Applied Research Advances

Vol. 2 No. 1 (2026): Applied Research Advances
Articles

A Pythagorean Fuzzy Multiple-Attribute Decision-Making Model for Smart Governance Research Applications

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

Published 2026-05-10

Keywords

  • Applied Fuzzy Research,
  • Smart Governance,
  • Pythagorean Fuzzy Sets,
  • Prioritized Aggregation Operator Advances,
  • Decision-Making Research Methods

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

Creative Commons License

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

How to Cite

Karamat, T., & Sarfraz, M. (2026). A Pythagorean Fuzzy Multiple-Attribute Decision-Making Model for Smart Governance Research Applications. Applied Research Advances, 2(1), 141-161. https://doi.org/10.65069/ara2120266
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Abstract

This applied research examines multiple-attribute decision-making issues that involve Pythagorean fuzzy (PyF) information. An advanced method for multiple-attribute decision-making, which employs arithmetic and geometric operations to create aggregation operators on Pythagorean fuzzy sets, is introduced. More detailed, Pythagorean prioritized fuzzy power Aczel-Alsina geometric and Pythagorean prioritized fuzzy power Aczel-Alsina averaging operators are proposed. Several associated properties of the novel prioritized aggregation operators are addressed. A multiple-attribute decision-making model is constructed based on the proposed prioritized aggregation operators. A numerical study demonstrates smart governance research applications of the developed aggregation operators. Finally, the significant advances of the developed prioritized aggregation operators are confirmed through comparison analyses.

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