Fuzzy systems are effective tools for processing uncertain and incomplete information in managerial decision making. Despite their increasing use, no comprehensive bibliometric analysis would identify research trends and key directions in this field. The aim of this article is to analyze scientific trends, key researchers and the most influential publications in the field using a bibliometric approach. The methodology is based on bibliometric analysis of scientific articles from leading databases such as Scopus and Web of Science. The study will include a quantitative assessment of publications by year, an analysis of leading authors and their scientific impact, and a thematic profiling of key concepts in clusters. The use of bibliometric indicators will make it possible to highlight the main concepts and technologies that dominate the scientific literature and to identify possible future development directions. The expected results include the identification of the main trends in the use of fuzzy financial control systems, the analysis of key research topics and the creation of bibliometric maps that visualize the dynamics of scientific knowledge in the field. The article will contribute to a better understanding of the innovations and perspectives in the development and application of intelligent control systems based on fuzzy logic, and provide valuable directions for future research.