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q-Rung Orthopair Fuzzy Supra Topological Applications in Data Mining Process

In: q-Rung Orthopair Fuzzy Sets

Author

Listed:
  • Mani Parimala

    (Bannari Amman Institute of Technology, Department of Mathematics)

  • Cenap Ozel

    (King Abdulaziz University, Department of Mathematics)

  • M. A. Al Shumrani

    (King Abdulaziz University, Department of Mathematics)

  • Aynur Keskin Kaymakci

    (Selcuk University, Department of Mathematics, Faculty of Sciences)

Abstract

The idea of q-rung orthopair fuzzy sets is an extension of intuitionistic and Pythagorean fuzzy sets. The main goal of this manuscript is to present the notion of q-rung orthopair fuzzy supra topological spaces (q-rofsts), a hybrid form of intuitionistic fuzzy supra topological spaces and Pythagorean fuzzy supra topological spaces. In addition, several contradictory examples and their assertions in fuzzy supra topological spaces of Abd El-Monsef and Ramadan (Indian J Pure Appl Math 18(4):322–329, 1987, [9]) are produced using q-rung orthopair fuzzy mappings. Finally, a new multiple attribute decision-making technique based on the q-rung orthopair fuzzy scoring function is suggested as an application to tackle medical diagnosis issues.

Suggested Citation

  • Mani Parimala & Cenap Ozel & M. A. Al Shumrani & Aynur Keskin Kaymakci, 2022. "q-Rung Orthopair Fuzzy Supra Topological Applications in Data Mining Process," Springer Books, in: Harish Garg (ed.), q-Rung Orthopair Fuzzy Sets, chapter 0, pages 1-15, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-1449-2_1
    DOI: 10.1007/978-981-19-1449-2_1
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