Applied Research Advances

2026: Online first section
Articles

Enhancing Decision-Making in Banking Systems: A Picture Fuzzy Rough Decision-Making Approach with Schweizer-Sklar Prioritized Aggregation Operators

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  • Mehwish Sarfraz,
  • Tahira Karamat
Mehwish Sarfraz
Department of Mathematics, Riphah International University Lahore, (Lahore Campus) 5400, Lahore, Pakistan
Tahira Karamat
Department of Mathematics, Riphah International University Lahore, (Lahore Campus) 5400, Lahore, Pakistan

Published 2026-05-10

Keywords

  • Fuzzy Research Model,
  • Financial Applications,
  • Banking Systems,
  • Picture Fuzzy Rough Sets,
  • Schweizer-Sklar Information Fusion,
  • Prioritized Aggregation
    • ...More
    Less

Copyright (c) 2026 Mehwish Sarfraz, Tahira Karamat (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Sarfraz, M., & Karamat, T. (2026). Enhancing Decision-Making in Banking Systems: A Picture Fuzzy Rough Decision-Making Approach with Schweizer-Sklar Prioritized Aggregation Operators. Applied Research Advances, 1-12. https://doi.org/10.65069/ara31202615
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Abstract

Decision-making in the banking industry frequently requires navigating ambiguity and imprecise information. Choices are frequently made in ambiguous and imprecise circumstances. This research aims to offer a more advanced method for dealing with these kinds of uncertainties. The paper investigates the use of picture fuzzy rough sets (PFRSs) in conjunction with the Schweizer-Sklar t-norm and t-conorm, which provide an organized method for managing data ambiguity and can improve the banking decision-making process. The Schweizer-Sklar framework is used to introduce new prioritized aggregation operators that are specially designed for managing uncertainty with PFRSs. Important properties, like idempotency, monotonicity, and boundedness, for the derived aggregation operators are proved. With an emphasis on tasks like loan evaluation and credit scoring, the suggested operators are applied in the banking industry. This illustrates their capacity to control uncertainty and produce trustworthy decision results. The PFRSS-based approach's efficacy and resilience are validated by comparison with current methodologies, which makes it a useful instrument for intricate decision-making in the banking industry.

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