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Design and Simulation Analysis of a Fuzzy Reasoning System in Traditional Martial Arts Move Attack and Defense Decision-Making

Author

Listed:
  • Huali Yang

    (Hebei Minzu Normal University, China)

  • Yongyue Song

    (Chende Medical University, China)

  • Xiaofei Geng

    (Hebei Minzu Normal University, China)

Abstract

Decision-making in martial arts involves making quick transitions between offense and defense in a state of uncertainty. This paper proposes a fuzzy reasoning system to model such decisions and incorporates kinematic features, such as distance, stance, velocity, and guard openness, into interpretable fuzzy rules. The system was implemented using the Taekwondo Unit Technique Human Action Dataset and the Karate Multimodal Motion Capture dataset. Mamdani inference was employed, along with centroid defuzzification. Experimental results demonstrate competitive accuracy (89.6% on Taekwondo Unit Technique Human Action Dataset, 91.5% on Karate sequences) and low latency, as well as better interpretability than support vector machines, random forests, and deep neural networks. Sensitivity and ablation experiments show that distance and guard openness are relevant parameters, and cross-dataset testing shows that the system can be applied to other martial arts styles, with possible applications in coaching, robotics, and intelligent training systems.

Suggested Citation

  • Huali Yang & Yongyue Song & Xiaofei Geng, 2025. "Design and Simulation Analysis of a Fuzzy Reasoning System in Traditional Martial Arts Move Attack and Defense Decision-Making," International Journal of Fuzzy System Applications (IJFSA), IGI Global Scientific Publishing, vol. 14(1), pages 1-26, January.
    • Handle: RePEc:igg:jfsa00:v:14:y:2025:i:1:p:1-26
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    References listed on IDEAS

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    1. Sobrie, Olivier & Gillis, Nicolas & Mousseau, Vincent & Pirlot, Marc, 2018. "UTA-poly and UTA-splines: Additive value functions with polynomial marginals," European Journal of Operational Research, Elsevier, vol. 264(2), pages 405-418.
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