A Computational Case Study on Sustainable Energy Transition in the Kingdom of Saudi Arabia

With the increasing urgency for sustainable development and energy transition, decision-makers face complex challenges in evaluating prioritizing viable alternatives. Traditional decision-making techniques often struggle to capture inherent uncertainty imprecision associated with latest transition issues. This paper presents a research framework based on fuzzy set theory technique order of preference by similarity ideal solution (TOPSIS) method address these complexities uncertainties. Our proposed approach offers comprehensive evaluation ranking alternatives transition. To demonstrate effectiveness applicability this system, we employ case study Kingdom Saudi Arabia (KSA). As global leader fossil fuel production export, particularly oil, KSA has recognized need climate change diversify its sector. By leveraging TOPSIS-based framework, provide powerful tool navigate uncertainties involved process. yields promising results, demonstrating superior capabilities compared traditional techniques. The highlights how our effectively captures addresses decision making. Through evaluations rankings, gain valuable insights into alternative solutions, facilitating informed strategic processes. contributes transitions introducing robust that integrates TOPSIS method. Based evaluation, findings indicate solar (EA1) ranked as most favourable among evaluated options KSA. Using stakeholders similar contexts can make decisions accelerate their efforts achieve goals.