Applying fuzzy logic systems to personalize physical education programs

Tejash U. Chaudhari; Krunal B. Patel; Hiren S. Makwana

doi:10.30574/ijsra.2021.3.1.0083

ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Applying fuzzy logic systems to personalize physical education programs

Tejash U. Chaudhari ¹, Krunal B. Patel ^{1, *} and Hiren S. Makwana ²

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

DOI url: https://doi.org/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

Download Article PDF

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2021-0083.pdf

Preview Article PDF

How to cite this article

Tejash U. Chaudhari, Krunal B. Patel and Hiren S. Makwana. Applying fuzzy logic systems to personalize physical education programs. International Journal of Science and Research Archive, 2021, 03(01), 147–151. Article DOI: https://doi.org/10.30574/ijsra.2021.3.1.0083

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.