Multi-Criteria Decision Analysis (MCDA) methods are widely applied in decision-making across various fields, including sustainability, social and environmental issues, and energy management. Despite their popularity, many commonly used MCDA methods, such as the Analytical Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and Multi-Attribute Utility Theory (MAUT) show compensatory features. This means that strong performance in some criteria can compensate for weaker performance in others, which contradicts the principles of strong sustainability. In contrast, non-compensatory MCDA methods, such as Preference Ranking Organization METHod for Enrichment of Evaluation (PROMETHEE) and ELimination and Choice Expressing the Reality (ELECTRE), align more closely with the principles of strong sustainability. However, these methods often lack numerical ranking capabilities and can be computationally complex, limiting their broader adoption. This paper addresses this gap by introducing the Strong Sustainability Paradigm based VIKOR (SSP-VIKOR) method, an extension of the traditional VIKOR approach. The SSP-VIKOR method incorporates compensation reduction modeling by adjusting the sustainability coefficient, enabling a more accurate evaluation of sustainability-related decision problems. The effectiveness of SSP-VIKOR is demonstrated through an assessment of the sustainable share of renewable energy sources (RES) in selected European countries. Given the European Union’s commitment to reducing greenhouse gas emissions, improving energy security, and promoting economic development, it is crucial to accurately evaluate the sustainability contributions of RES. The findings highlight the potential of SSP-VIKOR as a practical tool for policymakers and stakeholders seeking to balance the environmental, economic, and social dimensions of sustainability.