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<p>This paper presents a novel combined decision approach for the rational selection of solar panels (SPs) to facilitate investment in line with Sustainable Development Goal (SDG) 7. SPs are crucial in solar energy harvesting, and earlier studies on SP selection suggest that uncertainty is not adequately modelled. The interrelationships between criteria and the importance of experts are essential, but personalized grading of SPs is lacking. Driven by this claim, this work develops a decision approach using the variance method, the CRITIC method, and a simple rank procedure with the Copeland strategy for determining expert and criterion weights and grading SPs in both personalized and combined fashion, respectively, with hyperbolic fuzzy data. A case example of SP selection reveals the usefulness of the approach. Results infer that monocrystalline silicon SP is highly preferred with a potential focus on material availability, cost, efficiency, and eco-impact. Additionally, the framework is robust to weight alterations, and the developed framework supports policymakers in their action plans, promoting the adoption of sustainable energy.</p>

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Solar panel prioritization with a combined multi-criteria approach including hyperbolic fuzzy set

  • 期刊论文

  • 发表日期：

    2025年9月8日

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  • Raghunathan Krishankumar,
  • Alessio Ishizaka

摘要

This paper presents a novel combined decision approach for the rational selection of solar panels (SPs) to facilitate investment in line with Sustainable Development Goal (SDG) 7. SPs are crucial in solar energy harvesting, and earlier studies on SP selection suggest that uncertainty is not adequately modelled. The interrelationships between criteria and the importance of experts are essential, but personalized grading of SPs is lacking. Driven by this claim, this work develops a decision approach using the variance method, the CRITIC method, and a simple rank procedure with the Copeland strategy for determining expert and criterion weights and grading SPs in both personalized and combined fashion, respectively, with hyperbolic fuzzy data. A case example of SP selection reveals the usefulness of the approach. Results infer that monocrystalline silicon SP is highly preferred with a potential focus on material availability, cost, efficiency, and eco-impact. Additionally, the framework is robust to weight alterations, and the developed framework supports policymakers in their action plans, promoting the adoption of sustainable energy.