基于设计元素的服装风格流行趋势预测研究
Clothing Style Trend Forecasting Method Based on Design Element
DOI: 10.12677/ECL.2020.91002, PDF,   
作者: 乔存蛟, 马 彪：东华大学旭日工商管理学院，上海
关键词: 风格；预测；设计元素；关联规则；灰色模型；PMI；Style； Prediction； Design Element； Association Rules； Grey Model； PMI
摘要: [目的/意义]：针对目前服装流行趋势预测研究集中于单一设计元素和服装产品销量，而非服装产品整体风格的问题，提出了一种基于设计元素的服装风格流行趋势预测方法。[方法/过程]：首先将服装产品转化为设计元素的组合，其次利用Apriori算法对公司往年的销售数据进行挖掘，找出畅销产品中频繁出现的设计元素组合，然后结合灰色模型预测出的新一年流行的单一设计元素，在百度搜索引擎中搜索，最后使用PMI对其进行过滤以提高准确率。[结果/结论]：通过对某服装公司销售数据及网络搜索数据的分析，证明了该方法能够有效预测下一阶段的服装风格流行趋势。
Abstract: [Purpose/Significance]: Current trends forecasting research focuses on a single design element and the sales of clothing, rather than the overall clothing style. In order to solve this problem, a clothing style trend forecasting method based on design element is proposed. [Methods/Process]: Firstly, the clothing products are transformed into a combination of design elements. Secondly, the Apriori algorithm is used to mine the combination of design elements that frequently appeared in the best-selling products, and then combine the popular design element of the new year that the gray model predicts. Finally search them in Baidu search engine, and filter them by using PMI to improve the accuracy. [Result/Conclusion]: Through the analysis of sales data of a clothing company and web search data, it is proved that this method can effectively predict the clothing style trend of the next stage.
文章引用：乔存蛟, 马彪. 基于设计元素的服装风格流行趋势预测研究[J]. 电子商务评论, 2020, 9(1): 10-17. https://doi.org/10.12677/ECL.2020.91002

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