<p>Enterprise organizational change occurs as a company adjusts its structure, culture, or strategy in response to internal and external pressures. Such transitions often pose significant challenges for Human Resource (HR) management in the modern corporate world. Transformation processes’ inherent ambiguity and unpredictability are frequently exceedingly challenging for traditional HR tactics. The research proposes that OHRS-FET explore optimizing HR strategies (OHRS) using fuzzy control systems (FCS) to enhance decision-making during enterprise transformations (ET). OHRS-FET focuses on developing a fuzzy control-assisted framework that adapts HR decisions to real-time organizational conditions, addressing factors such as employee satisfaction, workload, and turnover intention. Incorporating quantitative data from HR surveys and qualitative data from expert interviews, the suggested OHRS-FET methodology follows a mixed-methods approach. Developing a fuzzy inference system (FIS) as a component of the FCS framework enables the processing of uncertain human resources data, such as employee workload and satisfaction. In dealing with unpredictable situations, the fuzzy control framework outperforms more conventional HR models in terms of adaptability. According to simulation data, organizational change can be facilitated through better decision-making and workforce performance. The framework dramatically reduces uncertainty by clarifying expectations and facilitating better alignment between HR strategy and evolving business needs. Organizational change in corporate settings can be better managed with the help of the proposed OHRS-FET, being dynamic and fuzzy.</p>