<p>The mining industry faces a critical challenge in balancing economic growth with environmental and social responsibility. To address this, we have developed an innovative framework for assessing the sustainability of mining areas using five integrated multi-criteria decision-making (MCDM) methods: entropy weight TOPSIS, fuzzy comprehensive evaluation, grey relational analysis, cloud model, and Pythagorean Fuzzy Set TOPSIS (PFS-TOPSIS). By combining these MCDM methods, the Mining Area Sustainability Index (MASI) framework enables a comprehensive analysis of mining area performance. The framework was applied to four diverse mining sites—Qibaoshan and Dexing in China, Dartford in the UK, and Sungai Lembing in Malaysia—using nine indicators across environmental, social, and economic dimensions. The findings reveal strengths and areas for improvement at each site, demonstrating the framework's potential to guide decision-making and drive positive change. To further enhance the MASI framework, we recommend integrating real-time monitoring technologies, extending applicability to other industries and regions, and increasing standardization of data sources and automation of analysis. The study also provides actionable recommendations for policymakers and industry leaders, emphasizing biodiversity conservation, community engagement, and circular economy waste management principles. By bridging theoretical innovation with practical insights, this work lays a foundation for future research and highlights the potential of integrated MCDM frameworks to promote sustainable industrial practices globally. As industries navigate the complexities of sustainable development, the MASI framework offers a valuable tool to inform strategy and decision-making. </p>