A spherical fuzzy planar graph approach to optimize wire configuration in transformers

In this modern era, graph theory has become an integral part of science and technology. It has enormous applications in handling various design-based problems. In this study, we present a new approach that increases the ability of graph theory to deal with uncertain challenges. The spherical fuzzy graph addresses the uncertainty domain more broadly, going beyond classical fuzzy graphs other than generalized fuzzy graph types. The concept of the spherical fuzzy planarity value provides a new method to evaluate the edge intersection and order in the graph. The ability of the spherical fuzzy planar graph <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m1"><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="script">S</mml:mi><mml:mi mathvariant="script">F</mml:mi><mml:mi mathvariant="script">P</mml:mi><mml:mi mathvariant="script">G</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math> to model complex relationships can enable more precise and reliable network designs and analyses. In this work, the concepts of spherical fuzzy multigraph <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m2"><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="script">S</mml:mi><mml:mi mathvariant="script">F</mml:mi><mml:mi mathvariant="script">M</mml:mi><mml:mi mathvariant="script">G</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math> , spherical strong and weak edges, and the value of planarity for spherical fuzzy graphs <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m3"><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="script">S</mml:mi><mml:mi mathvariant="script">F</mml:mi><mml:mi mathvariant="script">G</mml:mi><mml:mi>s</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math> are introduced. Moreover, the concept of the degree of planarity within the context of spherical fuzzy planar graphs and the notion of strong and weak faces are introduced. Additionally, we delve into the construction of spherical fuzzy dual graphs, which can be realized in cases where the fuzzy graph is planar or possesses a degree of planarity <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m4"><mml:mrow><mml:mo>≥</mml:mo><mml:mn>0.67</mml:mn></mml:mrow></mml:math> . This notion also serves as the foundation for certain basic theorems. We talk about some significant findings related to this subject. We discuss some major results linked to this topic. To show the worth and importance of our work, we also provide a real-world application.

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Publication Details

Journal
Frontiers in Physics
Published
2025-03-19
DOI
https://doi.org/10.3389/fphy.2025.1413813
Primary Topic
Optimization and Packing Problems
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article
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article

A spherical fuzzy planar graph approach to optimize wire configuration in transformers

Aysha Khan, Saira Hameed, Jana Shafi, Hao Guan et al.
Frontiers in Physics
Optimization and Packing Problems
article

A spherical fuzzy planar graph approach to optimize wire configuration in transformers

Aysha Khan, Saira Hameed, Jana Shafi, Hao Guan, Sadaf
article en

Abstract

In this modern era, graph theory has become an integral part of science and technology. It has enormous applications in handling various design-based problems. In this study, we present a new approach that increases the ability of graph theory to deal with uncertain challenges. The spherical fuzzy graph addresses the uncertainty domain more broadly, going beyond classical fuzzy graphs other than generalized fuzzy graph types. The concept of the spherical fuzzy planarity value provides a new method to evaluate the edge intersection and order in the graph. The ability of the spherical fuzzy planar graph <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m1"><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="script">S</mml:mi><mml:mi mathvariant="script">F</mml:mi><mml:mi mathvariant="script">P</mml:mi><mml:mi mathvariant="script">G</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math> to model complex relationships can enable more precise and reliable network designs and analyses. In this work, the concepts of spherical fuzzy multigraph <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m2"><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="script">S</mml:mi><mml:mi mathvariant="script">F</mml:mi><mml:mi mathvariant="script">M</mml:mi><mml:mi mathvariant="script">G</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math> , spherical strong and weak edges, and the value of planarity for spherical fuzzy graphs <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m3"><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="script">S</mml:mi><mml:mi mathvariant="script">F</mml:mi><mml:mi mathvariant="script">G</mml:mi><mml:mi>s</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math> are introduced. Moreover, the concept of the degree of planarity within the context of spherical fuzzy planar graphs and the notion of strong and weak faces are introduced. Additionally, we delve into the construction of spherical fuzzy dual graphs, which can be realized in cases where the fuzzy graph is planar or possesses a degree of planarity <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m4"><mml:mrow><mml:mo>≥</mml:mo><mml:mn>0.67</mml:mn></mml:mrow></mml:math> . This notion also serves as the foundation for certain basic theorems. We talk about some significant findings related to this subject. We discuss some major results linked to this topic. To show the worth and importance of our work, we also provide a real-world application.

Frontiers in PhysicsVol. 13
Prince Sattam Bin Abdulaziz University (SA), University of the Punjab (PK), Guangzhou University (CN), University of Technology and Applied Sciences - Al Mussanah (OM), Qiannan Normal College For Nationalities (CN)
Openalex Percentile: Top 94%
Optimization and Packing Problems
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