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User experience evaluation method of sports product based on genetic algorithm

Author

Listed:
  • Dong Wang
  • Xia Liu
  • Jun Zhuang

Abstract

Aiming at the low evaluation accuracy and long evaluation time of traditional sports product user experience evaluation methods, a genetic algorithm based sports product user experience evaluation method is proposed. By constructing a sports product user experience evaluation index decision matrix, various experience evaluation indicators are obtained, the membership value of each experience evaluation index is calculated, and the numerical structure relationship of potential experience indicators is established. The largest characteristic root in the structure relationship is used as the potential experience indicator. Establish different evaluation attribute matrices, calculate attribute parameter weights, construct evaluation models, output initial evaluation results, use genetic algorithm to optimise the initial evaluation results, establish objective optimisation functions, and obtain the optimisation results of objective functions, which are the final evaluation results. The simulation results show that the proposed method has higher accuracy in evaluating the user experience of sports products, and the evaluation time is shorter.

Suggested Citation

  • Dong Wang & Xia Liu & Jun Zhuang, 2023. "User experience evaluation method of sports product based on genetic algorithm," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 27(1/2), pages 80-95.
    • Handle: RePEc:ids:ijpdev:v:27:y:2023:i:1/2:p:80-95
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