2019
DOI: 10.13103/jfhs.2019.34.1.87
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Classification of Vegetable Commodities by the Codex Alimentarius Commission

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Cited by 5 publications
(2 citation statements)
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“…This paper first establishes the distribution model between different categories of vegetable commodities as well as different individual products. Considering that the sales of vegetables are related to the seasons, the average monthly sales and average daily sales of each category of vegetables are obtained by using the processing of the data, and then the data of each single product are obtained according to the same principle; for the degree of correlation between different categories [3], the Q-Q diagram is used to determine that the data do not conform to the positive distribution, so the Spearman's correlation coefficient is used to analyze and to draw heat maps; and for the correlation degree among the different single products As there are too many types of single products, grey correlation and clustering analysis are considered to deal with the degree of correlation between them, and the criterion of clustering is to take their four-year average daily sales, transform it into the overall value, and then through low-dimensional visualization, after initially judging that it can be divided into a few categories, clustering is performed on the single products. In order to help merchants determine the total daily replenishment and pricing strategy for the coming week, the seasonal ARMA model is considered to be used to fit the curves of sales and cost margin of each image category using SVR; finally, a single-objective optimization model with the goal of maximizing the revenue of the superstore is established, which helps merchants determine the total daily replenishment and pricing strategy for the coming week [4].…”
Section: Introduction To the Methodologymentioning
confidence: 99%
“…This paper first establishes the distribution model between different categories of vegetable commodities as well as different individual products. Considering that the sales of vegetables are related to the seasons, the average monthly sales and average daily sales of each category of vegetables are obtained by using the processing of the data, and then the data of each single product are obtained according to the same principle; for the degree of correlation between different categories [3], the Q-Q diagram is used to determine that the data do not conform to the positive distribution, so the Spearman's correlation coefficient is used to analyze and to draw heat maps; and for the correlation degree among the different single products As there are too many types of single products, grey correlation and clustering analysis are considered to deal with the degree of correlation between them, and the criterion of clustering is to take their four-year average daily sales, transform it into the overall value, and then through low-dimensional visualization, after initially judging that it can be divided into a few categories, clustering is performed on the single products. In order to help merchants determine the total daily replenishment and pricing strategy for the coming week, the seasonal ARMA model is considered to be used to fit the curves of sales and cost margin of each image category using SVR; finally, a single-objective optimization model with the goal of maximizing the revenue of the superstore is established, which helps merchants determine the total daily replenishment and pricing strategy for the coming week [4].…”
Section: Introduction To the Methodologymentioning
confidence: 99%
“…Cereal grain milling fractions are categorized as processed foods in Codex but are categorized as cereal grains in Korea. Particularly, dried fruits, vegetables, and herbs are categorized as processed foods in Codex, whereas they are categorized as raw ingredients or processed foods according to the processing methods in Korea (Lee 2018 ; 2019a ; 2019b ).…”
Section: Harmonization Of Standards Between Korea and Codexmentioning
confidence: 99%