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<p>Solar energy provides substantial benefits as compared to the fossil fuels as&#xa0;being renewable, reducing greenhouse gas emissions, and providing decentralized power systems. The government of India is implementing several policy measures to increase the production of solar energy with a strategic importance on solar power to fulfil the growing electricity requirements. Choosing a suitable solar panel with longer assurances is an important and critical issue that ensures longevity and reliability. It is a significant concern that requires to be thoroughly analyzed for producing solar power efficiently by means of several key dimensions viz. mechanical, financial, electrical, and customer characteristics. This study aims to develop a hybrid multi-criteria group decision-making framework for addressing the solar panel selection problem, including 5 solar panel options over 12 criteria from 4 aspects. The proposed approach incorporates the Sugeno-Weber-weighted aggregation operators, standard deviation (SD)-based model, rank sum (RS) model, and the alternative ranking order method accounting for two-step normalization (AROMAN) under the context of Fermatean fuzzy sets. To illustrate the effectiveness of introduced approach, it is employed to a case study of solar panel selection problem, followed by sensitivity and comparative analyzes. The results show that the “Monocrystalline PERC solar panel” has the maximum preference among the others in the process of solar panel selection problem. This study provides practical insights for policymakers by offering a systematic technique for evaluating the solar panels based on different criteria and uncertain information.</p>

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Decision-Making-Based Solar Panel Selection: Sugeno-Weber Operators and Fermatean Fuzzy Distance Measure with AROMAN Methodology

  • 期刊论文

  • 发表日期：

    2025年5月19日

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  • Pratibha Rani,
  • Arunodaya Raj Mishra,
  • Dragan Pamucar,
  • Ahmad M. Alshamrani,
  • Adel Fahad Alrasheedi,
  • Vladimir Simic

摘要

Solar energy provides substantial benefits as compared to the fossil fuels as being renewable, reducing greenhouse gas emissions, and providing decentralized power systems. The government of India is implementing several policy measures to increase the production of solar energy with a strategic importance on solar power to fulfil the growing electricity requirements. Choosing a suitable solar panel with longer assurances is an important and critical issue that ensures longevity and reliability. It is a significant concern that requires to be thoroughly analyzed for producing solar power efficiently by means of several key dimensions viz. mechanical, financial, electrical, and customer characteristics. This study aims to develop a hybrid multi-criteria group decision-making framework for addressing the solar panel selection problem, including 5 solar panel options over 12 criteria from 4 aspects. The proposed approach incorporates the Sugeno-Weber-weighted aggregation operators, standard deviation (SD)-based model, rank sum (RS) model, and the alternative ranking order method accounting for two-step normalization (AROMAN) under the context of Fermatean fuzzy sets. To illustrate the effectiveness of introduced approach, it is employed to a case study of solar panel selection problem, followed by sensitivity and comparative analyzes. The results show that the “Monocrystalline PERC solar panel” has the maximum preference among the others in the process of solar panel selection problem. This study provides practical insights for policymakers by offering a systematic technique for evaluating the solar panels based on different criteria and uncertain information.