Yujia Xue's scientific contributions

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Publications (1)


Flow chart of our method.
Model predicted values on environmental condition requirements.
Model predicted values on service project requirements.
Model comparison on total satisfaction.
Model comparison on ancillary facilities demand.

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Research on High-Satisfaction Evaluation of Health-Care Product Design Based on Genetic Optimization Algorithm
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June 2022

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1 Citation

Mathematical Problems in Engineering

Yanyun Zhao

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Yujia Xue

This paper proposes a high-satisfaction evaluation method for health-care product design based on the genetic optimization algorithm in order to deeply understand consumers' satisfaction with forest health-care products. This article builds a consumer demand index system for the service content of forest health-care bases from the four levels of environmental conditions, service items, supporting facilities, and service levels. According to the questionnaire survey results of 1000 randomly selected forest health-care consumers, based on the genetic optimization algorithm, the overall design takes the four levels of satisfaction evaluation into account, resulting in a more reasonable evaluation of health-care products. Experiments show that the method proposed in this paper outperforms the traditional method for evaluating health-care products.

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