Research Article
Research on Fruit Recommendation Scheme Based on Delphi Hierarchical Analysis
@INPROCEEDINGS{10.4108/eai.8-9-2023.2340028, author={Xingzhou Chen and Xuesong Luo and Tonghui Qian and Weitao Xue}, title={Research on Fruit Recommendation Scheme Based on Delphi Hierarchical Analysis}, proceedings={Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8--10, 2023, Wuhan, China}, publisher={EAI}, proceedings_a={ICMEIM}, year={2023}, month={11}, keywords={fitness population; delphi method; hierarchical analysis; fruit recommendation}, doi={10.4108/eai.8-9-2023.2340028} }- Xingzhou Chen
Xuesong Luo
Tonghui Qian
Weitao Xue
Year: 2023
Research on Fruit Recommendation Scheme Based on Delphi Hierarchical Analysis
ICMEIM
EAI
DOI: 10.4108/eai.8-9-2023.2340028
Abstract
With the rapid development of China's economy, the dietary quality of the population has improved significantly, but there is still a major problem of nutrient deficiency in the population intake. In this paper, a fruit recommendation scheme is proposed for the lack of minerals, vitamins and dietary fiber in the dietary structure of the fitness population in China. Based on the standard values of nutrient intake from fruits and vegetables by human body, the Delphi method is applied to determine the judgment indexes of recommended fruits for muscle building population and weight loss population, and then the hierarchical analysis of the ten most popular fruits in China under the indexes is carried out using yaahp platform, and finally the recommended comprehensive scores of the ten fruits are obtained. The results showed that the top five recommended fruits for both muscle building and weight loss were kiwi, cantaloupe, dates, mandarin oranges and pears, while kiwi was recommended for muscle building and cantaloupe for weight loss in order to achieve both nutrient supplementation and weight loss. The findings of this paper are of reference value for the nutritionally balanced diet of the fitness population and the selection of fruit consumption options for the general population.
