The sheer, and rapid increase in electronic consumption has further added to the worldwide problem of managing e-waste, and, specifically, in developing economies, the absence of data consistency, incomplete reporting and unstable regulations create challenges in solving the problem. This paper presents a powerful decision-making model that incorporates the Interval-Valued Intuitionistic Fuzzy Sets (IVIFS) and Multi-Criteria Decision-Making (MCDM) tools in assessing sustainable e-waste management policies in the presence of uncertainty. The hybrid approach was used: the Step-Wise Weight Assessment Ratio Analysis (SWARA) was used to identify the significance of twenty SWOT-based criteria, and the ranking of six alternative strategies was done using the WASPAS, TOPSIS, and COPRAS. Hesitancy and ambiguity of human judgment were modeled as expert judgments predicted by IVIFS. Findings in all three MCDM solutions have always considered the Strengthening Policies & Regulatory Compliance (S1) and Establishing Circular Economy and Financial Incentives as the most efficient strategies (S3): the importance of enforcing regulations and integrating the circular economy. Stability of these rankings was ensured by sensitivity analysis to vary parameters and the framework was established to be robust. The combination of SWOT analysis and fuzzy-based MCDM and multi-method validation will fill a significant gap in the e-waste research. The results emphasize the value of policy-technology interactions and offer viable ideas on how to develop sustainable e-waste management, and further uses can be provided to real-time information, a wider input of experts, and internationalization.