Over the past two decades, laser welding of metal-polymer structures has increased demand for high-strength, lightweight metal-polymer structures to provide high reliability and cost-effective solutions. The right choice of materials and the laser source, including its characteristics, have significantly impacted the weld quality and their applicability in different industries like automobile, aerospace, shipbuilding, etc. Choosing a right quality material and specifying the process parameters are crucial for obtaining desirable welding quality and improved performance. Complex multi-criteria decision-making (MCDM) is addressed in this study by implementing a mixed aggregation by comprehensive normalization technique (MACONT). The present study assesses the viability of employing the MACONT method to optimize solid-state laser welding of different stainless steel and polymer classes by considering two input parameters and one output variable. By concurrently integrating multiple normalization techniques and mixed aggregation approaches, deviations of evaluation values are reduced, and the reliability of the final decision result is enhanced. The results indicate that when comparing polymethyl methacrylate (PMMA), acrylonitrile butadiene styrene (ABS), and polyamide 6 (PA6) polymers joining with various grades of stainless steels, the laser welding of PMMA/AISI 304 structures using Nd: YAG and diode lasers have achieved the highest ranking.