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Mathematical Biosciences and Engineering

2022, Volume 19, Issue 1: 1078-1107. doi: 10.3934/mbe.2022050
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Complex pythagorean fuzzy aggregation operators based on confidence levels and their applications

  • 1.
    Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan
  • 2.
    Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Riphah International University Lahore, Lahore 54000, Pakistan
  • 3.
    Department of Pure and Applied Mathematics, University of Haripur, Haripur, Khyber Pakhtunkhwa 22620, Pakistan
  • 4.
    Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
  • 5.
    Computer Science Department, Faculty of Applied Sciences, Taiz University, Taiz 6803, Yemen
  • 6.
    Information and Communication Engineering Technology, School of Engineering Technology and Applied Science, Centennial College, Toronto, Canada

  • Academic Editor: Massimiliano Ferrara
  • Received: 16 October 2021 Accepted: 17 November 2021 Published: 29 November 2021

  • The most important influence of this assessment is to analyze some new operational laws based on confidential levels (CLs) for complex Pythagorean fuzzy (CPF) settings. Moreover, to demonstrate the closeness between finite numbers of alternatives, the conception of confidence CPF weighted averaging (CCPFWA), confidence CPF ordered weighted averaging (CCPFOWA), confidence CPF weighted geometric (CCPFWG), and confidence CPF ordered weighted geometric (CCPFOWG) operators are invented. Several significant features of the invented works are also diagnosed. Moreover, to investigate the beneficial optimal from a large number of alternatives, a multi-attribute decision-making (MADM) analysis is analyzed based on CPF data. A lot of examples are demonstrated based on invented works to evaluate the supremacy and ability of the initiated works. For massive convenience, the sensitivity analysis and merits of the identified works are also explored with the help of comparative analysis and they're graphical shown.

    Citation: Tahir Mahmood, Zeeshan Ali, Kifayat Ullah, Qaisar Khan, Hussain AlSalman, Abdu Gumaei, Sk. Md. Mizanur Rahman. Complex pythagorean fuzzy aggregation operators based on confidence levels and their applications[J]. Mathematical Biosciences and Engineering, 2022, 19(1): 1078-1107. doi: 10.3934/mbe.2022050

    Related Papers:

  • The most important influence of this assessment is to analyze some new operational laws based on confidential levels (CLs) for complex Pythagorean fuzzy (CPF) settings. Moreover, to demonstrate the closeness between finite numbers of alternatives, the conception of confidence CPF weighted averaging (CCPFWA), confidence CPF ordered weighted averaging (CCPFOWA), confidence CPF weighted geometric (CCPFWG), and confidence CPF ordered weighted geometric (CCPFOWG) operators are invented. Several significant features of the invented works are also diagnosed. Moreover, to investigate the beneficial optimal from a large number of alternatives, a multi-attribute decision-making (MADM) analysis is analyzed based on CPF data. A lot of examples are demonstrated based on invented works to evaluate the supremacy and ability of the initiated works. For massive convenience, the sensitivity analysis and merits of the identified works are also explored with the help of comparative analysis and they're graphical shown.


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