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

• Published in: Discrete dynamics in nature and society Vol. 2022; no. 1
• Main Authors: Ul Haq, Iftikhar, Shaheen, Tanzeela, Ali, Wajid, Senapati, Tapan
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2022; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Agglomeration; Coefficients; Decision making; Fuzzy sets; Internet stocks; Investment strategy; Multiple criterion; Norms; Operators; Ranking; Set theory
• ISSN: 1026-0226; 1607-887X
• DOI: 10.1155/2022/5172679

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.