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Optimizing physical education strategies through circular intuitionistic Fuzzy Bonferroni based school policy formulation

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Title: Optimizing physical education strategies through circular intuitionistic Fuzzy Bonferroni based school policy formulation
Authors: Fei Ren, Chao Ren
Source: Scientific Reports, Vol 15, Iss 1, Pp 1-34 (2025)
Publisher Information: Nature Portfolio, 2025.
Publication Year: 2025
Collection: LCC:Medicine
LCC:Science
Subject Terms: Physical education goals, Stakeholder interests, Aczel-alsina operations, Bonferroni mean, Circular intuitionistic fuzzy sets, Strategic school policy formulation, Medicine, Science
Description: Abstract Strategic school policy formulation is critical in guaranteeing the balanced growth of education systems that facilitate both academic and extracurricular objectives. Physical education makes a considerable contribution towards this vision through the promotion of lifelong healthy living, physical well-being, and general student development. This research proposes a new decision-making model using Circular Intuitionistic Fuzzy Bonferroni Mean (CIFBM) operators, which combine Aczel-Alsina triangular norms and Bonferroni aggregation rules to handle uncertainty in policy assessment. The essential properties of the proposed operators are investigated and proved. A multi-attribute group decision-making (MAGDM) approach is established to evaluate and rank strategic school policies to meet physical education goals. The methodology focuses on the importance of physical activity in promoting student achievement, cooperation, and educational viability. The case study illustrates the real-world application of the model in maximizing resource utilization, reconciling various interests of stakeholders, and enhancing student success. The findings verify the validity of the developed methodology in optimizing decision-making processes in policy development. This publication provides useful information and guidance for policymakers and educators who want to bring strategic planning into harmony with the development of school-based physical education programs. Abbreviations section is for the symbols, parameters, sets, and indices used throughout the paper.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2045-2322
Relation: https://doaj.org/toc/2045-2322
DOI: 10.1038/s41598-025-03363-3
Access URL: https://doaj.org/article/6ea9b29a1e3d47aa99bee99e7e8ff4a8
Accession Number: edsdoj.6ea9b29a1e3d47aa99bee99e7e8ff4a8
Database: Directory of Open Access Journals
Description
Abstract:Abstract Strategic school policy formulation is critical in guaranteeing the balanced growth of education systems that facilitate both academic and extracurricular objectives. Physical education makes a considerable contribution towards this vision through the promotion of lifelong healthy living, physical well-being, and general student development. This research proposes a new decision-making model using Circular Intuitionistic Fuzzy Bonferroni Mean (CIFBM) operators, which combine Aczel-Alsina triangular norms and Bonferroni aggregation rules to handle uncertainty in policy assessment. The essential properties of the proposed operators are investigated and proved. A multi-attribute group decision-making (MAGDM) approach is established to evaluate and rank strategic school policies to meet physical education goals. The methodology focuses on the importance of physical activity in promoting student achievement, cooperation, and educational viability. The case study illustrates the real-world application of the model in maximizing resource utilization, reconciling various interests of stakeholders, and enhancing student success. The findings verify the validity of the developed methodology in optimizing decision-making processes in policy development. This publication provides useful information and guidance for policymakers and educators who want to bring strategic planning into harmony with the development of school-based physical education programs. Abbreviations section is for the symbols, parameters, sets, and indices used throughout the paper.
ISSN:20452322
DOI:10.1038/s41598-025-03363-3