This study addresses a fundamental challenge in contemporary psychology: understanding how people respond to uncertain environments, where emotions, perceptions, and decisions are profoundly influenced by inherent ambiguity. This question takes on crucial relevance in a world marked by social and technological complexity, where the ability to analyze behaviors in uncertain contexts is essential for advancing mental health and interpersonal dynamics. However, the existing literature lacks theoretical frameworks that systematically integrate human indeterminacy, leaving a gap that this work seeks to fill with an innovative approach. To this end, we employ a neutrosophic psychological method, which combines qualitative and quantitative tools to model behavioral variations under conditions of uncertainty, based on data collected from participants exposed to controlled scenarios. The findings reveal distinctive patterns in decision-making, showing that tolerance for ambiguity varies based on factors such as prior experience and perceived stress, providing a novel perspective on psychological resilience. These findings enrich the theoretical field by proposing an adaptive predictive model, while, in practice, they offer strategies for designing therapeutic interventions and training programs that strengthen adaptability in uncertain contexts. Therefore, this work not only expands academic knowledge but also fosters practical applications in applied psychology.