A Fuzzy Decision Framework for the Energy Security Policy Selection
Keywords:
Strategic Policy Prioritization, Energy Policy Research, Decision Support Framework, Ranking Based on the Distances and Range, Weights by Envelope and Slope, Spherical Cubic Fuzzy SetsAbstract
Energy security policy is a strategic governmental approach aimed at ensuring reliable, affordable, and sustainable energy access by reducing geopolitical risks, minimizing foreign dependency, and promoting diversification in energy sources and infrastructure. The main motivation is to design a decision support system tailored for energy security policy selection. The paper proposes a robust and consistent hybrid method based on multi-criteria decision-making enhanced by fuzzy sets and complex computational models. Specifically, the Aczel-Alsina-spherical cubic fuzzy (SCF)-weights by envelope and slope (WENSLO)-ranking based on the distances and range (RADAR) hybrid method is introduced as a novel approach for selecting energy security policies. Policy selection criteria are weighted using the Aczel-Alsina-SCF-WENSLO method. The ranking of alternative energy security policies is conducted using the Aczel-Alsina-SCF-RADAR method. The proposed method is implemented in a real-world case study focusing on Germany, within the context of the Ukraine-Russia conflict. The policy titled Energy diplomacy based on the interests of Germany is identified as the most suitable, while strategic energy diversification emerges as the most critical criterion. The study presents methodological and practical findings, along with implications for methodology, practice, German policy, and global energy security strategy.
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Copyright (c) 2026 Galip Cihan Yalçın, Karahan Kara, Ahmet Görgen, Vladimir Simic, Dragan Pamucar (Author)
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