Akademik Veri Yönetim Sistemi
Energy Strategy Reviews, cilt.64, 2026 (SCI-Expanded, Scopus)
Energy poverty has emerged as a multidimensional challenge encompassing social, economic, and environmental dimensions, requiring decision frameworks capable of handling complexity, uncertainty, and heterogeneous stakeholder judgments. Although the literature offers numerous policy instruments to address energy poverty, there is limited methodological consensus on how such strategies should be systematically prioritized under uncertainty. This study addresses this gap by proposing a novel fractal fuzzy multi-criteria decision-making framework grounded in environmental, social, and governance dimensions. The primary contribution of the study lies in the development and integration of fractal fuzzy sets with an expert weighting system, entropy-based criterion weighting, and MARCOS-based strategy ranking, complemented by ARAS-based robustness analysis. An illustrative case application based on a limited expert panel is employed as a proof-of-concept to demonstrate how the proposed framework operates and translates expert judgments into structured prioritization outcomes. The numerical results are presented to showcase the internal consistency, stability, and interpretability of the method rather than to provide context-independent policy prescriptions. Overall, the proposed framework offers a flexible and transparent methodological tool that can be adapted to different geographical, institutional, and policy contexts for evaluating energy poverty alleviation strategies under uncertainty.