Novel Approach to Evaluating Solar Panel Performance Using Intuitionistic Fuzzy Sets and Choquet Integral Operators

Thursday 23 January 2025


The quest for sustainable energy has led researchers to explore innovative methods for selecting optimal solar panels. In a recent study, scientists have proposed a novel approach that integrates circular intuitionistic fuzzy sets (CIFS) and Choquet integral operators to evaluate the performance of solar panels.


The traditional weighted sum method is often used in multi-criteria decision-making problems, but it has limitations when dealing with complex decision scenarios. CIFS, on the other hand, provides a more nuanced framework for modeling uncertainty by incorporating both membership and non-membership degrees. The Choquet integral operator, which is based on fuzzy measures, offers an effective way to aggregate these fuzzy values.


The proposed method, called D-IF CASPAS (Disc Intuitionistic Fuzzy Circular Aggregation of Scores with Pythagorean Fuzzy), combines the strengths of CIFS and Choquet integral operators. It involves three main steps: aggregation of scores using a Pythagorean fuzzy aggregation operator, calculation of significance degrees, and ranking of solar panels based on their overall performance.


In the study, the researchers applied D-IF CASPAS to a real-world problem involving the selection of optimal solar panels for a specific application. The results showed that the proposed method outperformed traditional weighted sum methods in terms of accuracy and robustness.


The significance of this research lies in its potential to improve decision-making processes in various fields, including renewable energy, healthcare, and transportation. By incorporating CIFS and Choquet integral operators, D-IF CASPAS provides a more comprehensive framework for evaluating complex systems and making informed decisions.


In addition to its theoretical contributions, the study highlights the importance of considering interdependencies between criteria when selecting optimal solar panels. The proposed method can be extended to other applications where multiple factors need to be evaluated simultaneously.


The researchers’ approach has far-reaching implications for the development of sustainable energy solutions. By leveraging the strengths of CIFS and Choquet integral operators, D-IF CASPAS offers a promising tool for optimizing energy systems and promoting environmental sustainability.


Cite this article: “Novel Approach to Evaluating Solar Panel Performance Using Intuitionistic Fuzzy Sets and Choquet Integral Operators”, The Science Archive, 2025.


Solar Panels, Renewable Energy, Fuzzy Sets, Intuitionistic Fuzzy Sets, Choquet Integral Operators, Decision-Making, Multi-Criteria Analysis, Sustainable Energy, Pythagorean Fuzzy Aggregation, Circular Intuitionistic Fuzzy Sets


Reference: Mahmut Can Bozyiğit, Mehmet Ünver, “Solar Panel Selection using Extended WASPAS with Disc Intuitionistic Fuzzy Choquet Integral Operators: CASPAS Methodology” (2025).


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