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Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
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Original
Published: 2024-06-30
DOI: https://doi.org/10.56294/sctconf2024986

Modeling performance evaluation in badminton sports: a fuzzy logic approach

By
Yinghao Li ,
Yinghao Li

Exercise and Sports Science, School of Health Sciences, Universiti Sains Malaysia, Kota Bahru16150, Kelantan, Malaysia

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M N Jawis ,
M N Jawis

Department of Physical Education, Zhengzhou Shengda University, Zhengzhou451191, Henan, China

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Abstract

Spectators and many young students have flocked to badminton matches in recent years. Badminton practice has received a lot of media coverage. The current state of badminton evaluation methods is lacking in reliability. This article's overarching goal is to examine the many applications of fuzzy logic in badminton performance evaluation and improvement. Data on the badminton technique's flexion and extension phases are mapped into the suggested model using a fuzzy inference system (FIS). This study suggests a fuzzy logic-based badminton-specific objective fuzzy inference system (Bmt-FIS) to evaluate team sports. Despite the gravity of the situation, decisions involving performance reviews often use subjective data. These common decision-making problems may be realistically addressed by fuzzy logic models. Fuzzy logic has the potential to be an effective tool in situations where both quantitative and qualitative data interpretation are allowed. To do this, it accounts for the inherent variability in athletic performance by taking into consideration the 'hazy' or 'uncertain' limitations of data. By taking limitations into account, a rule-based approach makes performance evaluation more precise. Here, a fuzzy inference system (FIS) uses the input variables to evaluate the student's performance. While data mining approaches have been studied, the adaptive neural fuzzy method outperforms others because of its exceptional accuracy.
This method eloquently and clearly conveys the many levels of integrity and ambiguity. Also, fuzzy logic may be a great tool for evaluating badminton skills. This foundational study connects the dynamic realm of sports with static measures.

Keywords:

Fuzzy Inference System,
neural fuzzy,
Adaptive neuro-fuzzy inference system,
Fuzzy logic,

How to Cite

1.
Li Y, M N J. Modeling performance evaluation in badminton sports: a fuzzy logic approach. Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2024 Jun. 30 [cited 2024 Jul. 5];3:986. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/986

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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