<p>The rapid evolution of wireless communication technologies has led to the development of the fifth-generation (5G) network, which promises to deliver higher data rates, lower latency, and enhanced user experiences. In 5G networks, heterogeneous network (HetNet) architectures play a critical role in meeting the diverse requirements of different applications and services. In both classical and fuzzy set theories for data fusion, the role of aggregation operators is vital in merging different inputs to produce a cohesive output. The emergence of the Complex Picture Fuzzy model has broadened existing frameworks by providing a more accurate way to describe judgmental uncertainties in humans. We thoroughly investigate aggregation operators based on Yager t-norm (TN) and s-norm (SN), focusing on complex picture fuzzy sets (CPFSs). Our investigation covers the following operators: the complex picture fuzzy Yager weighted averaging operator, the complex picture fuzzy Yager ordered weighted averaging operator, the complex picture fuzzy Yager weighted geometric operator, and the complex picture fuzzy Yager ordered weighted geometric operator. We thoroughly examine and enumerate these revolutionary operators' essential traits. We also advance multi-criteria decision-making procedures by developing an algorithm specifically designed for the Complex Picture Fuzzy environment. We offer a thorough numerical instance that entails choosing the best option from a present set of alternatives to show the pragmatic significance of these newly introduced operators inside decision-making scenarios. A thorough validation approach is used to assess the potency of the suggested operators. Through these projects, we highlighted how complex picture fuzzy Yager aggregation operators might significantly improve decision-making procedures, enabling a more precise and nuanced treatment of multi-criteria assessments.</p>