Sustainable decision-making requires balancing environmental, social, and economic objectives while minimizing trade-offs. Traditional Multi-Criteria Decision-Making (MCDM) methods, such as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), often adhere to weak sustainability principles, allowing excessive linear compensation among criteria. To address this limitation, a novel STOPSIS (Sustainable TOPSIS) method is introduced – an enhanced version of TOPSIS that integrates strong sustainability paradigm by incorporating a sustainability coefficient and applying a spike suppression matrix on the input decision matrix. These modifications mitigate linear compensation, ensuring rankings that better reflect ecological and social constraints. The effectiveness of STOPSIS is demonstrated through an empirical study on offshore wind farm selection in the Baltic Sea. The results indicate significant ranking adjustments based on sustainability coefficient variations, reinforcing the method’s robustness. STOPSIS offers a structured approach to sustainable decision-making, making it a valuable tool for applications in renewable energy, urban planning, and resource management.