In today's complex world, soft threats, particularly in the economic sphere, have become strategic tools for exerting pressure and destabilizing nations. In this context, economic resilience, defined as the ability of national systems to maintain stability, adaptability, and recovery in the face of pressures, sanctions, and crises, has gained vital importance. This research aims to design and present a novel model for measuring Iran's economic resilience. Initially, by reviewing theoretical foundations and research background, the key dimensions and indicators of economic resilience were identified and categorized. Subsequently, using standardization, alignment, and weighting methods, these indicators were integrated into a comprehensive index. Furthermore, an innovative model based on a Dynamic Adaptive Sigmoid function was employed to represent sensitivity boundaries and dynamic economic thresholds, while enabling the analysis of adaptive behavior and various scenarios. The findings indicate that the proposed model offers higher flexibility and precision in representing the actual state of Iran's economy compared to conventional methods such as weighted aggregation. The results of this innovative approach enable policymakers to make more accurate, rapid, and evidence-based decisions when facing sanctions and soft threats. The primary innovation of this study is the design of a localized and dynamic framework for measuring Iran's economic resilience, which, in addition to enriching the existing literature, is generalizable to other countries. The results of this study can serve as a scientific basis for strengthening the country's economic structure, enhancing national security, and increasing bargaining power in the international arena.