Research article Special Issues

More on complex hesitant fuzzy graphs

  • Received: 08 September 2023 Revised: 25 October 2023 Accepted: 01 November 2023 Published: 09 November 2023
  • MSC : 05C07, 05C76, 94D05

  • Correctly determining a company's market worth during an entire year or a certain period presents a difficulty to decision-makers. In the case of the merger of companies, the need performs heavier when both the companies' owners are attracted to establishing a fair price at the optimal time to merge. The effectiveness of representing, connecting and manipulating both uncertainty and periodicity information becomes highly required. Hence, study and nhance some properties and conditions of the algebraic structure of complex hesitant fuzzy graphs. Therefore, the degree of composition between two complex hesitant fuzzy graphs is proposed. Also, the formal definitions of union, joint and complement are presented to be covered in the realm of complex hesitant fuzzy graphs. A real-life application is illustrated to show the relation between vertices and edges in the form of complex hesitant fuzzy graphs.

    Citation: AbdUlazeez Alkouri, Eman A. AbuHijleh, Ghada Alafifi, Eman Almuhur, Fadi M. A. Al-Zubi. More on complex hesitant fuzzy graphs[J]. AIMS Mathematics, 2023, 8(12): 30429-30444. doi: 10.3934/math.20231554

    Related Papers:

  • Correctly determining a company's market worth during an entire year or a certain period presents a difficulty to decision-makers. In the case of the merger of companies, the need performs heavier when both the companies' owners are attracted to establishing a fair price at the optimal time to merge. The effectiveness of representing, connecting and manipulating both uncertainty and periodicity information becomes highly required. Hence, study and nhance some properties and conditions of the algebraic structure of complex hesitant fuzzy graphs. Therefore, the degree of composition between two complex hesitant fuzzy graphs is proposed. Also, the formal definitions of union, joint and complement are presented to be covered in the realm of complex hesitant fuzzy graphs. A real-life application is illustrated to show the relation between vertices and edges in the form of complex hesitant fuzzy graphs.



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