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dc.contributor.authorSivaranjani Krishnaraj
dc.contributor.authorO.V. Shanmuga Sundaram
dc.contributor.authorPrasantha Bharathi Dhandapani
dc.contributor.authorTaha Radwan
dc.contributor.otherDepartment of Mathematics, Sri Eshwar College of Engineering, Coimbatore 641202, Tamil Nadu, India
dc.contributor.otherDepartment of Mathematics, Sree Saraswathi Thyagaraja College, Pollachi, Coimbatore 642107, Tamil Nadu, India
dc.contributor.otherDepartment of Mathematics, Sri Eshwar College of Engineering, Coimbatore 641202, Tamil Nadu, India
dc.contributor.otherDepartment of Management Information Systems, College of Business and Economics, Qassim University, Buraydah 51452, Saudi Arabia
dc.date.accessioned2025-08-27T02:32:33Z
dc.date.accessioned2025-10-08T08:07:12Z
dc.date.available2025-10-08T08:07:12Z
dc.date.issued2025-07
dc.identifier.urihttps://www.aimspress.com/article/doi/10.3934/math.2025758
dc.identifier.urihttp://digilib.fisipol.ugm.ac.id/repo/handle/15717717/35631
dc.description.abstractBipolar fuzzy sets (BPFs) provide a suitable framework for knowledge representation if some data contains imprecise and ambiguous information. In this manuscript, the lower and upper bounds of the Seidel Laplacian energy of a bipolar fuzzy graph were examined with suitable illustrative examples. Moreover, the energy of a bipolar fuzzy graph, the Laplacian energy of a bipolar fuzzy graph, and the Seidel Laplacian energy of a bipolar fuzzy graph were examined. Furthermore, to address complex multi-criteria decision-making (MCDM) problems involving uncertainty and bipolar information, we proposed novel score functions: The score function, improved score function, and double improved score function. These functions were demonstrated through examples to effectively handle ambiguity and duality in decision-makers' inputs represented via bipolar fuzzy sets.
dc.language.isoEN
dc.publisherAIMS Press
dc.subject.lccMathematics
dc.titleSeidel Laplacian energy of bipolar fuzzy graphs and enhanced score functions for decision-making applications
dc.typeArticle
dc.description.keywordsbipolar fuzzy graph
dc.description.keywordsfuzzy logic
dc.description.keywordsenergy of a graph
dc.description.keywordsseidel laplacian energy
dc.description.keywordssymmetry
dc.description.keywordscomputational analysis
dc.description.keywordsdecision making
dc.description.pages16865-16888
dc.description.doi10.3934/math.2025758
dc.title.journalAIMS Mathematics
dc.identifier.e-issn2473-6988
dc.identifier.oai5740a72ab9224e49a00e82aeaa5a82d7
dc.journal.infoVolume 10, Issue 7


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