Hesitant Bipolar Fuzzy MCDM Framework for Evaluating Swimming Analysis Technologies
Abstract
The analysis of swimming techniques has become increasingly significant for enhancing performance metrics and optimizing training methods. This study presents a novel approach to evaluate and select the optimal technology for swimming technique analysis by employing a Multi-Criteria Decision-Making (MCDM) framework within a hesitant bipolar fuzzy environment. Traditional evaluation methods often fail to handle expert evaluations’ inherent uncertainty and hesitation. To address this gap, our approach integrates hesitant bipolar fuzzy sets, effectively capturing expert judgements with high precision and flexibility. Through this method, we assess a range of technological tools across multiple criteria, including accuracy, usability, affordability, and real-time feedback capabilities. The results reveal that the chosen MCDM model achieves an accuracy of 99.2% in aligning with expert preferences, establishing it as a reliable method for ranking swimming analysis technologies. Moreover, our findings indicate that Technology D outperforms others with a preference score of 0.90, suggesting its suitability for extensive application in sports training environments. This study not only highlights the effectiveness of hesitant bipolar fuzzy sets in sports technology evaluation but also provides a robust framework for similar applications across other domains where decision-making under uncertainty is critical.References
G. Ali, M. Z. U. Abidin, Q. Xin, and F. M. Tawfiq, "Ranking of downstream fish passage designs for a hydroelectric project under spherical fuzzy bipolar soft framework," Symmetry, vol. 14, no. 10, p. 2141, 2022.
R. d’Amore-Domenech, O. Santiago, and T. J. Leo, "Multicriteria analysis of seawater electrolysis technologies for green hydrogen production at sea," Renewable and Sustainable Energy Reviews, vol. 133, p. 110166, 2020.
L. Abdullah, H. M. Pouzi, and N. A. Awang, "Intuitionistic fuzzy DEMATEL for developing causal relationship of water security," International Journal of Intelligent Computing and Cybernetics, vol. 16, no. 3, pp. 520–544, 2023.
W. Du and F. Yang, "Optimizing market risk evaluation of small and medium sized enterprises through hamacher interactive power geometric technique under uncertainty," Journal of Intelligent & Fuzzy Systems, preprint, pp. 1–17, 2024.
C. Mao, "An advanced approach to operational quality evaluation for industry-finance integration enterprises based on integrated interval-valued intuitionistic fuzzy multi-attribute decision making," Journal of Intelligent & Fuzzy Systems, preprint, pp. 1–20, 2024.
T. M. Barbosa, A. C. Barbosa, D. Simbaña Escobar, G. J. Mullen, J. M. Cossor, R. Hodierne, R. Arellano, and B. R. Mason, "The role of the biomechanics analyst in swimming training and competition analysis," Sports Biomechanics, vol. 22, no. 12, pp. 1734–1751, 2023.
G. Cosoli, L. Antognoli, V. Veroli, and L. Scalise, "Accuracy and precision of wearable devices for real-time monitoring of swimming athletes," Sensors, vol. 22, no. 13, p. 4726, 2022.
D. D. Carvalho, S. Soares, R. Zacca, J. Sousa, D. A. Marinho, A. J. Silva, J. P. Vilas-Boas, and R. J. Fernandes, "Anaerobic threshold biophysical characterisation of the four swimming techniques," International Journal of Sports Medicine, vol. 41, no. 5, pp. 318–327, 2020.
J. J. Ruiz-Navarro, Ó. López-Belmonte, A. Gay, F. Cuenca-Fernández, and R. Arellano, "A new model of performance classification to standardize the research results in swimming," European Journal of Sport Science, vol. 23, no. 4, pp. 478–488, 2023.
J. E. Morais, T. M. Barbosa, P. Forte, J. A. Bragada, F. A. D. S. Castro, and D. A. Marinho, "Stability analysis and prediction of pacing in elite 1500 m freestyle male swimmers," Sports Biomechanics, vol. 22, no. 11, pp. 1496–1513, 2023.
A. Ç. Seçkin, B. Ateş, and M. Seçkin, "Review on Wearable Technology in sports: Concepts, Challenges and opportunities," Applied Sciences, vol. 13, no. 18, p. 10399, 2023.
M. Rana and V. Mittal, "Wearable sensors for real-time kinematics analysis in sports: A review," IEEE Sensors Journal, vol. 21, no. 2, pp. 1187–1207, 2020.
A. H. Alharbi, A. A. Abdelhamid, A. Ibrahim, S. K. Towfek, N. Khodadadi, L. Abualigah, D. S. Khafaga, and A. E. M. Ahmed, "Improved dipper-throated optimization for forecasting metamaterial design bandwidth for engineering applications," Biomimetics, vol. 8, no. 2, p. 241, 2023.
J. Wang, Z. Wang, F. Gao, H. Zhao, S. Qiu, and J. Li, "Swimming stroke phase segmentation based on wearable motion capture technique," IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 10, pp. 8526–8538, 2020.
J. Devin, B. J. Cleary, and S. Cullinan, "The impact of health information technology on prescribing errors in hospitals: A systematic review and behaviour change technique analysis," Systematic Reviews, vol. 9, pp. 1–17, 2020.
T. Mahmood, H. M. Waqas, U. R. Rehman, and M. Aslam, "Selection of cloud services provider by utilizing multi-attribute decision-making based on hesitant bipolar complex fuzzy dombi aggregation operators," IEEE Access, 2024.
R. Gul, M. Shabir, and A. N. Al-Kenani, "Covering-based ((alpha), (beta))-multi-granulation bipolar fuzzy rough set model under bipolar fuzzy preference relation with decision-making applications," Complex & Intelligent Systems, vol. 10, no. 3, pp. 4351–4372, 2024.
S. Y. Musa, "N-bipolar hypersoft sets: Enhancing decision-making algorithms," Plos One, vol. 19, no. 1, p. e0296396, 2024.
DOI:
https://doi.org/10.31449/inf.v49i22.7886Downloads
Published
How to Cite
Issue
Section
License
I assign to Informatica, An International Journal of Computing and Informatics ("Journal") the copyright in the manuscript identified above and any additional material (figures, tables, illustrations, software or other information intended for publication) submitted as part of or as a supplement to the manuscript ("Paper") in all forms and media throughout the world, in all languages, for the full term of copyright, effective when and if the article is accepted for publication. This transfer includes the right to reproduce and/or to distribute the Paper to other journals or digital libraries in electronic and online forms and systems.
I understand that I retain the rights to use the pre-prints, off-prints, accepted manuscript and published journal Paper for personal use, scholarly purposes and internal institutional use.
In certain cases, I can ask for retaining the publishing rights of the Paper. The Journal can permit or deny the request for publishing rights, to which I fully agree.
I declare that the submitted Paper is original, has been written by the stated authors and has not been published elsewhere nor is currently being considered for publication by any other journal and will not be submitted for such review while under review by this Journal. The Paper contains no material that violates proprietary rights of any other person or entity. I have obtained written permission from copyright owners for any excerpts from copyrighted works that are included and have credited the sources in my article. I have informed the co-author(s) of the terms of this publishing agreement.
Copyright © Slovenian Society Informatika
