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A Novel SIR Approach to Closeness Coefficient-Based MAGDM Problems Using Pythagorean Fuzzy Aczel–Alsina Aggregation Operators for Investment Policy

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  • Iftikhar Ul Haq
  • Tanzeela Shaheen
  • Wajid Ali
  • Tapan Senapati
  • Youssef N. Raffoul

Abstract

In this study, a novel Pythagorean fuzzy aggregation operator is presented by combining the concepts of Aczel–Alsina (AA) T-norm and T-conorm operations for multiple attribute group decision-making (MAGDM) challenge for the superiority and inferiority ranking (SIR) approach. This approach has many advantages in solving real-life problems. In this study, the superiority and inferiority ranking method is illustrated and showed the effectiveness for decision makers by using multicriteria. The Aczel–Alsina aggregation operators on interval-valued IFSs, hesitant fuzzy sets (HFSs), Pythagorean fuzzy sets (PFSs), and T-spherical fuzzy sets (TSFSs) for multiple attribute decision-making (MADM) issues have been proposed in the literature. In addition, we propose a Pythagorean fuzzy Aczel–Alsina weighted average closeness coefficient (PF−AA−WA−CC) aggregation operator on the basis of the closeness coefficient for MAGDM challenges. To highlight the relevancy and authenticity of this approach and measure its validity, we conducted a comparative analysis with the method already in vogue.

Suggested Citation

  • Iftikhar Ul Haq & Tanzeela Shaheen & Wajid Ali & Tapan Senapati & Youssef N. Raffoul, 2022. "A Novel SIR Approach to Closeness Coefficient-Based MAGDM Problems Using Pythagorean Fuzzy Aczel–Alsina Aggregation Operators for Investment Policy," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-12, December.
    • Handle: RePEc:hin:jnddns:5172679
    DOI: 10.1155/2022/5172679
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