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

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.

Keywords

• Physical education goals
• Stakeholder interests
• Aczel-alsina operations
• Bonferroni mean
• Circular intuitionistic fuzzy sets
• Strategic school policy formulation