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AIMS Mathematics

2024, Volume 9, Issue 10: 28273-28294. doi: 10.3934/math.20241371
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Research article

Decision methods based on Bonferroni mean operators and EDAS for the classifications of circular pythagorean fuzzy Meta-analysis

  • 1.
    Big Data School, Qingdao Huanghai University, Qingdao 266555, Shandong, China
  • 2.
    Department of Information Management, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan
  • 3.
    Department of Mathematics and Statistics, Riphah International University Islamabad, 44000, Pakistan
  • 4.
    School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan Shandong 250014, China
  • Received: 20 August 2024 Revised: 24 September 2024 Accepted: 26 September 2024 Published: 29 September 2024

  • MSC : 03B52, 03E72, 03E73, 28E10, 94D05

  • Meta-analysis is a statistical technique used to process an overall summary estimation, and the technique of meta-analysis is mostly used in medicine, social science, and psychology. In this manuscript, we aimed to combine the techniques of the Bonferroni mean (BM) operator based on circular Pythagorean fuzzy (CPF) sets, called the CPF Bonferroni mean (CPFBM) operator, and CPF weighted Bonferroni mean (CPFWBM) operator and described their special cases with the help of two parameters, "s" and "t", and some describable properties of them are also proposed. Further, we present the evaluation technique based on distance from average solution (EDAS) technique and the proposed operators. Moreover, we use some examples to show the flexibility and dominance of the proposed operators by comparing the proposed methods with some existing techniques.

    Citation: Weiwei Jiang, Zeeshan Ali, Muhammad Waqas, Peide Liu. Decision methods based on Bonferroni mean operators and EDAS for the classifications of circular pythagorean fuzzy Meta-analysis[J]. AIMS Mathematics, 2024, 9(10): 28273-28294. doi: 10.3934/math.20241371

    Related Papers:

  • Meta-analysis is a statistical technique used to process an overall summary estimation, and the technique of meta-analysis is mostly used in medicine, social science, and psychology. In this manuscript, we aimed to combine the techniques of the Bonferroni mean (BM) operator based on circular Pythagorean fuzzy (CPF) sets, called the CPF Bonferroni mean (CPFBM) operator, and CPF weighted Bonferroni mean (CPFWBM) operator and described their special cases with the help of two parameters, "s" and "t", and some describable properties of them are also proposed. Further, we present the evaluation technique based on distance from average solution (EDAS) technique and the proposed operators. Moreover, we use some examples to show the flexibility and dominance of the proposed operators by comparing the proposed methods with some existing techniques.



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  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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