Authors: Dong Wang; Xia Liu; Jun Zhuang
Addresses: Department of Physical Education, Huaiyin Institute of Technology, Huai'an, China ' Department of Physical Education, Huaiyin Institute of Technology, Huai'an, China ' Department of Physical Education, Huaiyin Institute of Technology, Huai'an, China
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.
Keywords: genetic algorithm; sports products; user experience; evaluation model.
International Journal of Product Development, 2023 Vol.27 No.1/2, pp.80 - 95
Received: 04 Jun 2021
Accepted: 24 Nov 2021
Published online: 06 Mar 2023 *