Skip to main navigation menu Skip to main content Skip to site footer
Español (España) | English

Modeling performance evaluation in badminton sports: a fuzzy logic approach

Yinghao Li ,
Yinghao Li

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

Search this author on:

PubMed | Google Scholar
M N Jawis ,
M N Jawis

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

Search this author on:

PubMed | Google Scholar


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.

How to Cite

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. 19];3:986. Available from:

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

Article metrics

Google scholar: See link


Metrics Loading ...

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.