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

Yanyun Zhao, Yujia Xue and Vijay Kumar

Mathematical Problems in Engineering, 2022, vol. 2022, 1-8

Abstract: 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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9115694

DOI: 10.1155/2022/9115694

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