHI, an adaptive neuro fuzzy inference system, also known as an ANFIS, was used. According to the findings of the study, the variable that has the most significant impact on HHI projections is the number of workers.