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A Modern Strategy for the Selection of Efficacious Solar Panels at Industrial Level under an Interval-Valued Picture Fuzzy Set Hybrid Environment

Author

Listed:
  • Asima Razzaque

    (Department of Basic Sciences, Deanship of Preparatory Year, King Faisal University Al Ahsa, Al Hofuf 31982, Saudi Arabia)

  • Ibtisam Masmali

    (Department of Mathematics, College of Science, Jazan University, Jazan 45142, Saudi Arabia)

  • Rimsha Hassan

    (Department of Mathematics, Government College University, Faisalabad 38000, Pakistan)

  • Umer Shuaib

    (Department of Mathematics, Government College University, Faisalabad 38000, Pakistan)

  • Abdul Razaq

    (Department of Mathematics, Division of Science and Technology, University of Education, Lahore 54770, Pakistan)

  • Ghaliah Alhamzi

    (Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia)

  • Saima Noor

    (Department of Basic Sciences, Deanship of Preparatory Year, King Faisal University Al Ahsa, Al Hofuf 31982, Saudi Arabia)

Abstract

Solar panels hold a significant amount of importance at an industrial level because they contribute to environmental sustainability by reducing carbon emissions, contribute to cost savings through reduced electricity bills, provide energy independence and reliability, and serve as a long-term investment with attractive returns. One of the objectives of this research article is to address the limitations of the current score function utilized in multi-criteria decision-making (MCDM) problems within an interval-valued picture fuzzy (IVPF) environment and to present an enhanced score function. Moreover, IVPF hybrid arithmetic operators and IVPF hybrid geometric operators are introduced in this article. These operators are further thoroughly examined to identify their key characteristics. By conducting a case study, an algorithm is formulated to select the most suitable solar panel to maximize energy availability at the industrial level in the framework of the newly proposed IVPF hybrid operators. In addition, a comprehensive comparative study is conducted to demonstrate the significance and validity of recently proposed novel techniques compared with existing methods.

Suggested Citation

  • Asima Razzaque & Ibtisam Masmali & Rimsha Hassan & Umer Shuaib & Abdul Razaq & Ghaliah Alhamzi & Saima Noor, 2023. "A Modern Strategy for the Selection of Efficacious Solar Panels at Industrial Level under an Interval-Valued Picture Fuzzy Set Hybrid Environment," Energies, MDPI, vol. 16(14), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5338-:d:1192648
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    References listed on IDEAS

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    1. Guiwu Wei, 2018. "Uncertain Hamacher Aggregation Operators and Their Application to Multiple Attribute Decision Making," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 10(2), pages 40-64, April.
    2. Liangping Wu & Guiwu Wei & Jiang Wu & Cun Wei, 2020. "Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas," IJERPH, MDPI, vol. 17(3), pages 1-31, January.
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    Cited by:

    1. Ateekh Ur Rehman, 2023. "Solar Panel Cooling System Evaluation: Visual PROMETHEE Multi-Criteria Decision-Making Approach," Sustainability, MDPI, vol. 15(17), pages 1-25, August.

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