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Applying fuzzy logic systems to personalize physical education programs
1 Department of Basic Science and Huminities, College of Agriculture, NAU, Waghai, India.
2 Department of Physical Education, College of Agriculture, NAU, Bharuch, India.
Research Article
International Journal of Science and Research Archive, 2021, 03(01), 147–151.
Article DOI: 10.30574/ijsra.2021.3.1.0083
Publication history:
Received on 22 May 2021; revised on 24 July 2021; accepted on 28 July 2021
Abstract:
This paper explores the application of fuzzy logic systems to tailor physical education (PE) programs to individual students' needs. Fuzzy logic, which deals with reasoning that is approximate rather than fixed and exact, can be used to create more adaptable and personalized PE programs. This study aims to demonstrate how fuzzy logic can enhance the personalization of fitness programs by accommodating the variability in students’ fitness levels, preferences, and goals.
Keywords:
Fuzzy Logic; Physical Education; Personalization; Adaptive Systems; Fitness Programs
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Copyright information:
Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
