Abstract
The purpose of research is to evaluate the factors influencing the competitiveness of machine-building enterprises and to develop a methodology for fuzzy cognitive mapping (FCM) to analyze these factors.Methods. Data analysis and modeling methods, including FCM, were used in this study to formalize the relationships between factors and their influence on the competitiveness of machine-building enterprises. Data related to factors affecting competitiveness, such as technological level, product quality, price level, innovation potential, and managerial experience, were analyzed.Results. The study resulted in the development of an FCM methodology to analyze the relationships between factors and their influence on the competitiveness of machine-building enterprises. The factors influencing competitiveness, including technological level, product quality, price level, innovation potential, and managerial experience, were evaluated. Key factors with the greatest impact on competitiveness were identified, and the degrees of influence of each factor on competitiveness were established using a scale to formalize the strength of influence.Conclusion. The results of the study demonstrate that the FCM method is an effective tool for analyzing the competitiveness of machine-building enterprises. It allows for uncertainty and vagueness in the input data and provides a better understanding of the relationships between conceptual variables. The developed FCM methodology can be used to make informed decisions to improve enterprise competitiveness. Overall, the study confirms the importance of analyzing factors influencing competitiveness and demonstrates that FCM can help to represent a complex system and its relationships in a more visual and understandable form. This can be useful for enterprise management in making informed decisions to improve company competitiveness and increase market share.
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