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A Study on Optimizing the Maximal Product in Cubic Fuzzy Graphs for Multifaceted Applications

Author

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  • Annamalai Meenakshi

    (Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, India)

  • Obel Mythreyi

    (Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, India)

  • Robert Čep

    (Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic)

  • Krishnasamy Karthik

    (Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, India)

Abstract

Graphs in the field of science and technology make considerable use of theoretical concepts. When dealing with numerous links and circumstances in which there are varying degrees of ambiguity or robustness in the connections between aspects, rather than purely binary interactions, cubic fuzzy graphs ( C F G s ) are more adaptable and compatible than fuzzy graphs. To better represent the complexity of interactions or linkages in the real world, an emerging C F G can be very helpful in achieving better problem-solving abilities that specialize in domains like network analysis, the social sciences, information retrieval, and decision support systems. This idea can be used for a variety of uncertainty-related issues and assist decision-makers in selecting the best course of action through the use of a C F G . Enhancing the maximized network of three cubic fuzzy graphs’ decision-making efficiency was the ultimate objective of this study. We introduced the maximal product of three cubic fuzzy graphs to investigate how interval-valued fuzzy membership, fuzzy membership, and the miscellany of relations are all simultaneously supported through the aspect of degree and total degree of a vertex. Furthermore, the domination on the maximal product of three C F G s was illustrated to analyze the minimum domination number of the weighted C F G , and the proposed approach is illustrated with applications.

Suggested Citation

  • Annamalai Meenakshi & Obel Mythreyi & Robert Čep & Krishnasamy Karthik, 2024. "A Study on Optimizing the Maximal Product in Cubic Fuzzy Graphs for Multifaceted Applications," Mathematics, MDPI, vol. 12(10), pages 1-16, May.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1605-:d:1398272
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    References listed on IDEAS

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    1. Zheng Kou & Maryam Akhoundi & Xiang Chen & Saber Omidi & Meraj Ali Khan, 2022. "A Study on Vague Graph Structures with an Application," Advances in Mathematical Physics, Hindawi, vol. 2022, pages 1-14, March.
    2. Zehui Shao & Saeed Kosari & Hossein Rashmanlou & Muhammad Shoaib, 2020. "New Concepts in Intuitionistic Fuzzy Graph with Application in Water Supplier Systems," Mathematics, MDPI, vol. 8(8), pages 1-17, July.
    3. Zheng Kou & Saeed Kosari & Maryam Akhoundi & Lazim Abdullah, 2021. "A Novel Description on Vague Graph with Application in Transportation Systems," Journal of Mathematics, Hindawi, vol. 2021, pages 1-11, December.
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