Art Health Product Design and User Experience Optimization Based on Fuzzy Algorithm

Authors

  • Tingting Ma Faculty of Decorative Arts, Silpakorn University, Bangkok 10200, Thailand
  • Yodkwan Sawadee Fashion Design, Jiangxi Institute of Fashion Technology, Nanchang 330201, China

Abstract

With the improvement of living standards, consumers’ demand for health products that have both aesthetic qualities and health functions is increasing. However, due to the diversity and uncertainty of user needs, traditional design methods are unable to meet personalized and multidimensional design requirements. Hence, this study discusses the art health product design and user experience optimization based on fuzzy algorithm. The fuzzy algorithm quantifies the user requirements, builds the optimization model, and achieves the design optimization of functionality, appearance design, comfort and other dimensions. The results show that the fuzzy algorithm can significantly improve user satisfaction in terms of functionality, comfort and ease of use. After further analysis of user feedback, the research proposes future optimization directions in regard to personalized regulation and material improvement. Therefore, the research provides scientific theoretical support and practical reference for the innovative design of art health products, and helps to enhance user satisfaction with the product, and strengthen its market competitiveness.

Keywords: fuzzy algorithm; art health products; user experience optimization

Cite As

T. Ma, Y. Sawadee, "Art Health Product Design and User Experience Optimization Based on
Fuzzy Algorithm", Engineering Intelligent Systems, vol. 34 no. 1, pp. 97-108, 2026.



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Published

2026-01-01

Issue

Vol. 34 No. 1 (2026): International Journal of Engineering Intelligent Systems

Section

Article

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